A National Analysis of Open vs Minimally Invasive Thymectomy for Stage I-III Thymoma

A National Analysis of Open vs Minimally Invasive Thymectomy for Stage I-III Thymoma

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Journal Pre-proof A National Analysis of Open vs Minimally Invasive Thymectomy for Stage I-III Thymoma Chi-Fu Jeffrey Yang, Jacob Hurd, Shivani Shah, Douglas Liou, Hanghang Wang, Leah Backhus, Natalie Lui, Thomas D'Amico, Joseph Shrager, Mark Berry PII:

S0022-5223(19)37101-6

DOI:

https://doi.org/10.1016/j.jtcvs.2019.11.114

Reference:

YMTC 15485

To appear in:

The Journal of Thoracic and Cardiovascular Surgery

Received Date: 9 May 2019 Revised Date:

16 November 2019

Accepted Date: 19 November 2019

Please cite this article as: Jeffrey Yang C-F, Hurd J, Shah S, Liou D, Wang H, Backhus L, Lui N, D'Amico T, Shrager J, Berry M, A National Analysis of Open vs Minimally Invasive Thymectomy for Stage I-III Thymoma, The Journal of Thoracic and Cardiovascular Surgery (2020), doi: https:// doi.org/10.1016/j.jtcvs.2019.11.114. This is a PDF file of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability, but it is not yet the definitive version of record. This version will undergo additional copyediting, typesetting and review before it is published in its final form, but we are providing this version to give early visibility of the article. Please note that, during the production process, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. Copyright © 2019 Published by Elsevier Inc. on behalf of The American Association for Thoracic Surgery

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Title: A National Analysis of Open vs Minimally Invasive Thymectomy for Stage I-III

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Thymoma

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Running Head: MIS Thymectomy

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Authors: Chi-Fu Jeffrey Yang1, Jacob Hurd2, Shivani Shah3, Douglas Liou1, Hanghang Wang2,

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Leah Backhus1,4, Natalie Lui1, Thomas D'Amico2, Joseph Shrager1, Mark Berry1,4

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Institutions and Affiliations:

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1. Stanford University, Stanford, CA

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2. Duke University Medical Center, Durham, NC

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3. Harvard Medical School, Boston, MA

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4. VA Palo Alto Health Care System, Palo Alto, Calif

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Meeting Presentation: To be presented at the 99th Annual Meeting of the American Association

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for Thoracic Surgery, 2019 Toronto, Canada

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Classifications: thymoma, thymectomy, MIS surgery, VATS, robotic

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Abstract Word Count: 245

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Manuscript Word Count: 3220

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Reference Count: 37

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Tables & Figures Count: 7

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Supplementary Element Count: 9

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Corresponding author: Chi-Fu Jeffrey Yang. Falk Cardiovascular Research Center, 300

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Pasteur

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[email protected]

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Reprints will not be available from the authors

Drive,

Stanford,

CA

94305.Ph:

650-721-6400.

Fax:

650-724-6259. Email:

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Sources of Support/Conflicts of Interest: The authors have no conflicts of interest to declare. 1

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TAD is a consultant for Scanlan (<$10,000). TD is a consultant for Medtronic (<$5,000).

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Central Message

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In this national analysis, minimally invasive thymectomy was associated with similar short-term

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outcomes and intermediate-term survival when compared with open thymectomy for stage I-III

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thymoma.

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Perspective Statement

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In this national analysis, when compared with open thymectomy, minimally invasive

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thymectomy for stage I-III thymoma was associated with shorter length of stay and was not

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associated with increased margin positivity, perioperative mortality, 30-day readmission rate, or

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reduced five year survival.

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Central Picture Legend

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Open vs MIS Thymectomy for Stage I-III Thymoma: Propensity score-matched Survival

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Glossary of Abbreviations:

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MIS: Minimally Invasive

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VATS: Video-assisted Thoracoscopic

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NCDB: National Cancer Database

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LOS: Length of Stay

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RATS: Robot-assisted Thoracoscopic

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CDCC: Charlson-Deyo Comorbidity

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ABSTRACT

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characterized. We compared short-term outcomes and overall survival between open and MIS

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(video-assisted thoracoscopic [VATS] and robotic) approaches using the National Cancer Data

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Base (NCDB).

Objective The oncologic efficacy of minimally invasive (MIS) thymectomy for thymoma is not well

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Methods

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Perioperative outcomes and survival of patients who underwent open versus MIS thymectomy

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for clinical stage I-III thymoma from 2010 to 2014 in the NCDB were evaluated using

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multivariable Cox proportional hazards modeling and propensity score-matched analysis.

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Predictors of MIS use were evaluated using multivariable logistic regression. Outcomes of

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surgical approach were evaluated using an intent-to-treat analysis.

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Results

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Of the 1,223 thymectomies that were evaluated, 317 (26%) were performed minimally invasively

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(141 VATS and 176 robotic). The MIS group had a shorter median (IQR) length of stay (LOS)

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when compared to the open group (3[2,4] days vs 4[3,6] days, p < 0.001). In a propensity score-

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matched analysis of 185 open and 185 MIS (VATS + robotic) thymectomy, the MIS group

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continued to have a shorter median LOS (3 versus 4 days, p < 0.01) but did not have significant

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differences in margin positivity (p = 0.84), 30-day readmission (p = 0.28), 30-day mortality (p =

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0.60) and 5-year survival (89.4% vs 81.6%, p = 0.20) when compared to the open group.

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Conclusions

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In this national analysis, MIS thymectomy was associated with shorter LOS and was not

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associated with increased margin positivity, perioperative mortality, 30-day readmission rate, or

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reduced overall survival when compared with open thymectomy.

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INTRODUCTION

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minimally invasive (MIS) thymectomy techniques have been developed over the past two

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decades. Since the first case report for a video-assisted thoracoscopic (VATS) approach to

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thymectomy for thymoma in 1992,2 studies have reported the outcomes of both VATS and

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robotic-assisted thoracoscopic (RATS) approaches to thymectomy.3 These studies have

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generally found that when compared to a traditional open approach, a MIS approach was

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associated with reduced blood loss, chest tube duration and hospital length of stay and no

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significant differences in perioperative complications, thymoma recurrence, and 5-year survival.3

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However, concerns on the use of minimally invasive techniques for thymectomy and thymoma

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resection have been raised due to the risk of thymoma capsule violation during minimally

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invasive manipulation leading to pleural seeding that compromises the oncologic efficacy of the

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procedure with ultimate thymoma recurrence. In fact, minimally invasive approaches were

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previously considered to be appropriate only for smaller tumors less than 4 to 5 centimeters in

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size4.

The traditional approach for a thymectomy for thymoma has been via median sternotomy,1 but

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Although evidence to support those concerns or support a size limit for minimally invasive

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resection has not been published, the majority of studies comparing outcomes of open vs MIS

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thymectomy are single- or multi-center studies from high volume centers. To date, there have

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only been a few national studies evaluating the role of a MIS approach in thymectomy. The

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Japanese Association for Research on the Thymus (JART) performed a propensity score-

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matched study of 280 patients from 32 Japanese institutions and found no difference in

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recurrence-free and overall survival between open and VATS thymectomy.5 The reported the

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results of 461 patients across four continents who underwent MIS thymectomy for thymoma6.

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They found that minimally invasive thymectomy could achieve rates of R0 resection for

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thymoma similar to those achieved with traditional open thymectomy. A recent U.S. National

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Cancer Data Base (NCDB) analysis of 943 patients with stage I-II thymoma also found no

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significant differences in R0 resection between open and minimally invasive approaches to

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thymectomy.7 However, the ITMIG and NCDB studies did not specifically evaluate survival

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and over 80% of patients in the ITMIG study who underwent a MIS thymectomy were from

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Europe and Asia.

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This study was therefore undertaken to evaluate the short-term outcomes and overall survival of

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open versus MIS thymectomy for clinical stage I-III thymoma in the United States using the

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National Cancer Data Base (NCDB), which includes data from surgeons in academic and

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community centers across the U.S. The study objective was to test the hypothesis that the MIS

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approach is associated with improved short-term outcomes and similar overall survival when

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compared to thymectomy by open approaches.

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METHODS

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Data source

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The NCDB is administered by both the American College of Surgeons Commission on Cancer

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(CoC) and the American Cancer Society, and captures approximately 70% of all newly

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diagnosed cases of cancer in the U.S. and Puerto Rico.8 The NCDB collects information from

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more than 1,500 cancer centers in the U.S., and now contains more than 30 million patient

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records.

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Study Design:

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This retrospective study was approved by the Stanford and Duke University Institutional Review

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Board. Patients diagnosed with stage I-III thymoma (Masaoka–Koga staging) from 2010-2014 in

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the 2015 NCDB Participant Use Data File were identified for inclusion using International

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Classification of Diseases for Oncology, 3rd edition (ICD-O-3) histology and topography codes.

