Literature DB >> 22342097

Immortal time bias: a frequently unrecognized threat to validity in the evaluation of postoperative radiotherapy.

Henry S Park1, Cary P Gross, Danil V Makarov, James B Yu.   

Abstract

PURPOSE: To evaluate the influence of immortal time bias on observational cohort studies of postoperative radiotherapy (PORT) and the effectiveness of sequential landmark analysis to account for this bias. METHODS AND MATERIALS: First, we reviewed previous studies of the Surveillance, Epidemiology, and End Results (SEER) database to determine how frequently this bias was considered. Second, we used SEER to select three tumor types (glioblastoma multiforme, Stage IA-IVM0 gastric adenocarcinoma, and Stage II-III rectal carcinoma) for which prospective trials demonstrated an improvement in survival associated with PORT. For each tumor type, we calculated conditional survivals and adjusted hazard ratios of PORT vs. postoperative observation cohorts while restricting the sample at sequential monthly landmarks.
RESULTS: Sixty-two percent of previous SEER publications evaluating PORT failed to use a landmark analysis. As expected, delivery of PORT for all three tumor types was associated with improved survival, with the largest associated benefit favoring PORT when all patients were included regardless of survival. Preselecting a cohort with a longer minimum survival sequentially diminished the apparent benefit of PORT.
CONCLUSIONS: Although the majority of previous SEER articles do not correct for it, immortal time bias leads to altered estimates of PORT effectiveness, which are very sensitive to landmark selection. We suggest the routine use of sequential landmark analysis to account for this bias.
Copyright © 2012 Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 22342097     DOI: 10.1016/j.ijrobp.2011.10.025

Source DB:  PubMed          Journal:  Int J Radiat Oncol Biol Phys        ISSN: 0360-3016            Impact factor:   7.038


  43 in total

1.  The influence of regional health system characteristics on the surgical management and receipt of post operative radiation therapy for glioblastoma multiforme.

Authors:  Sanjay Aneja; Dhruv Khullar; James B Yu
Journal:  J Neurooncol       Date:  2013-02-15       Impact factor: 4.130

2.  Population-based estimates of survival among elderly patients with brain metastases.

Authors:  Nayan Lamba; Rachel Brigell Kearney; Paul J Catalano; Michael J Hassett; Patrick Y Wen; Daphne A Haas-Kogan; Ayal A Aizer
Journal:  Neuro Oncol       Date:  2021-04-12       Impact factor: 12.300

3.  Hospitalization burden and survival among older glioblastoma patients.

Authors:  Nils D Arvold; Yun Wang; Cory Zigler; Deborah Schrag; Francesca Dominici
Journal:  Neuro Oncol       Date:  2014-04-28       Impact factor: 12.300

4.  Treatment modalities for T1N0 esophageal cancers: a comparative analysis of local therapy versus surgical resection.

Authors:  Mark F Berry; Josiane Zeyer-Brunner; Anthony W Castleberry; Jeremiah T Martin; Beat Gloor; Ricardo Pietrobon; Thomas A D'Amico; Mathias Worni
Journal:  J Thorac Oncol       Date:  2013-06       Impact factor: 15.609

5.  Patterns of Care for Locally Advanced Pancreatic Adenocarcinoma Using the National Cancer Database.

Authors:  Arya Amini; Bernard L Jones; Priscilla Stumpf; Stephen Leong; Christopher H Lieu; Colin Weekes; S Lindsey Davis; Wells A Messersmith; William T Purcell; Debashis Ghosh; Tracey Schefter; Karyn A Goodman
Journal:  Pancreas       Date:  2017-08       Impact factor: 3.327

Review 6.  Strengths and limitations of large databases in lung cancer radiation oncology research.

Authors:  Vikram Jairam; Henry S Park
Journal:  Transl Lung Cancer Res       Date:  2019-09

7.  Advancing Pan-cancer Gene Expression Survial Analysis by Inclusion of Non-coding RNA.

Authors:  Bo Ye; Jianxin Shi; Huining Kang; Olufunmilola Oyebamiji; Deirdre Hill; Hui Yu; Scott Ness; Fei Ye; Jie Ping; Jiapeng He; Jeremy Edwards; Ying-Yong Zhao; Yan Guo
Journal:  RNA Biol       Date:  2019-10-18       Impact factor: 4.652

Review 8.  Top ten errors of statistical analysis in observational studies for cancer research.

Authors:  A Carmona-Bayonas; P Jimenez-Fonseca; A Fernández-Somoano; F Álvarez-Manceñido; E Castañón; A Custodio; F A de la Peña; R M Payo; L P Valiente
Journal:  Clin Transl Oncol       Date:  2017-12-07       Impact factor: 3.405

9.  The role of radiation therapy in resected T2 N0 esophageal cancer: a population-based analysis.

Authors:  Jeremiah T Martin; Mathias Worni; Joseph B Zwischenberger; Beat Gloor; Ricardo Pietrobon; Thomas A D'Amico; Mark F Berry
Journal:  Ann Thorac Surg       Date:  2012-10-11       Impact factor: 4.330

10.  Perioperative radiotherapy is associated with improved survival among patients with synovial sarcoma: A SEER analysis.

Authors:  Khatija W Naing; Arta M Monjazeb; Chin-Shang Li; Li-Yuan Lee; Anthony Yang; Dariusz Borys; Robert J Canter
Journal:  J Surg Oncol       Date:  2014-09-01       Impact factor: 3.454

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