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Reply to A. Pfob and C. Sidey-Gibbons

Reply to A. Pfob and C. Sidey-Gibbons correspondence and inevitable concern for any prognostic model de- veloped with subgroups of patients, which has small or Drs Pfob and Sidey-Gibbons expressed concerns moderate sample sizes. We acknowledge this limita- about two sources of potential bias in our proposed tion and again call for caution in using our calculator for prognostic model for overall survival (OS) in patients the prediction of OS in under-represented patient with metastatic breast cancer (MBC). The first is in populations. regard to the interpretation of the prediction of OS for under-represented race or ethnic groups, specifically Carlos H. Barcenas, MD, MS for Black patients. Their concern suggests that the Department of Breast Medical Oncology, The less favorable OS found for Black patients may imply University of Texas MD Anderson Cancer Center, differences in the cancer treatments received and/or Houston, TX in responses to such treatments. Polite et al reported Juhee Song, PhD that Black patients received similar cancer treat- Department of Biostatistics, The University of Texas ments with similar treatment effects when compared MD Anderson Cancer Center, Houston, TX with their counterparts. Tammemagi et al suggested Rashmi K. Murthy, MD, MBE and that the OS difference between Black and White Akshara S. Raghavendra, http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png JCO: Clinical Cancer Informatics Wolters Kluwer Health

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Publisher
Wolters Kluwer Health
Copyright
© 2022 by American Society of Clinical Oncology
eISSN
2473-4276
DOI
10.1200/cci.21.00171
Publisher site
See Article on Publisher Site

Abstract

correspondence and inevitable concern for any prognostic model de- veloped with subgroups of patients, which has small or Drs Pfob and Sidey-Gibbons expressed concerns moderate sample sizes. We acknowledge this limita- about two sources of potential bias in our proposed tion and again call for caution in using our calculator for prognostic model for overall survival (OS) in patients the prediction of OS in under-represented patient with metastatic breast cancer (MBC). The first is in populations. regard to the interpretation of the prediction of OS for under-represented race or ethnic groups, specifically Carlos H. Barcenas, MD, MS for Black patients. Their concern suggests that the Department of Breast Medical Oncology, The less favorable OS found for Black patients may imply University of Texas MD Anderson Cancer Center, differences in the cancer treatments received and/or Houston, TX in responses to such treatments. Polite et al reported Juhee Song, PhD that Black patients received similar cancer treat- Department of Biostatistics, The University of Texas ments with similar treatment effects when compared MD Anderson Cancer Center, Houston, TX with their counterparts. Tammemagi et al suggested Rashmi K. Murthy, MD, MBE and that the OS difference between Black and White Akshara S. Raghavendra,

Journal

JCO: Clinical Cancer InformaticsWolters Kluwer Health

Published: Feb 17, 2022

References