BMJ Open (Aug 2024)

Prognostic prediction models for treatment experienced people living with HIV: a protocol for systematic review and meta-analysis

  • Huachun Zou,
  • Zhen Lu,
  • Junfeng Wang,
  • Xinsheng Wu,
  • Yuanyi Chen

DOI
https://doi.org/10.1136/bmjopen-2023-081129
Journal volume & issue
Vol. 14, no. 8

Abstract

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Introduction Despite the favourable efficacy of antiretroviral therapy (ART), HIV/AIDS continues to impose significant disease burdens worldwide. This study aims to systematically review published prognostic prediction models for survival outcomes of treatment experienced people living with HIV (TE-PLHIV), to describe their characteristics, compare their performance and assess the risk of bias and real-world clinical utility.Methods and analysis Studies will be identified through a comprehensive search in PubMed, EMBASE, Scopus, the Cochrane Library, and OpenGrey databases. Two reviewers will independently conduct a selection of eligible studies, data extraction and critical appraisal. Included studies will be systematically summarised using appropriate tools designed for prognostic prediction modelling studies. Where applicable, evidence will be summarised with meta-analyses.Ethics and dissemination Ethical approval is not required because only available published data will be analysed. The results of this work will be published in a peer-reviewed journal.Systematic review registration PROSPERO registration number CRD42023412118.