Literature DB >> 27207121

Propensity-score analysis in thoracic surgery: When, why, and an introduction to how.

Daniel G Winger1, Katie S Nason2.   

Abstract

Propensity score matching is a valuable tool for dealing with observational data and nonrandom treatment assignment, which often results in groups that differ systematically in numerous measured and unmeasured variables. When these systematically different variables are associated with both group assignment and the outcome(s) of interest, bias is introduced. Propensity score matching assigns a propensity for group assignment, which is then used to create 2 groups that are balanced across all possible variables that might influence exposure assignment. When used in the proper conditions, these analytics allow for more accurate and precise estimates of risk for a variety of outcomes.
Copyright © 2016. Published by Elsevier Inc.

Keywords:  epidemiologic methods; probability; propensity score

Mesh:

Year:  2016        PMID: 27207121     DOI: 10.1016/j.jtcvs.2016.02.036

Source DB:  PubMed          Journal:  J Thorac Cardiovasc Surg        ISSN: 0022-5223            Impact factor:   5.209


  8 in total

1.  Tips and tricks of the propensity score methods in the thoracic surgery research.

Authors:  Luca Bertolaccini; Alessandro Pardolesi; Piergiorgio Solli
Journal:  J Thorac Dis       Date:  2017-04       Impact factor: 2.895

2.  Managing patients with acute type A aortic dissection and mesenteric malperfusion syndrome: A 20-year experience.

Authors:  Bo Yang; Elizabeth L Norton; Carlo Maria Rosati; Xiaoting Wu; Karen M Kim; Minhaj S Khaja; G Michael Deeb; David M Williams; Himanshu J Patel
Journal:  J Thorac Cardiovasc Surg       Date:  2018-12-14       Impact factor: 5.209

3.  Comparison of the Short- and Long-term Outcomes of Video-assisted Thoracoscopic Surgery versus Open Thoracotomy Bronchial Sleeve Lobectomy for Central Lung Cancer: A Retrospective Propensity Score Matched Cohort Study.

Authors:  Yanbo Yang; Jiandong Mei; Feng Lin; Qiang Pu; Lin Ma; Chengwu Liu; Yunke Zhu; Chenglin Guo; Liang Xia; Lunxu Liu
Journal:  Ann Surg Oncol       Date:  2020-07-08       Impact factor: 5.344

4.  Propensity score matching in otolaryngologic literature: A systematic review and critical appraisal.

Authors:  Aman Prasad; Max Shin; Ryan M Carey; Kevin Chorath; Harman Parhar; Scott Appel; Alvaro Moreira; Karthik Rajasekaran
Journal:  PLoS One       Date:  2020-12-31       Impact factor: 3.240

5.  The extent of mediastinal lymph node dissection correlates with survival of small cell lung cancer patients after resection: a propensity score-matched cohort study analysis.

Authors:  Jinlin Cao; Jinming Xu; Haojie Yu; Pengxu Qian; Wang Lv; Tianyu He; Ping Yuan; Filippo Longo; Luca Bertolaccini; Kazuhiro Yasufuku; A Justin Rucker; Jian Hu
Journal:  Transl Lung Cancer Res       Date:  2022-07

6.  Squamous cell carcinoma predicts worse prognosis than adenocarcinoma in stage IA lung cancer patients: A population-based propensity score matching analysis.

Authors:  Bo Hao; Fang Li; Xiaoxia Wan; Shize Pan; Donghang Li; Congkuan Song; Ning Li; Qing Geng
Journal:  Front Surg       Date:  2022-08-23

7.  Adjuvant radiotherapy for patients with pathologic node-negative esophageal carcinoma: A population based propensity matching analysis.

Authors:  Hui-Jiang Gao; Xiao-Bin Shang; Lei Gong; Hong-Dian Zhang; Peng Ren; Guo-Dong Shi; Yu-Cheng Wei; Zhen-Tao Yu
Journal:  Thorac Cancer       Date:  2019-12-11       Impact factor: 3.500

8.  Neoadjuvant chemoradiotherapy plus surgery versus surgery alone for clinical node-negative esophageal carcinoma.

Authors:  Hui-Jiang Gao; Yu-Cheng Wei; Lei Gong; Nan Ge; Bin Han; Guo-Dong Shi; Zhen-Tao Yu
Journal:  Thorac Cancer       Date:  2020-08-04       Impact factor: 3.500

  8 in total

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