Your browser doesn't support javascript.
loading
Prognostic prediction models for treatment experienced people living with HIV: a protocol for systematic review and meta-analysis.
Wu, Xinsheng; Chen, Yuanyi; Lu, Zhen; Wang, Junfeng; Zou, Huachun.
Affiliation
  • Wu X; School of Public Health, Fudan University, Shanghai, China.
  • Chen Y; Shenzhen Campus of Sun Yat-sen University, Shenzhen, China.
  • Lu Z; School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, China.
  • Wang J; Shenzhen Campus of Sun Yat-sen University, Shenzhen, China.
  • Zou H; School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, China.
BMJ Open ; 14(8): e081129, 2024 Aug 24.
Article in En | MEDLINE | ID: mdl-39181549
ABSTRACT

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.
Subject(s)
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: HIV Infections Limits: Humans Language: En Journal: BMJ Open Year: 2024 Document type: Article Affiliation country: China Country of publication: United kingdom

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: HIV Infections Limits: Humans Language: En Journal: BMJ Open Year: 2024 Document type: Article Affiliation country: China Country of publication: United kingdom