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Comprehensive adjusted outcome data are needed to assess the impact of immune checkpoint inhibitors in cancer patients with COVID‐19: Results of a systematic review and meta‐analysis
BACKGROUND: Determining how prior immune checkpoint inhibitor (ICI) therapy influences outcomes in cancer patients presenting with COVID‐19 is essential for patient management but must account for confounding variables. METHODS: We performed a systematic review and meta‐analysis of studies reporting...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9111045/ https://www.ncbi.nlm.nih.gov/pubmed/35416370 http://dx.doi.org/10.1002/rmv.2352 |
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author | Minkove, Samuel J. Sun, Junfeng Li, Yan Cui, Xizhong Cooper, Diane Eichacker, Peter Q. Torabi‐Parizi, Parizad |
author_facet | Minkove, Samuel J. Sun, Junfeng Li, Yan Cui, Xizhong Cooper, Diane Eichacker, Peter Q. Torabi‐Parizi, Parizad |
author_sort | Minkove, Samuel J. |
collection | PubMed |
description | BACKGROUND: Determining how prior immune checkpoint inhibitor (ICI) therapy influences outcomes in cancer patients presenting with COVID‐19 is essential for patient management but must account for confounding variables. METHODS: We performed a systematic review and meta‐analysis of studies reporting adjusted effects of ICIs on survival, severe events, or hospitalisation in cancer patients with COVID‐19 based on variables including age, gender, diabetes mellitus, hypertension (HTN), chronic obstructive pulmonary disease, and other comorbidities. When adjusted effects were unavailable, unadjusted data were analysed. RESULTS: Of 42 observational studies (38 retrospective), 7 reported adjusted outcomes for ICIs and 2 provided sufficient individual patient data to calculate adjusted outcomes. In eight studies, adjusted outcomes were based on ≤7 variables. Over all studies, only one included >100 ICI patients while 26 included <10. ICIs did not alter the odds ratio (95%CI) (OR) of death significantly (random effects model), across adjusted (n = 8) [1.31 (0.58–2.95) p = 0.46; I (2) = 42%, p = 0.10], unadjusted (n = 30) [1.06 (0.85–1.32) p = 0.58; I (2) = 0%, p = 0.76] or combined [1.09 (0.88;1.36) p = 0.41; I (2) = 0%, p = 0.5)] studies. Similarly, ICIs did not alter severe events significantly across adjusted (n = 5) [1.20 (0.30–4.74) p = 0.73; I (2) = 52%, p = 0.08], unadjusted (n = 19) [(1.23 (0.87–1.75) p = 0.23; I (2) = 16%, p = 0.26] or combined [1.26 (0.90–1.77) p = 0.16; I (2) = 25%, p = 0.14] studies. Two studies provided adjusted hospitalisation data and when combined with 13 unadjusted studies, ICIs did not alter hospitalisation significantly [1.19 (0.85–1.68) p = 029; I (2) = 5%, p = 0.40]. Results of sensitivity analyses examining ICI effects based on 5 variables were inconclusive. Certainty of evidence was very low. CONCLUSIONS: Across studies with adjusted and unadjusted results, ICIs did not alter outcomes significantly. But studies with comprehensive adjusted outcome data controlling for confounding variables are necessary to determine whether ICIs impact COVID‐19 outcomes in cancer patients. |
format | Online Article Text |
id | pubmed-9111045 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-91110452022-05-17 Comprehensive adjusted outcome data are needed to assess the impact of immune checkpoint inhibitors in cancer patients with COVID‐19: Results of a systematic review and meta‐analysis Minkove, Samuel J. Sun, Junfeng Li, Yan Cui, Xizhong Cooper, Diane Eichacker, Peter Q. Torabi‐Parizi, Parizad Rev Med Virol Reviews BACKGROUND: Determining how prior immune checkpoint inhibitor (ICI) therapy influences outcomes in cancer patients presenting with COVID‐19 is essential for patient management but must account for confounding variables. METHODS: We performed a systematic review and meta‐analysis