Literature DB >> 26786924

Inferring the Effects of Cancer Treatment: Divergent Results From Early Breast Cancer Trialists' Collaborative Group Meta-Analyses of Randomized Trials and Observational Data From SEER Registries.

Katherine E Henson1, Reshma Jagsi1, David Cutter1, Paul McGale1, Carolyn Taylor1, Sarah C Darby2.   

Abstract

PURPOSE: To compare the effect of breast cancer radiotherapy as estimated from observational data with findings from randomized trials.
MATERIALS AND METHODS: Rate ratios were obtained for selected end points among 13,932 women randomly assigned to receive radiotherapy or not in trials contributing to recent meta-analyses by the Early Breast Cancer Trialists' Collaborative Group. Estimates of the same quantities were derived for 393,840 women registered with breast cancer in the US SEER registries between 1973 and 2008.
RESULTS: In the randomized trials, radiotherapy after breast-conserving surgery reduced mortality from both breast cancer (rate ratio, 0.82; 95% CI, 0.75 to 0.90) and all causes (rate ratio, 0.92; 95% CI, 0.86 to 0.99). Reductions of similar magnitude were seen in the trials of radiotherapy after mastectomy in node-positive disease (rate ratios, breast cancer 0.84; 95% CI, 0.76 to 0.94; all causes, 0.89; 95% CI, 0.81 to 0.97). In the observational data, radiotherapy after breast-conserving surgery was associated with much larger mortality reductions (rate ratios, breast cancer, 0.64; 95% CI, 0.62 to 0.66; all causes, 0.63; 95% CI, 0.62 to 0.65), whereas radiotherapy after mastectomy in node-positive disease was associated with substantial increases in mortality (rate ratios, breast cancer, 1.34; 95% CI, 1.31 to 1.37; all causes, 1.23; 95% CI, 1.22 to 1.25). Detailed adjustment of the observational data for potential confounders did not reduce the divergence from the randomized data.
CONCLUSION: This study of mortality after radiotherapy for breast cancer found strikingly divergent results between the Early Breast Cancer Trialists' Collaborative Group meta-analyses of randomized data and the SEER observational data, even when efforts had been made to remove confounding and selection biases. Nonrandomized comparisons are liable to provide misleading estimates of treatment effects. Therefore, they need careful justification every time they are used.
© 2016 by American Society of Clinical Oncology.

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Year:  2016        PMID: 26786924     DOI: 10.1200/JCO.2015.62.0294

Source DB:  PubMed          Journal:  J Clin Oncol        ISSN: 0732-183X            Impact factor:   44.544


  7 in total

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Authors:  Grace L Smith; Patricia A Ganz; Justin E Bekelman; Steven J Chmura; James J Dignam; Jason A Efstathiou; Reshma Jagsi; Peter A Johnstone; Michael L Steinberg; Stephen B Williams; James B Yu; Anthony L Zietman; Ralph R Weichselbaum; Ya-Chen Tina Shih
Journal:  Int J Radiat Oncol Biol Phys       Date:  2016-11-08       Impact factor: 7.038

2.  The Impact of Intensity Modulated Radiation Therapy on Hospitalization Outcomes in the SEER-Medicare Population With Anal Squamous Cell Carcinoma.

Authors:  Erqi L Pollom; Guanying Wang; Jeremy P Harris; Albert C Koong; Eran Bendavid; Jay Bhattacharya; Daniel T Chang
Journal:  Int J Radiat Oncol Biol Phys       Date:  2017-01-07       Impact factor: 7.038

3.  Practice patterns and outcomes for patients with node-negative hormone receptor-positive breast cancer and intermediate 21-gene Recurrence Scores.

Authors:  Jonathan Chen; Xian Wu; Paul J Christos; Silvia Formenti; Himanshu Nagar
Journal:  Breast Cancer Res       Date:  2018-04-16       Impact factor: 6.466

4.  Accuracy of a nomogram to predict the survival benefit of surgical axillary staging in T1 breast cancer patients.

Authors:  Yuxia Chen; Yuanqi Zhang; Weixiong Yang; Xiaoping Li; Liling Zhu; Kai Chen; Xiang Chen
Journal:  Medicine (Baltimore)       Date:  2018-06       Impact factor: 1.889

5.  Estimates of Overall Survival in Patients With Cancer Receiving Different Treatment Regimens: Emulating Hypothetical Target Trials in the Surveillance, Epidemiology, and End Results (SEER)-Medicare Linked Database.

Authors:  Lucia C Petito; Xabier García-Albéniz; Roger W Logan; Nadia Howlader; Angela B Mariotto; Issa J Dahabreh; Miguel A Hernán
Journal:  JAMA Netw Open       Date:  2020-03-02

6.  Development and validation of a nomogram predicting the overall survival of stage IV breast cancer patients.

Authors:  Shunrong Li; Jianli Zhao; Liling Zhu; Fengxi Su; Kai Chen
Journal:  Cancer Med       Date:  2017-10-04       Impact factor: 4.452

7.  Integration of Cancer Registry Data into the Text Information Extraction System: Leveraging the Structured Data Import Tool.

Authors:  Faina Linkov; Jonathan C Silverstein; Michael Davis; Brenda Crocker; Degan Hao; Althea Schneider; Melissa Schwenk; Sharon Winters; Joyce Zelnis; Adrian V Lee; Michael J Becich
Journal:  J Pathol Inform       Date:  2018-12-24
  7 in total

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