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Only patients treated with thymectomy (identified using Surgical Procedure of the Primary Site

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codes 30, 40, 50, and 60 as defined by the Facility Oncology Registry Data Standards criteria),

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who had available data on surgical approach were included. Exclusion criteria included non-

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malignant pathology, history of previous unrelated malignancy and age less than 18 years. The

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primary outcome was overall survival, assessed from the time of diagnosis to the time of death or

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last follow-up.

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hospital, 90-day mortality, hospital length of stay (LOS), surgical margin positivity, and rates of

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conversion to open. The years 2010-2014 were selected for analysis because data on surgical

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approach was not available before 2010.

Secondary outcomes were 30-day mortality and readmission to the same

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Statistical Analysis:

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Patients diagnosed with stage I-III thymoma were grouped based on whether they received open

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or minimally invasive thymectomy. Baseline characteristics and unadjusted outcomes were

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analyzed using Pearson’s chi-square test for categorical variables and Wilcoxon Rank Sum test

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for continuous variables.

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Outcomes of surgical approach were assessed using an intent-to-treat analysis; patients who

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underwent MIS or MIS converted to open thymectomy were both included in the MIS group.

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Predictors of a MIS approach were assessed using a multivariable logistic regression model that

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included variables felt to be relevant to treatment selection. The variables included in this

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multivariable logistic regression model were age, sex, race, Charlson/Deyo comorbidity (CDCC)

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score, Masaoka stage, tumor size, regional education levels, insurance type, histology, facility

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type, and distance from facility. A multivariable Cox proportional hazards model was used to

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assess differences in overall survival between the open and MIS thymectomy groups, adjusting

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for the aforementioned variables.

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Differences in perioperative and postoperative outcomes and overall survival between surgical

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approaches were also assessed using a propensity score-matched analysis of open vs MIS

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thymectomy, using methods similar to as previously described.9 Propensity scores were

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developed, defined as the probability of treatment assignment with the MIS approach versus

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open approach, conditional on age, sex, race, CDCC score, regional education levels, tumor size,

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insurance type, histology, stage, year of diagnosis, distance from facility, and facility type. All

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of the covariates selected for the model were determined a priori to be clinically relevant.

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Applying a greedy nearest neighbor matching algorithm without replacement with a caliper of

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0.01, the most appropriately-matched pairs were identified. After matching, balance among the

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pairs was evaluated using standardized differences. Following propensity-score matching,

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Kaplan-Meier analysis was used to assess the overall survival of the two groups. Secondary

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outcomes were assessed using the Mann-Whitney U test for continuous measures and Pearson’s

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chi-square test for discrete variables.

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Additional subgroup analyses were performed as well to try to limit the impact of unmeasurable

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selection biases that would impact the ability to assess differences between the different surgical

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approaches. The aforementioned propensity score-matched analysis, using the same matching

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algorithm and covariates detailed above, was performed for patients who underwent open vs MIS

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thymectomy with no co-morbidities to try to better control for the possibility that either approach

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might have been used in “sicker” patients whose co-morbidities could impact outcomes more

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than surgical approach. In addition, a propensity score-matched analysis of patients who

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underwent open vs MIS thymectomy for only stage I-II thymoma was also assessed using the

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same methodology as described above to better control for the possibility that a particular

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surgical approach might have been preferentially used for more complex tumors that already had

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a higher risk of incomplete resection or worse overall survival.

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Two additional propensity score-matched analyses were performed using the same methodology

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as described above. The first analysis was limited to patients with tumors < 4 cm and the second

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analysis was limited to patients with tumors > 4 cm. We also performed both a unadjusted and

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propensity score-matched comparison of VATS vs RATS using the same methodology as noted

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above.

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Diagnostics and model balance were evaluated without any violation of major assumptions being

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observed. A p-value of 0.05 was used to define statistical significance for all comparisons.

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Statistical analyses were performed using Stata/MP software, version 13.1 for Mac (StataCorp,

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College Station, TX).

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RESULTS

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Use and Predictors of Minimally Invasive Surgery

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The MIS approach was used in 317 (25.9%) of 1,223 patients in the NCDB who underwent

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thymectomy for stage I-III thymoma from 2010-2014 and met the study inclusion criteria (Figure

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1). Figure 2 shows the percentage of open and MIS thymectomies performed per year of study.

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MIS use increased with each year except from 2010-2011. In 2010, 45 (18.7%) of 241

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thymectomies were performed via a MIS approach. By 2014, 84 (33.2%) of 253 thymectomies

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were performed via a MIS. This translated to a 14.5% increase in MIS use over the 5-year study

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period.

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Baseline patient and tumor characteristics are displayed in Table 1. In univariable analysis,

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patients undergoing MIS thymectomy were more likely to be of older age, to have smaller

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tumors and to have earlier stage thymomas when compared to patients who received open

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thymectomy. No significant differences were found between the MIS and open groups with

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regard to sex, race, co-morbidities or histology. The results of multivariable analysis that

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evaluated predictors of the MIS approach are detailed in Table 2. In this multivariable analysis,

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patients with stage III (compared to stage I) thymoma and patients with larger tumors were less

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likely to receive a thymectomy via a MIS approach.

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Perioperative and Survival Outcomes in the Entire Cohort

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Table 1 also details the perioperative and postoperative data of the cohorts. The MIS approach

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was associated with a shorter median length of hospital stay than the open approach, but the two

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groups did not differ significantly with regard to margin positivity, 30-day mortality, 90-day

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mortality or 30-day readmission rate.

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The median follow-up for the open group was 40.7 months (IQR 27.3, 56.8) while the median

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follow-up for the MIS group was 35.9 months (IQR 24.9, 52.2). Kaplan–Meier analysis

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demonstrated a 5-year survival of 86.9% (95% CI: 83.6-89.7) for the open group and 90.7%

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(95% CI: 82.0-95.3) for MIS group (log-rank, p=0.04) (Figure 3A). In multivariable Cox

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proportional hazards analysis, a MIS approach was not associated with worse overall survival

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(HR: 0.57; 95% CI: 0.31-1.07; p=0.08) (Table 3).

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Data regarding margin status

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Data on margin status is detailed in Table 1. Of the patients with known data regarding margin

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status, 26.9% (n = 226) patients in the open group had positive margins while 22.1% (n = 65)

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patients in the MIS group had positive margins. There were no significant differences between

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the two groups regarding margin status (p = 0.39).

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Propensity Score-matched Analysis

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Propensity-score matching was performed to create two groups of 185 patients who had an open

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or MIS approach that were well-matched with regard to baseline patient and tumor

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characteristics (Table 4 & Figure 4). All standardized mean differences were less than or equal

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to 10.2%. Table 4 also shows perioperative and postoperative data for the two matched groups.

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The MIS group did not differ significantly from the open group with regard to margin positivity,

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30-day mortality, 90-day mortality, or 30-day readmission rate but did have a shorter median

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length of hospital stay. The median follow-up for the open group was 35.9 months (IQR 25.4,

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50.5) while the median follow-up for the MIS group was 36.4 months (IQR 25.8, 55.4). There

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were no significant differences in five-year overall survival between the open (81.6%, 95% CI:

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68.1-89.8) and MIS (89.4%, 95% CI: 78.6-95.0) groups (log-rank, p=0.20) (Figure 3B & Figure

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4).

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Propensity Score-matched Analysis: Data regarding margin status

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Data on margin status is detailed in Table 4. Of the patients with known data regarding margin

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status, 24.6% (n = 42) patients in the open group had positive margins while 19.0% (n = 33)

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patients in the MIS group had positive margins. There were no significant differences between

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the two groups regarding margin status (p = 0.65).

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Propensity score-matched Analysis: Patients with No Comorbidities

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A comparison of baseline characteristics after propensity matching between patients with no-

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comorbidities who underwent open and MIS thymectomy for stage I-III thymoma, is detailed in

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Supplemental Table 1. After propensity-score matching, both groups were well matched with all

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standardized mean differences less than or equal to 11.8%. Supplemental Table 1 also shows

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perioperative and postoperative data for both matched groups. The MIS group did not differ

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significantly from the open group with regard to margin positivity, and 30-day and 90-day

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mortality rates but did have a shorter length of hospital stay. The MIS group was associated with

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a higher 30-day readmission rate than the open group. There were no significant differences in

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five-year overall survival between the open (79.0%, 95% CI: 64.1-88.3) and MIS (89.7%, 95%

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CI: 75.2-95.9) groups (log-rank, p = 0.07) (Supplemental Figure 1A).

