Evidence map›Paper›PMID 42189797›Full record

ArticleJMIR research protocols2026

Prediction Models for Frailty in People Living With HIV: Protocol for a Systematic Review and Meta-Analysis of Prognostic Models.

Yeye Hu, Meilian Xie, Zhiyun Zhang

Abstract read
In one paragraph

Article in JMIR research protocols, 2026. 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
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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

3 authors.

Yeye Hu *Nursing Management Department, Beijing Ditan Hospital, Capital Medical University, No.8, Jingshun East Street, Chaoyang District, Beijing, 100015, China, 86 13693581102.ORCID 0009-0007-1214-2240
Meilian Xie *Nursing Management Department, Beijing Ditan Hospital, Capital Medical University, No.8, Jingshun East Street, Chaoyang District, Beijing, 100015, China, 86 13693581102.ORCID 0000-0002-1531-7698
Zhiyun Zhang *Nursing Management Department, Beijing Ditan Hospital, Capital Medical University, No.8, Jingshun East Street, Chaoyang District, Beijing, 100015, China, 86 13693581102.ORCID 0009-0002-8982-4550

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: With the advent of antiretroviral therapy, the life expectancy of people living with HIV has increased significantly, leading to a growing prevalence of frailty and its associated adverse outcomes. However, frailty prediction models developed for the general older population may not apply to people living with HIV due to their distinct immunologic, inflammatory, and comorbidity profiles. To the best of our knowledge, no systematic review to date has comprehensively evaluated frailty prediction models specifically developed for people living with HIV. Objective: This systematic review aims to identify and critically appraise existing prediction models for frailty in people living with HIV, critically appraise their methodological quality, and summarize their predictive performance. Methods: Research will be located by searching electronic databases, including PubMed, Web of Science, and other major databases. Two independent reviewers will conduct the screening of titles and abstracts, evaluate full texts, and extract data. The extraction process will adhere to the Checklist for Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modeling Studies (CHARMS) and the Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis Or Diagnosis (TRIPOD) statement. A systematic evaluation of the included studies will be performed to assess their risk of bias and applicability, using the Prediction model Risk Of Bias Assessment Tool (PROBAST). If appropriate, meta-analyses will be used to synthesize quantitative data related to the predictive performance of these models. Results: This protocol was registered with PROSPERO (CRD420261332573) in June 2025. The systematic literature search was conducted on July 20, 2025, with screening completed in October 2025, identifying five eligible studies; data analysis is scheduled for April 2026, with manuscript submission expected by June 2026. Conclusions: This systematic review will provide the first comprehensive synthesis of frailty prediction models for people living with HIV. By identifying robust models and methodological gaps, the findings are expected to inform clinical decision-making and guide future model development and validation efforts in HIV care.

Indexed as

FrailtyHIV InfectionsHumansMeta-Analysis as TopicPrediction AlgorithmsPrognosisResearch DesignSystematic Reviews as TopicCHARMSfrailtyHIVmeta-analysisprediction modelPROBASTsystematic review

Identifiers

PMID42189797
PMCPMC13208427

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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.