Systematic Reviews (Mar 2023)

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

  • MengQi Zhang,
  • Dean A. Fergusson,
  • Rahul Sharma,
  • Ciel Khoo,
  • Asher A. Mendelson,
  • Braedon McDonald,
  • Kimberly F. Macala,
  • Neha Sharma,
  • Sean E. Gill,
  • Kirsten M. Fiest,
  • Christian Lehmann,
  • Risa Shorr,
  • Forough Jahandideh,
  • Stephane L. Bourque,
  • Patricia C. Liaw,
  • Alison Fox-Robichaud,
  • Manoj M. Lalu,
  • on behalf of the Canadian Critical Care Translational Biology Group, the Sepsis Canada National Preclinical Sepsis Platform

DOI
https://doi.org/10.1186/s13643-023-02189-2
Journal volume & issue
Vol. 12, no. 1
pp. 1 – 9

Abstract

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Abstract 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.

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