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Propensity score-matched Analysis: Patients with Stage I-II Thymoma

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An additional propensity score-matched analysis was performed for patients with stage I-II

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thymoma. After propensity-score matching, both groups were well matched (Supplemental

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Table 2). Supplemental Table 2 also shows perioperative and postoperative data for the two

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matched groups. The MIS group did not differ significantly from the open group with regard to

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margin positivity, 30-day mortality, 90-day mortality, or 30-day readmission rate but did have a

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shorter median length of hospital stay. There were no significant differences in five-year overall

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survival between the open (88.5%, 95% CI: 78.0-94.2) and MIS (90.6%, 95% CI: 77.3-96.3)

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groups (log-rank, p=0.73) (Supplemental Figure 1B).

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Propensity score-matched Analysis: Tumors < 4 cm and Tumors > 4 cm

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Two additional propensity score-matched analyses were performed. The first analysis was

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limited to patients with tumors < 4 cm (results detailed in Supplemental Table 3). In this

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subgroup analysis, there were no significant differences in margin positivity or overall survival

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(Supplemental Table 3 and supplemental figure 2A). The second analysis was limited to patients

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with tumors > 4 cm (results detailed in Supplemental Table 4). In this subgroup analysis, there

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were no significant differences in margin positivity or overall survival (Supplemental Table 4

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and supplemental figure 2B).

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VATS vs RATS

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A comparison of differences in baseline characteristics, perioperative outcomes and overall

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survival between VATS vs RATS in unadjusted and propensity score-matched analysis is

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detailed in Supplemental Table 5 and 6 and Supplemental Figures 3A and 3B. The RATS group

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had a shorter length of stay than the VATS group in unadjusted analyses although in the

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propensity score-matched analysis there were no significant differences in length of stay between

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the groups. There were no other significant differences in perioperative outcomes and overall

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survival.

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DISCUSSION

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In this study of stage I-III thymoma in the National Cancer Data Base, MIS thymectomy was

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found to be used for only a minority of patients with thymoma. When compared to patients who

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underwent open thymectomy, the MIS group did not have significantly different rates of margin

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positivity, 30-day mortality, 90-day mortality, or 30-day readmission but did have a shorter

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median length of hospital stay, in both unadjusted and propensity score-matched analyses. The

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MIS group as compared to the open group had significantly better five-year overall survival in

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unadjusted analysis and did not have worse survival in multivariable-adjusted and propensity

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score-matched analysis. Overall, these results suggest that minimally invasive techniques can be

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used when resecting thymomas without compromising oncologic efficacy.

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Our study findings are consistent with those reported by previous studies that found that MIS

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thymectomy was associated with similar or lower 30-day mortality,3, 7, 10-12 shorter length of

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hospital stay,3, 11-32 and similar or better five-year overall survival rates.3, 5, 10-13, 15, 16, 22, 24-28, 33

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The main difference between the present study findings and those previously reported is with

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regard to the rate of positive margins. Previous studies have reported R0 resection rates ranging

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from 47% to 100% and 44% to 100% for MIS and open thymectomy patient groups,

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respectively.5-7, 11, 16, 18, 20, 22, 23, 28, 30, 31, 34-36 In the present study, while there were no significant

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differences between open and MIS thymectomy with regard to margin status, both groups had

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higher than expected number of positive margins. A R0 resection was achieved in 67.7% of

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patients with open thymectomy and 72.2% of patients with MIS thymectomy. In contrast, in the

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ITMIG study of 2053 open thymectomies and 461 minimally invasive thymectomies, 88% of all

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thymectomies achieved a R0 resection and that a R0 resection was achieved in 94% of MIS

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cases.6 This discrepancy is in part because ~7% of patients in each group in our present study

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had unknown data regarding margins. However, the difference could also be that ITMIG data is

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provided directly from participating surgeons with their own assessment of the margin status

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based on both intraoperative findings as well as pathologic data. NCDB data is coded by

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registrars based on pathologic reports. We speculate that there were probably cases where the

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pathology report noted that the tumor extended to the edge of the specimen and was coded by the

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registrars or the pathologist as being a positive margin simply because the tumor was not next to

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normal tissue but in actuality would not have been considered a positive margin by the surgeon

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(e.g. in the case where the tumor “hangs” into the “air” of the pleural space when the lung is

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down). In such cases, the clinical judgement of the surgeon who performed the operation is

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often needed to clarify whether the margin is positive.

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Our study has the strength of having assembled a large cohort of patients across a wide variety of

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academic and community center, allowing both subgroup analyses as well as generalizability

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beyond high volume centers. However this study does have several limitations. First, it is a

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retrospective nature and the potential presence of unobserved confounding and selection bias

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exists. We did try to reduce bias and account for confounding variables by performing

18

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multivariable modeling and propensity-score matching. In addition, we used propensity-

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matching analyses of patients with no comorbidities and patients only with lower stage I-II

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thymoma to further consider that certain approaches may have been more preferentially used for

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“sicker” patients or less complex tumors. Second, the NCDB does not contain any details

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regarding the exact operative approach for the open thymectomy group (e.g. sternotomy vs

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thoracotomy) nor does it have data regarding surgeon experience. Third, as noted above, there

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may have been some inaccuracies or inconsistencies in the margin status data. Fourth, the

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NCDB does not have patient data regarding whether a patient had myasthenia gravis. Fifth, the

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NCDB does not contain data on postoperative complications, disease-free and disease-specific

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survival. Sixth, the NCDB does not have data regarding the use of enhanced recovery after

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surgery (ERAS) or fast-track protocols that have been shown to reduce length of stay.37 The

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findings from the study suggest that the MIS approach is associated with faster recovery, with a

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shorter median length of stay by 1 day. However, it should be noted that with the use of ERAS

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protocols, patients who undergo open approaches to thymectomy can also often go home within

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3 days after an operation. Future investigation that includes data on ERAS protocol

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implementation for thymectomies will better clarify the impact of an MIS approach on post-

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operative recovery. Seventh, the most important limitation of the study is with regard to the

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relatively short follow-up of the study. The indolent nature of thymoma is such that finding no

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difference in 5-year survival does not ensure that there is no difference in tumor recurrence or

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longer-term survival. Additional studies with longer follow-up will have to be done to ensure

358

that these results found for up to 5-year outcomes are maintained over a longer period.

359

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In this national analysis of patients with stage I-III thymoma, MIS thymectomy was observed to

361

be associated with shorter length of hospital stay, and similar margin positivity, 30-day mortality,

362

90-day mortality, 30-day readmission, and five-year survival thymectomy performed via an open

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approach. While the use of the MIS approach has been increasing, it is still only used in the

364

minority of patients undergoing thymectomy. This study supports surgeons using minimally

365

invasive techniques to resect stage I-III thymomas when they consider that those techniques will

366

allow complete resection without tumor spillage.

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REFERENCES 1. 2. 3.

4. 5.

6.

7.

8.

9.

10.

Keynes G. The surgery of the thymus gland. Br J Surg. 1946;33:201-214. Landreneau RJ, Dowling RD, Castillo WM, Ferson PF. Thoracoscopic resection of an anterior mediastinal tumor. The Annals of thoracic surgery. 1992;54:142-144. Hess NR, Sarkaria IS, Pennathur A, Levy RM, Christie NA, Luketich JD. Minimally invasive versus open thymectomy: a systematic review of surgical techniques, patient demographics, and perioperative outcomes. Annals of Cardiothoracic Surgery. 2016;5:19. Eds Selke FW dNP, Swanson SJ. . Anterior Mediastinal Masses. Sabiston & Spencer Surgery of the Chest 7th Edition. Agatsuma H, Yoshida K, Yoshino I, et al. Video-Assisted Thoracic Surgery Thymectomy Versus Sternotomy Thymectomy in Patients With Thymoma. The Annals of thoracic surgery. 2017;104:1047-1053. Burt BM, Yao X, Shrager J, et al. Determinants of Complete Resection of Thymoma by Minimally Invasive and Open Thymectomy: Analysis of an International Registry. Journal of Thoracic Oncology. 2017;12:129-136. Burt BM, Nguyen D, Groth SS, et al. Utilization of Minimally Invasive Thymectomy and Margin Negative Resection for Early Stage Thymoma. The Annals of thoracic surgery. 2019. Bilimoria KY, Stewart AK, Winchester DP, Ko CY. The National Cancer Data Base: a powerful initiative to improve cancer care in the United States. Annals of surgical oncology. 2008;15:683-690. Yang CJ, Kumar A, Gulack BC, et al. Long-term outcomes after lobectomy for non-small cell lung cancer when unsuspected pN2 disease is found: A National Cancer Data Base analysis. The Journal of thoracic and cardiovascular surgery. 2015. Hao W, Zhitao G, Jianyong D, et al. Perioperative outcomes and long-term survival in clinically early-stage thymic malignancies: video-assisted thoracoscopic thymectomy versus open approaches. Journal of Thoracic Disease. 2016;8:673-679.

20

397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442

11.

12.

13.

14.

15.

16.

17.

18.

19.

20.

21.

22.

23.

24.

25.

