Effectiveness and safety of immune checkpoint inhibitors in Black patients versus White patients in a US national health system: a retrospective cohort study.

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Title: Effectiveness and safety of immune checkpoint inhibitors in Black patients versus White patients in a US national health system: a retrospective cohort study.
Authors: Miller S; Department of Radiation Oncology, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, MI, USA; Department of Radiation Oncology, University of Michigan, Ann Arbor, MI, USA., Jiang R; Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA., Schipper M; Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA., Fritsche LG; Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA; Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, USA., Strohbehn G; Rogel Cancer Center, University of Michigan, Ann Arbor, MI, USA; Veterans Affairs Center for Clinical Management Research, Ann Arbor, MI, USA; Department of Medicine, Division of Medical Oncology, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, MI, USA; Department of Medicine, Division of Hematology/Oncology, University of Michigan, Ann Arbor, MI, USA., Wallace B; Internal Medicine/Rheumatology, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, MI, USA; Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA; Veterans Affairs Center for Clinical Management Research, Ann Arbor, MI, USA; Department of Internal Medicine, Division of Rheumatology, University of Michigan, Ann Arbor, MI, USA., Brinzevich D; Rogel Cancer Center, University of Michigan, Ann Arbor, MI, USA; Department of Medicine, Division of Hematology/Oncology, University of Michigan, Ann Arbor, MI, USA., Falvello V; Rogel Cancer Center, University of Michigan, Ann Arbor, MI, USA; Department of Medicine, Division of Hematology/Oncology, University of Michigan, Ann Arbor, MI, USA., McMahon BH; Theoretical Biology and Biophysics, Los Alamos National Laboratory, Los Alamos, NM, USA., Zamora-Resendiz R; Applied Mathematics and Computational Research Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA., Ramnath N; Rogel Cancer Center, University of Michigan, Ann Arbor, MI, USA; Department of Medicine, Division of Medical Oncology, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, MI, USA; Department of Medicine, Division of Hematology/Oncology, University of Michigan, Ann Arbor, MI, USA., Dai X; Computational Science Initiative, Brookhaven National Laboratory, Upton, NY, USA., Sankar K; Department of Medicine, Division of Medical Oncology, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA., Edwards DM; Department of Radiation Oncology, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, MI, USA; Department of Radiation Oncology, University of Michigan, Ann Arbor, MI, USA., Allen SG; Department of Radiation Oncology, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, MI, USA; Department of Radiation Oncology, University of Michigan, Ann Arbor, MI, USA., Yoo S; Computational Science Initiative, Brookhaven National Laboratory, Upton, NY, USA., Crivelli S; Applied Mathematics and Computational Research Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA., Green MD; Department of Radiation Oncology, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, MI, USA; Department of Radiation Oncology, University of Michigan, Ann Arbor, MI, USA; Rogel Cancer Center, University of Michigan, Ann Arbor, MI, USA., Bryant AK; Department of Radiation Oncology, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, MI, USA; Department of Radiation Oncology, University of Michigan, Ann Arbor, MI, USA; Rogel Cancer Center, University of Michigan, Ann Arbor, MI, USA; Veterans Affairs Center for Clinical Management Research, Ann Arbor, MI, USA. Electronic address: bralex@med.umich.edu.
Source: The Lancet. Oncology [Lancet Oncol] 2024 Dec; Vol. 25 (12), pp. 1666-1676. Date of Electronic Publication: 2024 Nov 14.
Publication Type: Journal Article; Comparative Study; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Lancet Pub. Group Country of Publication: England NLM ID: 100957246 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1474-5488 (Electronic) Linking ISSN: 14702045 NLM ISO Abbreviation: Lancet Oncol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1474-5488
DOI:10.1016/S1470-2045(24)00528-X