Literature DB >> 32356321

Time trends and predictors of survival in surgically resected early-stage non-small cell lung cancer patients.

Jitesh B Shewale1,2, Erin M Corsini1, Arlene M Correa1, Eric L Brown2, Luis G Leon-Novelo3, Alan G Nyitray2,4, Mara B Antonoff1, Wayne L Hofstetter1, Reza J Mehran1, David C Rice1, Jack Roth1, Garrett L Walsh1, Ara A Vaporciyan1, Stephen G Swisher1, Boris Sepesi1.   

Abstract

BACKGROUND: The improvement in the management of lung cancer have the potential to improve survival in patients undergoing resection for early-stage (stage I and II) non-small cell lung cancer (NSCLC), but few studies have evaluated time trends and identified predictors of overall survival (OS).
METHODS: We identified surgically resected early-stage NSCLC between 1998 and 2016. The 3-year OS (1998-2014) and 5-year OS (1998-2012) rates were calculated for each year. Joinpoint regression was used to calculate annual percentage changes (APC) and to test time trends in OS. Multivariable Cox regression was used to identify predictors of OS.
RESULTS: There was a significant upward trend in the 3-year (1998, 56%; 2014, 83%; APC = 1.8) and 5-year (1998, 47%; 2012, 76%; APC = 3.1) OS. Older age; male sex; history of diabetes, coronary artery disease, and chronic obstructive pulmonary disease; high ASA score; smoking pack-years; high-grade tumor; pneumonectomy; thoracotomy; neoadjuvant therapy; nodal disease; and positive tumor margin were predictors of poor OS.
CONCLUSION: The upward time trend in OS suggests that improved staging, patient selection, and management have conferred a survival benefit in early-stage NSCLC patients. The prediction model of OS could be used to refine selection criteria for resection and improve survival outcomes.
© 2020 Wiley Periodicals, Inc.

Entities:  

Keywords:  early-stage NSCLC; lung resection; nomogram; overall survival; prediction model; temporal trend

Year:  2020        PMID: 32356321     DOI: 10.1002/jso.25966

Source DB:  PubMed          Journal:  J Surg Oncol        ISSN: 0022-4790            Impact factor:   3.454


  3 in total

1.  Implementation and Uptake of Rural Lung Cancer Screening.

Authors:  Tri Le; Stacie Miller; Emily Berry; Sarah Zamarripa; Aurelio Rodriguez; Benjamin Barkley; Asha Kandathil; Cecelia Brewington; Keith E Argenbright; David E Gerber
Journal:  J Am Coll Radiol       Date:  2022-02-07       Impact factor: 5.532

2.  Kinetics of plasma cfDNA predicts clinical response in non-small cell lung cancer patients.

Authors:  Xiaorong Zhou; Chenchen Li; Zhao Zhang; Daniel Y Li; Jinwei Du; Ping Ding; Haiyan Meng; Hui Xu; Ronglei Li; Effie Ho; Aiguo Zhang; Paul Okunieff; Jianwei Lu; Michael Y Sha
Journal:  Sci Rep       Date:  2021-04-07       Impact factor: 4.379

Review 3.  Updated Prognostic Factors in Localized NSCLC.

Authors:  Simon Garinet; Pascal Wang; Audrey Mansuet-Lupo; Ludovic Fournel; Marie Wislez; Hélène Blons
Journal:  Cancers (Basel)       Date:  2022-03-09       Impact factor: 6.639

  3 in total

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