Evidence map›Paper›PMID 42021248›Full record

ArticleBMC public health2026

Evolution of death trends and influencing factors of people living with HIV from 2003 to 2025 in Huangshi, China.

Biao Fu, Zixuan Yang, Xuening Wang, Hongru Chen, Jumin Xie, Luman Li

Abstract read
In one paragraph

Article in BMC public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited 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

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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

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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

6 authors.

Biao Fu *Huangshi Central Hospital, Huangshi Public Health Medical Treatment Center, Affiliated Hospital of Hubei Polytechnic University, Huangshi, Hubei, 435000, P. R. China.
Zixuan Yang *Hubei Key Laboratory of Renal Disease Occurrence and Intervention, Medical School, Hubei Polytechnic University, Guilin north road, No 16, Huangshi, Hubei, 435003, P. R. China.
Xuening Wang *Hubei Key Laboratory of Renal Disease Occurrence and Intervention, Medical School, Hubei Polytechnic University, Guilin north road, No 16, Huangshi, Hubei, 435003, P. R. China.
Hongru ChenHubei Key Laboratory of Renal Disease Occurrence and Intervention, Medical School, Hubei Polytechnic University, Guilin north road, No 16, Huangshi, Hubei, 435003, P. R. China.
Jumin XieHubei Key Laboratory of Renal Disease Occurrence and Intervention, Medical School, Hubei Polytechnic University, Guilin north road, No 16, Huangshi, Hubei, 435003, P. R. China. xiejm922@163.com.ORCID 0000-0002-4493-4548
Luman LiDepartment of Obstetrics, Zhongnan Hospital of Wuhan University, Donghu Road No 169, Wuchang District, Wuhan, Hubei, 430071, P. R. China. lumanli@whu.edu.cn.

Funding

Key Project in the Scientific Research Plan of the Hubei Province Education Department D20234505Open Fund Project of Hubei Key Laboratory for Kidney Disease Pathogenesis and Intervention 2024SJ104Open fund research project of Huangshi Key Laboratory of Molecular Diagnosis and Individualized Therapy FZ2024005
6 · The paper itself

Abstract

backgroundThis study aimed to analyze mortality trends, causes of death, and key prognostic factors among people living with HIV (PLWH) receiving antiretroviral therapy (ART) in Huangshi, Hubei Province, from 2003 to 2025, to inform the optimization of clinical management and public health policy.

methodsA retrospective cohort analysis was conducted, collecting demographic characteristics, WHO clinical stage, CD4 counts, initial ART Regimen, and follow-up information. The primary outcome was all-cause mortality. First, a univariable Cox regression analysis was performed. The proportional hazards assumption was then tested using the Schoenfeld residual test. If time dependency was detected, a time-stratified Cox model was constructed. Kaplan-Meier (KM) survival curves were used for visual presentation of survival patterns across different groups. RESULTS​: After screening, 2,494 ART-treated PLWH were included, of whom 671 died. Mortality peaked in 2017 and 2022, followed by a subsequent decline. The leading causes of death were opportunistic infections and cardiovascular diseases. Univariate analysis indicated that age, sex, marital status, transmission route, presence of AIDS-related symptoms, WHO clinical stage, CD4 count, and initial ART regimen were associated with mortality risk. In the time-stratified Cox model, age, transmission route, AIDS-related symptoms, baseline CD4 count, recent CD4 count, and initial ART regimen were significantly associated with mortality risk (P < 0.05). KM survival curves demonstrated lower survival rates among older individuals, those infected via heterosexual transmission, patients with clinical symptoms, those with low CD4 levels, and NVP-based regimen groups.

conclusionIn the ART era, mortality among PLWH is influenced by multiple factors. Opportunistic infections remain the primary cause of death, while the rise in cardiovascular disease reflects the evolving chronic disease profile of HIV. Enhancing early diagnosis, immune monitoring, and opportunistic infection prevention, and integrating chronic disease management are pivotal for improving survival and quality of life.

Indexed as

HIV InfectionsAdultAnti-Retroviral AgentsCause of DeathCD4 Lymphocyte CountChinaFemaleHumansMaleMiddle AgedMortalityRetrospective StudiesRisk FactorsAnti-Retroviral AgentsARTCause of deathCox regression analysisPLWHSurvival analysis

Identifiers

PMID42021248
PMCPMC13235061

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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.