Liu TJ, Lin M-W, Hsieh M-S, et al. Video-Assisted Thoracoscopic Surgical Thymectomy to Treat Early Thymoma: A Comparison with the Conventional Transsternal Approach. Annals of surgical oncology. 2014;21:322-328. Xie A, Tjahjono R, Phan K, Yan TD. Video-assisted thoracoscopic surgery versus open thymectomy for thymoma: a systematic review. Annals of Cardiothoracic Surgery. 2015;4:495-508. Chao Y-K, Liu Y-H, Hsieh M-J, et al. Long-Term Outcomes After Thoracoscopic Resection of Stage I and II Thymoma: A Propensity-Matched Study. Annals of surgical oncology. 2015;22:1371-1376. Cheng Y-J, Kao E-L, Chou S-H. Videothoracoscopic Resection of Stage II Thymoma: Prospective Comparison of the Results Between Thoracoscopy and Open Methods. Chest. 2005;128:3010-3012. Chung JW, Kim HR, Kim DK, et al. Long-term Results of Thoracoscopic Thymectomy for Thymoma without Myasthenia Gravis. Journal of International Medical Research. 2012;40:1973-1981. Fadayomi AB, Iniguez CEB, Chowdhury R, et al. Propensity Score Adjusted Comparison of Minimally Invasive versus Open Thymectomy in the Management of Early Stage Thymoma. The Thoracic and cardiovascular surgeon. 2018;66:352-358. He Z, Zhu Q, Wen W, Chen L, Xu H, Li H. Surgical approaches for stage I and II thymoma-associated myasthenia gravis: feasibility of complete video-assisted thoracoscopic surgery (VATS) thymectomy in comparison with trans-sternal resection. Journal of Biomedical Research. 2013;27:62-70. Jurado J, Javidfar J, Newmark A, et al. Minimally Invasive Thymectomy and Open Thymectomy: Outcome Analysis of 263 Patients. The Annals of thoracic surgery. 2012;94:974-982. Kimura T, Inoue M, Kadota Y, et al. The oncological feasibility and limitations of videoassisted thoracoscopic thymectomy for early-stage thymomas. European Journal of Cardio-Thoracic Surgery. 2013;44:e214-e218. Kneuertz PJ, Kamel MK, Stiles BM, et al. Robotic Thymectomy Is Feasible for Large Thymomas: A Propensity-Matched Comparison. The Annals of thoracic surgery. 2017;104:1673-1678. Liqiang Q, Xiaoke C, Jia H, et al. A comparison of three approaches for the treatment of early-stage thymomas: robot-assisted thoracic surgery, video-assisted thoracic surgery, and median sternotomy. Journal of Thoracic Disease. 2017;9:1997-2005. Maniscalco P, Tamburini N, Quarantotto F, Grossi W, Garelli E, Cavallesco G. Longterm outcome for early stage thymoma: comparison between thoracoscopic and open approaches. The Thoracic and cardiovascular surgeon. 2015;63:201-205. Manoly I, Whistance RN, Sreekumar R, et al. Early and mid-term outcomes of transsternal and video-assisted thoracoscopic surgery for thymoma†. European Journal of Cardio-Thoracic Surgery. 2014;45:e187-e193. Marulli G, Comacchio GM, Schiavon M, et al. Comparing robotic and trans-sternal thymectomy for early-stage thymoma: a propensity score-matching study. European Journal of Cardio-Thoracic Surgery. 2018:ezy075-ezy075. Odaka M, Akiba T, Mori S, et al. Oncological outcomes of thoracoscopic thymectomy for the treatment of stages I–III thymomas. Interactive CardioVascular and Thoracic Surgery. 2013;17:285-290. 21

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26.

Odaka M, Shibasaki T, Asano H, Marushima H, Yamashita M, Morikawa T. Feasibility of thoracoscopic thymectomy for treatment of early stage thymoma. Asian journal of endoscopic surgery. 2015;8:439-444. 27. Odaka M, Shibasaki T, Kato D, et al. Comparison of oncological results for early- and advanced-stage thymomas: thoracoscopic thymectomy versus open thymectomy. Surgical endoscopy. 2017;31:734-742. 28. Pennathur A, Qureshi I, Schuchert MJ, et al. Comparison of surgical techniques for earlystage thymoma: Feasibility of minimally invasive thymectomy and comparison with open resection. The Journal of Thoracic and Cardiovascular Surgery. 2011;141:694-701. 29. Wilshire CL, Vallières E, Shultz D, Aye RW, Farivar AS, Louie BE. Robotic Resection of 3 cm and Larger Thymomas Is Associated With Low Perioperative Morbidity and Mortality. Innovations:Technology and Techniques in Cardiothoracic and Vascular Surgery. 2016;11:321-326. 30. Ye B, Li W, Ge X-X, et al. Surgical treatment of early-stage thymomas: robot-assisted thoracoscopic surgery versus transsternal thymectomy. Surgical endoscopy. 2014;28:122-126. 31. Ye B, Tantai J-C, Ge X-X, et al. Surgical techniques for early-stage thymoma: Videoassisted thoracoscopic thymectomy versus transsternal thymectomy. The Journal of Thoracic and Cardiovascular Surgery. 2014;147:1599-1603. 32. Yuan Z-Y, Cheng G-Y, Sun K-L, et al. Comparative study of video-assisted thoracic surgery versus open thymectomy for thymoma in one single center. Journal of Thoracic Disease. 2014;6:726-733. 33. Sakamaki Y, Oda T, Kanazawa G, Shimokawa T, Kido T, Shiono H. Intermediate-term oncologic outcomes after video-assisted thoracoscopic thymectomy for early-stage thymoma. The Journal of Thoracic and Cardiovascular Surgery. 2014;148:12301237.e1231. 34. Keijzers M, Dingemans A-mC, Blaauwgeers H, et al. 8 Years' experience with robotic thymectomy for thymomas. Surgical endoscopy. 2014;28:1202-1208. 35. Rowse PG, Roden AC, Corl FM, et al. Minimally invasive thymectomy: the Mayo Clinic experience. 2015. 2015;4:519-526. 36. Ye B, Tantai J-C, Li W, et al. Video-assisted thoracoscopic surgery versus roboticassisted thoracoscopic surgery in the surgical treatment of Masaoka stage I thymoma. World journal of surgical oncology. 2013;11:157. 37. Martin L, Sarosiek B, Harrison M, et al. Implementing a Thoracic Enhanced Recovery Program: Lessons Learned In the First Year. The Annals of thoracic surgery. 2018.

22

480 481 482 483 484 485 486 487 488 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503 504 505 506 507 508 509 510 511 512 513 514 515 516 517 518 519 520 521 522 523 524 525

Table and Figure Legend Figure 1. Flow diagram showing schema of study subject selection Figure 2. Changes in Surgical Approaches for Thymectomy Over Time Table 1. Analysis of Open vs. Minimally Invasive (MIS [Video-Assisted Thoracoscopic or Robotic]) Thymectomy: Baseline Characteristics, Perioperative and Postoperative Data Table 2. Multivariable Logistic Regression Evaluating Predictors of the Use of Minimally Invasive (MIS) Thymectomy for Patients with Stage 1-3 Thymoma Figure 3. Survival after Open vs. Minimally Invasive (MIS) Thymectomy for Stage I-III Thymoma: A. Entire Cohort B. Propensity Score-matched Analysis Table 3. Independent Predictors of Survival After Cox Proportional Hazards Adjustment for Patients with Stage 1-3 Thymoma Table 4. Propensity-matched Analysis of Open vs. Minimally Invasive (MIS [Video-Assisted Thoracoscopic or Robotic]) Thymectomy: Baseline Characteristics, Perioperative and Postoperative Data Central Figure. Open vs MIS Thymectomy for Stage I-III Thymoma: Propensity score-matched Survival Figure 4. Graphical Abstract Demonstrating the Comparison of 5-Year Survival Outcomes between Minimally Invasive (MIS) and Open Thymectomy for Patients with Stage I-III Thymoma in the National Cancer Database through a Propensity Score-Matched Analysis Video. A National Analysis of Open vs Minimally Invasive Thymectomy for Stage I-III Thymoma Supplemental Table 1. Propensity Score-Matched Analysis of Patients without Comorbidities of Open vs Minimally Invasive (MIS [Video-Assisted Thoracoscopic or Robotic]) Thymectomy: Baseline Characteristics, Perioperative and Postoperative Data Supplemental Figure 1. Survival after Open vs. Minimally Invasive (MIS) Thymectomy for Stage I-III Thymoma. A. Propensity Score-matched Patients without Comorbidities B. Propensity Score-Matched Patients with Stage I & II Thymoma Supplemental Table 2. Propensity-matched Analysis of Open vs. Minimally Invasive (MIS) Thymectomy for Stage I & II: Baseline Characteristics, Perioperative and Postoperative Data Supplemental Table 3. Propensity Score-Matched Analysis of Patients with Tumors Less than 4cm of Open vs. Minimally Invasive (MIS) Thymectomy: Baseline Characteristics, Perioperative and Postoperative Data

