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Sex-based analysis of treatment responses in animal models of sepsis: a preclinical systematic review protocol

BACKGROUND: The importance of investigating sex- and gender-dependent differences has been recently emphasized by major funding agencies. Notably, the influence of biological sex on clinical outcomes in sepsis is unclear, and observational studies suffer from the effect of confounding factors. The c...

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Autores principales: Zhang, MengQi, Fergusson, Dean A., Sharma, Rahul, Khoo, Ciel, Mendelson, Asher A., McDonald, Braedon, Macala, Kimberly F., Sharma, Neha, Gill, Sean E., Fiest, Kirsten M., Lehmann, Christian, Shorr, Risa, Jahandideh, Forough, Bourque, Stephane L., Liaw, Patricia C., Fox-Robichaud, Alison, Lalu, Manoj M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10029211/
https://www.ncbi.nlm.nih.gov/pubmed/36945012
http://dx.doi.org/10.1186/s13643-023-02189-2
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author Zhang, MengQi
Fergusson, Dean A.
Sharma, Rahul
Khoo, Ciel
Mendelson, Asher A.
McDonald, Braedon
Macala, Kimberly F.
Sharma, Neha
Gill, Sean E.
Fiest, Kirsten M.
Lehmann, Christian
Shorr, Risa
Jahandideh, Forough
Bourque, Stephane L.
Liaw, Patricia C.
Fox-Robichaud, Alison
Lalu, Manoj M.
author_facet Zhang, MengQi
Fergusson, Dean A.
Sharma, Rahul
Khoo, Ciel
Mendelson, Asher A.
McDonald, Braedon
Macala, Kimberly F.
Sharma, Neha
Gill, Sean E.
Fiest, Kirsten M.
Lehmann, Christian
Shorr, Risa
Jahandideh, Forough
Bourque, Stephane L.
Liaw, Patricia C.
Fox-Robichaud, Alison
Lalu, Manoj M.
author_sort Zhang, MengQi
collection PubMed
description BACKGROUND: The importance of investigating sex- and gender-dependent differences has been recently emphasized by major funding agencies. Notably, the influence of biological sex on clinical outcomes in sepsis is unclear, and observational studies suffer from the effect of confounding factors. The controlled experimental environment afforded by preclinical studies allows for clarification and mechanistic evaluation of sex-dependent differences. We propose a systematic review to assess the impact of biological sex on baseline responses to disease induction as well as treatment responses in animal models of sepsis. Given the lack of guidance surrounding sex-based analyses in preclinical systematic reviews, careful consideration of various factors is needed to understand how best to conduct analyses and communicate findings. METHODS: MEDLINE and Embase will be searched (2011-present) to identify preclinical studies of sepsis in which any intervention was administered and sex-stratified data reported. The primary outcome will be mortality. Secondary outcomes will include organ dysfunction, bacterial load, and IL-6 levels. Study selection will be conducted independently and in duplicate by two reviewers. Data extraction will be conducted by one reviewer and audited by a second independent reviewer. Data extracted from included studies will be pooled, and meta-analysis will be conducted using random effects modeling. Primary analyses will be stratified by animal age and will assess the impact of sex at the following time points: pre-intervention, in response to treatment, and post-intervention. Risk of bias will be assessed using the SYRCLE’s risk-of-bias tool. Illustrative examples of potential methods to analyze sex-based differences are provided in this protocol. DISCUSSION: Our systematic review will summarize the current state of knowledge on sex-dependent differences in sepsis. This will identify current knowledge gaps that future studies can address. Finally, this review will provide a framework for sex-based analysis in future preclinical systematic reviews. SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD42022367726. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13643-023-02189-2.
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spelling pubmed-100292112023-03-22 Sex-based analysis of treatment responses in animal models of sepsis: a preclinical systematic review protocol Zhang, MengQi Fergusson, Dean A. Sharma, Rahul Khoo, Ciel Mendelson, Asher A. McDonald, Braedon Macala, Kimberly F. Sharma, Neha Gill, Sean E. Fiest, Kirsten M. Lehmann, Christian Shorr, Risa Jahandideh, Forough Bourque, Stephane L. Liaw, Patricia C. Fox-Robichaud, Alison Lalu, Manoj M. Syst Rev Protocol BACKGROUND: The importance of investigating sex- and gender-dependent differences has been recently emphasized by major funding agencies. Notably, the influence of biological sex on clinical outcomes in sepsis is unclear, and observational studies suffer from the effect of confounding factors. The controlled experimental environment afforded by preclinical studies allows for clarification and mechanistic evaluation of sex-dependent differences. We propose a systematic review to assess the impact of biological sex on baseline responses to disease induction as well as treatment responses in animal models of sepsis. Given the lack of guidance surrounding sex-based analyses in preclinical systematic reviews, careful consideration of various factors is needed to understand how best to conduct analyses and communicate findings. METHODS: MEDLINE and Embase will be searched (2011-present) to identify preclinical studies of sepsis in which any intervention was administered and sex-stratified data reported. The primary outcome will be mortality. Secondary outcomes will include organ dysfunction, bacterial load, and IL-6 levels. Study selection will be conducted independently and in duplicate by two reviewers. Data extraction will be conducted by one reviewer and audited by a second independent reviewer. Data extracted from included studies will be pooled, and meta-analysis will be conducted using random effects modeling. Primary analyses will be stratified by animal age and will assess the impact of sex at the following time points: pre-intervention, in response to treatment, and post-intervention. Risk of bias will be assessed using the SYRCLE’s risk-of-bias tool. Illustrative examples of potential methods to analyze sex-based differences are provided in this protocol. DISCUSSION: Our systematic review will summarize the current state of knowledge on sex-dependent differences in sepsis. This will identify current knowledge gaps that future studies can address. Finally, this review will provide a framework for sex-based analysis in future preclinical systematic reviews. SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD42022367726. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13643-023-02189-2. BioMed Central 2023-03-21 /pmc/articles/PMC10029211/ /pubmed/36945012 http://dx.doi.org/10.1186/s13643-023-02189-2 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Protocol
Zhang, MengQi
Fergusson, Dean A.
Sharma, Rahul
Khoo, Ciel
Mendelson, Asher A.
McDonald, Braedon
Macala, Kimberly F.
Sharma, Neha
Gill, Sean E.
Fiest, Kirsten M.
Lehmann, Christian
Shorr, Risa
Jahandideh, Forough
Bourque, Stephane L.
Liaw, Patricia C.
Fox-Robichaud, Alison
Lalu, Manoj M.
Sex-based analysis of treatment responses in animal models of sepsis: a preclinical systematic review protocol
title Sex-based analysis of treatment responses in animal models of sepsis: a preclinical systematic review protocol
title_full Sex-based analysis of treatment responses in animal models of sepsis: a preclinical systematic review protocol
title_fullStr Sex-based analysis of treatment responses in animal models of sepsis: a preclinical systematic review protocol
title_full_unstemmed Sex-based analysis of treatment responses in animal models of sepsis: a preclinical systematic review protocol
title_short Sex-based analysis of treatment responses in animal models of sepsis: a preclinical systematic review protocol
title_sort sex-based analysis of treatment responses in animal models of sepsis: a preclinical systematic review protocol
topic Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10029211/
https://www.ncbi.nlm.nih.gov/pubmed/36945012
http://dx.doi.org/10.1186/s13643-023-02189-2
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