of studies reporting adjusted effects of ICIs on survival, severe events, or hospitalisation in cancer patients with COVID‐19 based on variables including age, gender, diabetes mellitus, hypertension (HTN), chronic obstructive pulmonary disease, and other comorbidities. When adjusted effects were unavailable, unadjusted data were analysed. RESULTS: Of 42 observational studies (38 retrospective), 7 reported adjusted outcomes for ICIs and 2 provided sufficient individual patient data to calculate adjusted outcomes. In eight studies, adjusted outcomes were based on ≤7 variables. Over all studies, only one included >100 ICI patients while 26 included <10. ICIs did not alter the odds ratio (95%CI) (OR) of death significantly (random effects model), across adjusted (n = 8) [1.31 (0.58–2.95) p = 0.46; I (2) = 42%, p = 0.10], unadjusted (n = 30) [1.06 (0.85–1.32) p = 0.58; I (2) = 0%, p = 0.76] or combined [1.09 (0.88;1.36) p = 0.41; I (2) = 0%, p = 0.5)] studies. Similarly, ICIs did not alter severe events significantly across adjusted (n = 5) [1.20 (0.30–4.74) p = 0.73; I (2) = 52%, p = 0.08], unadjusted (n = 19) [(1.23 (0.87–1.75) p = 0.23; I (2) = 16%, p = 0.26] or combined [1.26 (0.90–1.77) p = 0.16; I (2) = 25%, p = 0.14] studies. Two studies provided adjusted hospitalisation data and when combined with 13 unadjusted studies, ICIs did not alter hospitalisation significantly [1.19 (0.85–1.68) p = 029; I (2) = 5%, p = 0.40]. Results of sensitivity analyses examining ICI effects based on 5 variables were inconclusive. Certainty of evidence was very low. CONCLUSIONS: Across studies with adjusted and unadjusted results, ICIs did not alter outcomes significantly. But studies with comprehensive adjusted outcome data controlling for confounding variables are necessary to determine whether ICIs impact COVID‐19 outcomes in cancer patients. John Wiley and Sons Inc. 2022-04-13 2022-09 /pmc/articles/PMC9111045/ /pubmed/35416370 http://dx.doi.org/10.1002/rmv.2352 Text en Published 2022. This article is a U.S. Government work and is in the public domain in the USA. Reviews in Medical Virology published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. |
spellingShingle | Reviews Minkove, Samuel J. Sun, Junfeng Li, Yan Cui, Xizhong Cooper, Diane Eichacker, Peter Q. Torabi‐Parizi, Parizad Comprehensive adjusted outcome data are needed to assess the impact of immune checkpoint inhibitors in cancer patients with COVID‐19: Results of a systematic review and meta‐analysis |
title | Comprehensive adjusted outcome data are needed to assess the impact of immune checkpoint inhibitors in cancer patients with COVID‐19: Results of a systematic review and meta‐analysis |
title_full | Comprehensive adjusted outcome data are needed to assess the impact of immune checkpoint inhibitors in cancer patients with COVID‐19: Results of a systematic review and meta‐analysis |
title_fullStr | Comprehensive adjusted outcome data are needed to assess the impact of immune checkpoint inhibitors in cancer patients with COVID‐19: Results of a systematic review and meta‐analysis |
title_full_unstemmed | Comprehensive adjusted outcome data are needed to assess the impact of immune checkpoint inhibitors in cancer patients with COVID‐19: Results of a systematic review and meta‐analysis |
title_short | Comprehensive adjusted outcome data are needed to assess the impact of immune checkpoint inhibitors in cancer patients with COVID‐19: Results of a systematic review and meta‐analysis |
title_sort | comprehensive adjusted outcome data are needed to assess the impact of immune checkpoint inhibitors in cancer patients with covid‐19: results of a systematic review and meta‐analysis |
topic | Reviews |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9111045/ https://www.ncbi.nlm.nih.gov/pubmed/35416370 http://dx.doi.org/10.1002/rmv.2352 |
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