23

526 527 528 529 530 531 532 533 534 535 536 537 538 539 540 541 542 543 544

Supplemental Table 4. Propensity Score-Matched Analysis of Patients with Tumors Greater than 4cm of Open vs. Minimally Invasive (MIS) Thymectomy: Baseline Characteristics, Perioperative and Postoperative Data Supplemental Figure 2. Survival after Open vs. Minimally Invasive (MIS) Thymectomy for Stage I-III Thymoma. A. Propensity Score-matched Patients with Tumors less than 4cm B. Propensity Score-matched Patients with Tumors Greater than 4cm Supplemental Table 5. Analysis of Patients of Video-Assisted Thoracoscopic (VATS) vs. Robotic (RATS) Thymectomy: Baseline Characteristics, Perioperative and Postoperative Data Supplemental Table 6. Propensity Score-Matched Analysis of Patients of Video-Assisted Thoracoscopic (VATS) vs. Robotic (RATS) Thymectomy: Baseline Characteristics, Perioperative and Postoperative Data Supplemental Figure 3. Survival after Video-Assisted Thoracoscopic (VATS) vs. Robotic (RATS) Thymectomy for Stage I-III Thymoma. A. Entire Cohort B. Propensity Score-matched Analysis

24

545 546

Table 1. Analysis of Open vs. MIS (VATS or Robotic) Thymectomy: Baseline Characteristics, Perioperative and Postoperative Data

Patient characteristics

Open (N=906)

MIS (N=317)

P Value

57.4 (14.1) 486 (53.6%)

59.6 (12.7) 170 (53.6%)

0.02 1.00 0.48

632 (69.8%) 157 (17.3%) <10 94 (10.4%)

236 (74.4%) 40 (12.6%) 0 37 (11.7%)

682 (75.3%) 181 (20.0%) 36 (4.0%) <10

247 (77.9%) 55 (17.4%) 14 (4.4%) <10

141 (15.6%) 249 (27.5%) 283 (31.2%) 233 (25.7%)

49 (15.5%) 59 (18.6%) 113 (35.6%) 94 (29.7%)

400 (44.2%) 30 (3.3%) 315 (34.8%) 59 (6.5%)

161 (50.8%) <10 (<2%) 99 (31.2%) 27 (8.5%)

506 (55.8%) 66 (7.3%) 266 (29.4%) <10 (<1%) 43 (4.7%)

169 (53.3%) 11 (3.5%) 120 (37.9%) <10 (<2%) <10 (<3%)

432 (47.7%) 196 (21.6%) 278 (30.7%) 65 (45, 90)

203 (64.0%) 77 (24.3%) 37 (11.7%) 49.5 (35, 70)

95 (10.5%) 201 (32.7%) 129 (14.2%) 168 (18.5%) 149 (16.4%) 164 (18.1%)

34 (10.7%) 77 (24.3%) 51 (16.1%) 65 (20.5%) 35 (11.0%) 55 (17.4%)

Baseline Characteristics Age, (years, SD) Female, n (%) Race, n (%) White Black Asian Other Charlson Deyo Comorbidity Score, n (%) 0 1 2 3+ Education (% Without HS Diploma) 21% or more 13% - 20.9% 7% - 12.9% Less than 7% Facility, n (%) Academic/Research Program Community Cancer Program Comprehensive Community Cancer Program Integrated Network Cancer Program Insurance, n (%) Private Medicaid Medicare Other Government Program Uninsured Masaoka Stage, n (%) 1-2a 2b 3 Tumor Size, mm, median (IQR) Histology, n (%) Thymoma, type A, malignant Thymoma, type AB, malignant Thymoma, type B1, malignant Thymoma, type B2, malignant Thymoma, type B3, malignant Thymoma, malignant, NOS Induction therapy, n (%) Induction Chemotherapy Induction Chemoradiation Induction Radiation

0.59

0.02

0.13

0.02

<0.001

<0.001 0.29

0.09 104 (11.5%) 12 (1.3%) 13 (1.4%)

13 (4.1%) <10 (<2%) <10 (<2%)

25

Distance to Facility (IQR) MIS Approach, n (%) VATS RATS

10.4 (5.4,28)

12.3 (4.7,30.4)

N/A N/A

141 (44.5%) 176 (55.5%)

0.44

Perioperative Outcomes Conversion from MIS to open, n (%) Surgical margins, n (%) Negative Microscopic Residual Tumor Macroscopic Residual Tumor Residual Tumor, NOS Unknown Nodes Removed, n (IQR) 30-day mortality, n (%) 30-day readmission, n (%) 90-day mortality, n (%) Hospital Length of Stay, n (IQR)

34 (10.7%)

N/A 0.62

613 (67.7%) 132 (14.6%) 11 (1.2%) 83 (9.2%) 67 (7.4%) 18.2 (36.1) <10 51 (3.7%) <10 4 (3, 6)

229 (72.2%) 39 (12.3%) <10 24 (7.6%) 23 (7.3%) 17.4 (36.2) <10 15 (4.2%) <10 3 (2, 4)

0.05 0.75 0.38 0.99 <0.001

337 (32.7%) 65 (3.7%)

99 (30.8%) <10

0.06 <0.001

Postoperative Therapy Adjuvant Radiotherapy Adjuvant Chemotherapy

547 548 549

26

550 551

Table 2. Multivariable Logistic Regression Evaluating Predictors of the Use of MIS Thymectomy for Patients With Stage 1-3 Thymoma Age (per year) Female v male Race (ref = White) Black Other CDCC score (ref = 0) 1 2 3+ Masaoka Stage (ref Stage 1-2a) Stage 2b Stage 3 Tumor Size (per mm) Education: % without HS diploma (ref > 21%) 13% to 20.9% 7% to 12.9% Less than 7% Insurance type (ref = Uninsured) Private Medicaid Medicare Other Government Histology, (ref=Thymoma, type A, malignant) Thymoma, type AB, malignant Thymoma, type B1, malignant Thymoma, type B2, malignant Thymoma, type B3, malignant Facility type (ref = community) Comprehensive Academic/research Integrated Network Distance from facility (per mile)

Odds Ratio 0.99 0.86

95% CI 0.97, 1.01 0.62, 1.21

P 0.53 0.40

1.09 1.36

0.65, 1.84 0.78, 2.38

0.74 0.28

0.66 0.86 0.33

0.43, 1.02 0.40, 1.84 0.04, 2.96

0.06 0.70 0.32

0.90 0.34 0.98

0.61, 1.34 0.20, 0.56 0.98, 0.99

0.61 <0.001 <0.001

0.54 0.74 0.77

0.31, 0.96 0.44, 1.24 0.45, 1.32

0.04 0.26 0.35

2.67 1.54 4.30 5.87

0.75, 9.46 0.34, 6.90 1.16, 15.97 0.94, 36.53

0.13 0.57 0.03 0.06

1.07 1.45 1.32 0.80

0.63, 1.82 0.80, 2.64 0.74, 2.34 0.42, 1.55

0.81 0.22 0.35 0.51

1.94 2.30 2.63 1.00

0.66, 5.65 0.79, 6.69 0.81, 8.57 1.00, 1.00

0.23 0.13 0.11 0.50

552 553

27

554 555

Table 3. Independent Predictors of Survival After Cox Proportional Hazards Adjustment for Patients with Stage 1-3 Thymoma

MIS (ref = Open) Age (per year) Female v male Race (ref = White) Black Other CDCC score (ref = 0) 1 2 3+ Masaoka Stage (ref Stage 1-2a) Stage 2b Stage 3 Tumor Size (per mm) Education: % without HS diploma (ref > 21%) 13% to 20.9% 7% to 12.9% Less than 7% Insurance type (ref = Uninsured) Private Medicaid Medicare Other Government Histology, (ref= Thymoma, type A, malignant) Thymoma, type AB, malignant Thymoma, type B1, malignant Thymoma, type B2, malignant Thymoma, type B3, malignant Facility type (ref = community) Comprehensive Academic/research Unknown Distance from facility (per mile)

