Evidence map›Paper›PMID 39181549›Full record

ArticleBMJ open2024

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

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

Abstract read
In one paragraph

Article in BMJ open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Xinsheng WuSchool of Public Health, Fudan University, Shanghai, China.
Yuanyi ChenShenzhen Campus of Sun Yat-sen University, Shenzhen, China.
Zhen LuShenzhen Campus of Sun Yat-sen University, Shenzhen, China.
Junfeng WangJulius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands.
Huachun ZouSchool of Public Health, Fudan University, Shanghai, China zouhuachun@fudan.edu.cn.ORCID 0000-0002-8161-7576

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDespite 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.

Indexed as

HIV InfectionsAnti-HIV AgentsHumansMeta-Analysis as TopicPrognosisResearch DesignSystematic Reviews as TopicAnti-HIV AgentsEPIDEMIOLOGYHIV & AIDSTHERAPEUTICS

Identifiers

PMID39181549
PMCPMC11344525

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.