Hazard Ratio 0.57 1.05 0.64

95% CI 0.31, 1.07 1.03, 1.08 0.40, 1.02

P 0.08 <0.001 0.062

0.92 0.37

0.46, 1.82 0.13, 1.06

0.80 0.06

1.17 0.85 2.01

0.68, 2.01 0.26, 2.77 0.46, 8.87

0.57 0.78 0.36

1.88 2.05 1.00

1.06, 3.34 1.17, 3.60 1.00, 1.01

0.03 0.01 0.27

0.93 1.08 0.63

0.45, 1.90 0.54, 2.19 0.29, 1.38

0.83 0.82 0.25

0.74 1.17 1.03 0.91

0.17, 3.24 0.21, 6.56 0.22, 4.74 0.07, 11.12

0.69 0.86 0.97 0.94

0.93 0.89 1.04 1.38

0.40, 2.19 0.41, 1.94 0.44, 2.47 0.62, 3.05

0.87 0.76 0.94 0.43

1.98 1.67 3.02 1.00

0.46, 8.54 0.38, 7.23 0.65, 14.16 1.00, 1.00

0.36 0.50 0.16 0.97

556 557

28

558 559

Table 4. Propensity-matched Analysis of Open vs. MIS (VATS or Robotic) Thymectomy: Baseline Characteristics, Perioperative and Postoperative Data

Patient characteristics

Open (N=185)

MIS (N=185)

Standardized Difference

Baseline Characteristics Age, (years, SD) Female, n (%) Race, n (%) White Black Asian Other Charlson Deyo Comorbidity Score, n (%) 0 1 2 3+ Education (% Without HS Diploma), n (%) 21% or more 13% - 20.9% 7% - 12.9% Less than 7% Facility, n (%) Academic/Research Program Community Cancer Program Comprehensive Community Cancer Program Integrated Network Cancer Program Insurance, n (%) Private Medicaid Medicare Other Government Program Uninsured Masaoka Stage, n (%) 1-2a 2b 3 Tumor Size, mm (IQR) Histology, n (%) Thymoma, type A, malignant Thymoma, type AB, malignant Thymoma, type B1, malignant Thymoma, type B2, malignant Thymoma, type B3, malignant Induction Therapy, n (%) Induction Chemotherapy Induction Chemoradiation Induction Radiation Year of Diagnosis, (IQR) Distance to Facility (IQR)

62.6 (11.1) 100 (54.1%)

61.6 (10.4) 97 (52.4%)

6.5 <0.1

129 (69.7%) 38 (20.5%)

145 (78.4%) 22 (11.9%)

4.9 1.5

0 (0%)

0 (0%)

<0.1

<10

18 (9.7%)

5.3

143 (77.3%) 33 (17.8%) <10 0 (0%)

138 (74.6%) 37 (20.0%) <10 <10 (<1%)

7.7 5.6 2.6 6.7

33 (17.8%) 34 (18.4%) 70 (37.8%) 47 (25.4%)

25 (13.5%) 37 (20.0%) 64 (34.6%) 59 (31.9%)

<0.1 5.2 2.3 7.2

87 (47.0%) <10 75 (40.5%) 16 (8.6%)

96 (51.9%) <10 68 (36.8%) 16 (9.8%)

8.7 6.8 5.7 2.0

95 (51.4%) <10 77 (41.6%) <10 <10

96 (51.9%) <10 75 (40.5%) <10 <10

<0.1 4.7 1.2 4.7 5.7

116 (62.7%) 40 (21.6%) 29 (15.7%) 53 (35,75)

110 (59.5%) 49 (26.5%) 26 (14.1%) 50 (40,70)

4.5 9.0 4.2 1.0

32 (17.3%) 64 (34.6%) 32 (17.3%) 38 (20.5%) 19 (10.3%)

32 (17.3%) 58 (31.9%) 29 (15.7%) 40 (21.6%) 26 (14.1%)

<0.1 7.2 4.2 2.5 10.2

11 (5.9%) <10 0 2012 (2011,2013) 11.3 (5.6,25.4)

<10 <10 <10 2013 (2011,2013) 14 (5.2,29.3)

5.8 5.3 9.5 1.6 7.7

29

Perioperative Outcomes Conversion from open to MIS, n (%) Surgical margins, n (%) Negative Microscopic Residual Tumor Macroscopic Residual Tumor Residual Tumor, NOS Unknown Nodes Removed, n (SD) 30-day mortality, n (%) 30-day readmission, n (%) 90-day mortality, n (%) Hospital Length of Stay, n (IQR)

19 (10.3%)

p-value N/A 0.84

129 (69.7%) 26 (14.1%) <10 15 (8.1%) 14 (7.6%) 19 (36.9) <10 <10 <10 4 (3, 5)

141 (76.2%) 21 (11.4%) <10 11 (5.9%) 11 (5.9%) 18.7 (37.6) <10 <10 <10 3 (2, 4)

0.56 1.00 0.28 0.60 <0.001

62 (33.5%) <10

55 (29.7%) <10

0.43 0.78

Postoperative Therapy Adjuvant Radiotherapy Adjuvant chemotherapy

560

30

561 562 563

Supplemental Table 1. Propensity Score-Matched Analysis of Patients without Comorbidities of Open vs. MIS (VATS or Robotic) Thymectomy: Baseline Characteristics, Perioperative and Postoperative Data

Patient characteristics

Baseline Characteristics Age, (years, SD) Female, n (%) Race, n (%) White Black Asian Other Education (% Without HS Diploma), n (%) 21% or more 13% - 20.9% 7% - 12.9% Less than 7% Facility, n (%) Academic/Research Program Community Cancer Program Comprehensive Community Cancer Program Integrated Network Cancer Program Insurance, n (%) Private Medicaid Medicare Other Government Program Uninsured Masaoka Stage, n (%) 1-2a 2b 3 Tumor Size, mm, median (IQR) Histology, n (%) Thymoma, type A, malignant Thymoma, type AB, malignant Thymoma, type B1, malignant Thymoma, type B2, malignant Thymoma, type B3, malignant Induction therapy, n (%) Induction Chemotherapy Induction Chemoradiation Induction Radiation Year of Diagnosis, (IQR)

Open (N=141)

MIS (N=141)

Standardized Differences (%)

61.4 (12.0) 77 (49.5%)

61.4 (10.3) 78 (54.2%)

0.1 1.4

117 (83.0%) 15 (10.6%)

113 (80.1%) 14 (9.9%)

6.4 2.0

0 (0%) <10

0 (0%) 14 (9.9%)

<0.1 11.5

20 (14.1%) 26 (18.4%) 46 (32.6%) 49 (34.8%)

22 (15.6%) 28 (19.9%) 47 (33.3%) 44 (31.2%)

3.9 3.4 1.5 7.8

82 (58.1%) <10 41 (29.1%) 14 (9.9%)

76 (53.9%) <10 49 (34.8%) 12 (8.5%)

8.5 10.6 11.8 5.2

81 (57.4%) <10 52 (36.9%) <10 0 (0%)

78 (55.3%) <10 54 (38.3%) <10 <10

4.3 3.0 3.0 6.1 3.7

83 (58.9%) 36 (25.5%) 22 (15.6%) 52 (35,70)

83 (58.9%) 38 (30.0%) 20 (14.2%) 50 (35,70)

<0.1 3.3 3.6 0.6

21 (14.9%) 44 (31.2%) 24 (17.0%) 30 (21.3%) 22 (15.6%)

21 (14.9%) 46 (32.6%) 26 (18.4%) 29 (20.6%) 19 (13.5%)

<0.1 3.2 3.6 1.6 5.8

13 (9.2%) 0 (0%) 0 (0%) 2013 (2011,2013)

<10 0 (0%) <10 2013 (2011,2013)

10.4 <0.1 7.4 1.0

31

Distance to Facility (IQR) Perioperative Outcomes Surgical margins Negative Microscopic Residual Tumor Macroscopic Residual Tumor Residual Tumor, NOS Unknown Nodes Removed, n (SD) 30-day mortality, n (%) 30-day readmission, n (%) 90-day mortality, n (%) Hospital Length of Stay, n (IQR)

12.4 (6.2,25.4)

11 (4.9, 24.7)

96 (68.1%) 14 (9.9%) <10 15 (10.6%) 14 (9.9%) 19.1 (37.4) 0 (0%) 0 (0%) 0 (0%) 4 (3, 5)

102 (72.3%) 18 (12.8%) 0 (0%) 10 (7.1%) 11 (7.8%) 19.9 (38.6) <10 <10 <10 3 (2, 4)

6.2 p-value 0.54

0.91 0.37 0.04 0.22 <0.001

Postoperative Therapy Adjuvant Radiotherapy Adjuvant chemotherapy

51 (36.2%) <10

46 (32.6%) <10

0.53 0.16

564 565

32

566 567 568

Supplemental Table 2. Propensity-matched Analysis of Open vs. MIS Thymectomy for Stage I & II: Baseline Characteristics, Perioperative and Postoperative Data

Patient characteristics Baseline Characteristics Age, (years, SD) Female, n (%) Race, n (%) White Black Asian Other Charlson Deyo Comorbidity Score, n (%) 0 1 2 3+ Education (% Without HS Diploma) 21% or more 13% - 20.9% 7% - 12.9% Less than 7% Facility, n (%) Academic/Research Program Community Cancer Program Comprehensive Community Cancer Program Integrated Network Cancer Program Insurance, n (%) Private Medicaid Medicare Other Government Program Uninsured Masaoka Stage, n (%) 1-2a 2b Tumor Size, mm, median (IQR) Histology, n (%) Thymoma, type A, malignant Thymoma, type AB, malignant Thymoma, type B1, malignant Thymoma, type B2, malignant Thymoma, type B3, malignant Induction therapy, n (%) Induction Chemotherapy Induction Chemoradiation

Open (N=165)

MIS (N=165)

Standardized Differences

63.2 (11.1) 92 (55.8%)

62.0 (10.6) 88 (53.3%)

8.8 4.9

132 (80.0%) 17 (10.3%)

127 (77.0%) 21 (12.7%)

6.8 6.8

0 (0%)

0 (0%)

0.0

16 (9.7%)

17 (10.3%)

2.0

120 (72.7%) 33 (20.0%) 12 (7.3%) 0 (0%)

120 (72.7%) 33 (20.0%) 11 (6.7%) <10 (<1%)

0 0 2.8 7.2

22 (13.3%) 41 (24.8%) 58 (35.2%) 44 (26.7%)

23 (13.9%) 36 (21.8%) 55 (33.3%) 51 (30.9%)

1.7 7.3 3.8 9.4

83 (50.2%) <10 66 (40.0%) 13 (7.9%)

81 (49.1%) <10 64 (38.8%) 16 (9.7%)

2.4 2.7 2.5 6.5

79 (47.9%) <10 74 (44.8%) <10 <10

88 (53.3%) <10 66 (40.0%) <10 <10

10.9 5.1 10.1 0.0 3.3

120 (72.7%) 45 (27.3%) 50 (35, 69)

118 (71.5%) 47 (28.5%) 50 (35, 65)

2.6 2.6 0.6

29 (17.6%) 58 (35.2%) 31 (18.8%) 30 (18.2%) 17 (10.3%)

29 (17.6%) 53 (32.1%) 29 (17.6%) 33 (20.0%) 21 (12.7%)

0.0 6.5 3.2 4.4 6.8

<10 0 (0%)

<10 <10

11.2 10.9

33

Induction Radiation Distance to Facility (IQR) Perioperative Outcomes Surgical margins, n (%) Negative Microscopic Residual Tumor Macroscopic Residual Tumor Residual Tumor, NOS Unknown Nodes Removed, n (SD) 30-day mortality, n (%) 30-day readmission, n (%) 90-day mortality, n (%) Hospital Length of Stay, n (IQR)

0 (0%) 10.9 (4.9, 20)

<10 (<2%) 11.8 (5.2, 24)

16.7 2.5 p-value 0.81

128 (77.6%) 19 (11.5%) 0 (0%) <10 12 (7.3%) 25.1 (41.4) 0 (0%) <10 <10 4 (3,5)

130 (78.8%) 16 (9.7%) 0 (0%) <10 10 (6.1%) 21.0 (39.2) <10 <10 <10 3 (1,4)

0.23 0.51 0.29 0.90 <0.001

51 (30.9%) <10

46 (27.9%) <10

0.55 0.74

Postoperative Therapy Adjuvant Radiotherapy Adjuvant chemotherapy

569 570

34

571 572 573

Supplemental Table 3. Propensity Score-Matched Analysis of Patients with Tumors Less than 4cm of Open vs. MIS (VATS or Robotic) Thymectomy: Baseline Characteristics, Perioperative and Postoperative Data

Patient characteristics

Baseline Characteristics Age, (years, SD) Female, n (%) Race, n (%) White Black Asian Other Charlson Deyo Comorbidity Score, n (%) 0 1 2 3+

Education (% Without HS Diploma), n (%) 21% or more 13% - 20.9% 7% - 12.9% Less than 7% Facility, n (%) Academic/Research Program Community Cancer Program Comprehensive Community Cancer Program Integrated Network Cancer Program Insurance, n (%) Private Medicaid Medicare Other Government Program Uninsured Masaoka Stage, n (%) 1-2a 2b 3 Tumor Size, mm (IQR) Histology, n (%) Thymoma, type A, malignant Thymoma, type AB, malignant Thymoma, type B1, malignant Thymoma, type B2, malignant Thymoma, type B3, malignant

Open (N=37)

MIS (N=37)

Standardized Differences (%)

60.2 (9.0) 22 (59.5%)

60.5 (10.5) 23 (62.2%)

1.9 5.4

29 (78.4%) <10

27 (73.0%) <10

12.3 15.5

0 <10

0 <10

<0.1 <0.1

30 (81.1%)

29 (78.4%)

<10 <10

<10 <10

0

0

6.4 <0.1 12.2 <0.1

<10 <10 11 (29.7%) 13 (35.1%)

<10 11 (29.7%) 10 (27.0%) 12 (32.4%)

7.4 19.6 6.0 5.7

20 (54.1%) <10 15 (40.5%) <10

23 (62.2%) <10 11 (29.7%) <10

16.2 19.7 22.5 10.2

21 (56.8%) 0 13 (35.1%) 0 <10

21 (56.8%) 0 14 (37.8%) 0 <10

<0.1 <0.1 5.5 <0.1 14.5

31 (83.8%) <10 <10 30 (20,34)

29 (78.4%) <10 <10 30 (25,35)

12.2 13.7 <0.1 21.8

<10 13 (35.1%) <10 10 (27.0%) <10

<10 14 (37.8%) <10 <10 <10

7.2 5.9 7.4 24.2 8.7

35

Induction therapy, n (%) Induction Chemotherapy Induction Chemoradiation Induction Radiation Year of Diagnosis, (IQR) Distance to Facility (IQR) Perioperative Outcomes Surgical margins Negative Microscopic Residual Tumor Macroscopic Residual Tumor Residual Tumor, NOS Unknown Nodes Removed, n (SD) 30-day mortality, n (%) 30-day readmission, n (%) 90-day mortality, n (%) Hospital Length of Stay, n (IQR)

<10 0 0 2012 (2012,2014) 15 (6.5,25.4)

0 0 0 2013 (2012,2014) 8 (2.5,19.8)

23.2 <0.1 <0.1 4.0 10.2 p-value

31 (83.8%) 0 0 <10 <10 14.2 (34) 0 <10 0 3.5 (2,4)

31 (83.8%) <10 0 0 <10 23 (40.6) <10 0 <10 2 (1,4)

0.11 0.36 0.31 0.36 0.09

10 (27.0%) <10

<10 <10

0.41 0.30

0.50

Postoperative Therapy Adjuvant Radiotherapy Adjuvant chemotherapy

574 575

36

576 577 578

Supplemental Table 4. Propensity Score-Matched Analysis of Patients with Tumors Greater than 4cm of Open vs. MIS (VATS or Robotic) Thymectomy: Baseline Characteristics, Perioperative and Postoperative Data

Patient characteristics

Baseline Characteristics Age, (years, SD) Female, n (%) Race, n (%) White Black Asian Other Charlson Deyo Comorbidity Score, n (%) 0 1 2 3+

Education (% Without HS Diploma), n (%) 21% or more 13% - 20.9% 7% - 12.9% Less than 7% Facility, n (%) Academic/Research Program Community Cancer Program Comprehensive Community Cancer Program Integrated Network Cancer Program Insurance, n (%) Private Medicaid Medicare Other Government Program Uninsured Masaoka Stage, n (%) 1-2a 2b 3 Tumor Size, mm (IQR) Histology, n (%) Thymoma, type A, malignant Thymoma, type AB, malignant Thymoma, type B1, malignant Thymoma, type B2, malignant Thymoma, type B3, malignant

Open (N=137)

MIS (N=137)

Standardized Differences (%)

62.0 (11.5) 62 (45.3%)

61.9 (10.4) 67 (48.9%)

0.8 7.3

97 (70.8%) 22 (16.1%)

105 (76.6%) 16 (11.7%)

13.0 12.2

0 18 (13.1%)

0 16 (11.7%)

<0.1 4.7

100 (73.0%)

99 (72.2%) 30 (21.9%)

0

<10 <10

1.7 5.5 10.5 8.0

21 (15.3%) 21 (15.3%) 51 (37.2%) 44 (32.1%)

18 (13.1%) 28 (20.4%) 48 (35.0%) 43 (31.4%)

5.9 12.1 4.6 1.6

69 (50.4%) <10 52 (38.0%) 12 (8.8%)

67 (48.9%) <10 53 (38.7%) 13 (9.5%)

2.9 <0.1 1.5 2.6

70 (51.1%) <10 55 (40.1%) <10 0

72 (52.6%) <10 56 (40.9%) <10 <10

2.9 8.9 1.6 5.9 3.8

83 (60.6%) 27 (19.7%) 27 (19.7%) 60 (50-80)

80 (58.4%) 34 (24.8%) 23 (16.8%) 60 (48-75)

4.5 11.9 7.0 2.2

17 (12.4%) 44 (32.1%) 27 (19.7%) 30 (21.9%) 19 (13.9%)

19 (13.9%) 44 (32.1%) 24 (17.5%) 29 (21.2%) 21 (15.3%)

4.5 <0.1 5.5 1.7 3.8

27 (19.7%) 10 (7.3%)

37

Induction therapy, n (%) Induction Chemotherapy Induction Chemoradiation Induction Radiation Year of Diagnosis, (IQR) Distance to Facility (IQR) Perioperative Outcomes Surgical margins Negative Microscopic Residual Tumor Macroscopic Residual Tumor Residual Tumor, NOS Unknown Nodes Removed, n (SD) 30-day mortality, n (%) 30-day readmission, n (%) 90-day mortality, n (%) Hospital Length of Stay, n (IQR)

17 (12.4%) <10 <10 2012 (2011-2013) 11.3 (5.2-25.4)

<10 <10 <10 2013 (2011-2013) 15.7 (5.8-30.7)

18.9 <0.1 5.6 3.1 16.3 p-value

98 (71.5%) 19 (13.9%) 0 11 (8.0%) <10 17.3 (35.2) 0 <10 <10 4 (3,6)

97 (70.8%) 18 (13.1%) <10 <10 12 (8.8%) 18.4 (37.3) <10 <10 <10 3 (2,4)

0.53 0.61 1.00 1.00 <0.001

45 (32.8%) <10

44 (32.1%) <10

0.90 1.00

0.50

Postoperative Therapy Adjuvant Radiotherapy Adjuvant chemotherapy

579 580

38

581 582

Supplemental Table 5. Analysis of Patients of VATS vs. Robotic Thymectomy: Baseline Characteristics, Perioperative and Postoperative Data

Patient characteristics Baseline Characteristics Age, (years, SD) Female, n (%) Race, n (%) White Black Asian Other Charlson Deyo Comorbidity Score, n (%) 0 1 2 3+

Education (% Without HS Diploma), n (%) 21% or more 13% - 20.9% 7% - 12.9% Less than 7% Facility, n (%) Academic/Research Program Community Cancer Program Comprehensive Community Cancer Program Integrated Network Cancer Program Insurance, n (%) Private Medicaid Medicare Other Government Program Uninsured Masaoka Stage, n (%) 1-2a 2b 3 Tumor Size, mm (IQR) Histology, n (%) Thymoma, type A, malignant Thymoma, type AB, malignant Thymoma, type B1, malignant Thymoma, type B2, malignant Thymoma, type B3, malignant Induction therapy, n (%) Induction Chemotherapy

VATS (N=141)

RATS (N=176)

62 75 (53.2%)

59 95 (54.0%)

104 (73.8%) 22 (15.6%)

132 (75.0%) 18 (10.2%)

0 (0%)

0 (0%)

15 (8.5%)

26 (14.2%)

116 (82.3%) 19 (13.5%) <10 0

131 (74.4%) 36 (20.5%) <10 <10

p-value 0.19 0.89 0.24

0.30

0.43 21 (14.9%) 25 (17.7%) 45 (31.9%) 48 (34.0%)

28 (15.9%) 34 (19.3%) 68 (38.6%) 46 (26.1%) 0.10

66 (46.8%) <10 51 (36.2%) <10

95 (54.0%) <10 48 (27.3%) 19 (10.8%)

65 (46.1%) <10 59 (41.8%) <10 <10

104 (59.1%) <10 61 (34.7%) <10 <10

0.20

0.27 86 (61.0%) 34 (24.1%) 21 (14.9%) 52 (36, 78)

117 (66.5%) 43 (24.4%) 16 (9.1%) 45 (35, 63)

14 (9.9%) 35 (24.8%) 24 (17.0%) 26 (18.4%) 21 (14.9%)

20 (11.4%) 43 (24.4%) 27 (15.3%) 39 (22.2%) 14 (8.0%)

0.05 0.40

0.53 <10

<10

39

Induction Chemoradiation Induction Radiation Year of Diagnosis, (IQR) Distance to Facility (IQR) Perioperative Outcomes Conversion to Open, n (%) Surgical margins Negative Microscopic Residual Tumor Macroscopic Residual Tumor Residual Tumor, NOS Unknown Nodes Removed, n (SD) 30-day mortality, n (%) 30-day readmission, n (%) 90-day mortality, n (%) Hospital Length of Stay, n (IQR)

<10 <10 2013 (2011,2014) 10.9 (4, 29.2)

<10 <10 2013 (2011.5, 2013) 12.9 (5.8, 31.3)

26 (18.4%)

<10

98 (69.5%) 17 (12.1%) <10 12 (8.5%) 12 (8.5%) 0 (0,2) <10 <10 <10 3 (2, 4)

131 (74.4%) 22 (12.5%) 0 12 (6.8%) 11 (6.3%) 0 (0,6) 0 <10 0 2 (1, 4)

0.46 0.27 0.46 0.06 0.02

42 (29.8%) <10

57 (32.4%) 0

0.62 <0.01

0.95 0.07

<0.01 0.60

Postoperative Therapy Adjuvant Radiotherapy Adjuvant chemotherapy

583

40

584 585

Supplemental Table 6. Propensity Score-Matched Analysis of Patients of VATS vs. Robotic Thymectomy: Baseline Characteristics, Perioperative and Postoperative Data

Patient characteristics

Baseline Characteristics Age, (years, SD) Female, n (%) Race, n (%) White Black Asian Other Charlson Deyo Comorbidity Score, n (%) 0 1 2 3+ Education (% Without HS Diploma), n (%) 21% or more 13% - 20.9% 7% - 12.9% Less than 7% Facility, n (%) Academic/Research Program Community Cancer Program Comprehensive Community Cancer Program Integrated Network Cancer Program Insurance, n (%) Private Medicaid Medicare Other Government Program Uninsured Masaoka Stage, n (%) 1-2a 2b 3 Tumor Size, mm (IQR) Histology, n (%) Thymoma, type A, malignant Thymoma, type AB, malignant Thymoma, type B1, malignant Thymoma, type B2, malignant Thymoma, type B3, malignant Induction therapy, n (%)

VATS (N=77)

RATS (N=77)

61.1 (12.2) 45 (58.4%)

60.9 (10.7) 46 (59.7%)

1.0 2.6

61 (79.2%) 11 (14.3%)

65 (84.4%) <10 (<12%)

11.9 7.5

0 (0%) <10

0 <10

Standardized Differences (%)

<0.1 8.5

62 (80.5%) 11 (14.3%) <10 0

63 (81.8%) 10 (13.0%) <10 0

3.1 3.5 <0.1 <0.1

12 (15.6%) 12 (15.6%) 20 (26.0%) 32 (41.6%)

14 (18.2%) 16 (20.8%) 27 (35.1%) 20 (26.0%)

7.0 12.7 18.6 34.9

38 (49.4%) <10 29 (37.7%) <10

43 (55.8%) 0 19 (24.7%) 12 (15.6%)

13.5 50.0 28.4 38.5

39 (50.6%) <10 33 (42.9%) <10 0

38 (49.4%) <10 33 (42.9%) <10 0

2.6 <0.1 <0.1 10.5 <0.1

48 (62.3%) 19 (24.7%) 10 (13.0%) 45 (35,70)

46 (59.7%) 21 (27.3%) 10 (13.0%) 45 (30,65)

5.4 6.0 <0.1 2.0

12 (15.6%) 23 (30.0%) 15 (19.5%) 16 (20.8%) 11 (14.3%)

16 (20.8%) 23 (30.0%) 11 (14.3%) 23 (30.0%) <10

15.4 <0.1 13.0 21.0 27.1

41

Induction Chemotherapy Induction Chemoradiation Induction Radiation Year of Diagnosis, (IQR) Distance to Facility (IQR) Perioperative Outcomes Surgical margins Negative Microscopic Residual Tumor Macroscopic Residual Tumor Residual Tumor, NOS Unknown Nodes Removed, n (SD) 30-day mortality, n (%) 30-day readmission, n (%) 90-day mortality, n (%) Hospital Length of Stay, n (IQR) Postoperative Therapy Adjuvant Radiotherapy Adjuvant chemotherapy

<10 <10 <10 2013 (2011,2014) 7.5 (2.8,20.0)

<10 0 <10 2013 (2012,2013) 13.5 (5.9,42.6)

18.2 14.7 <0.1 1.0 32.0 p-value 0.52

56 (72.7%) <10 <10 <10 <10 12.7 (31.6) <10 <10 <10 3 (2,4)

59 (76.6%) <10 0 <10 <10 16.7 (35.8) 0 <10 0 2 (1, 3)

0.79 0.32 0.34 0.22 0.08

22 (28.6%) <10

27 (35.1%) 0

0.39 0.02

586

42