Evidence map›Paper›PMID 40457351›Full record

SynthesisBMC infectious diseases2025

The association between disclosure and antiretroviral therapy among adults living with HIV in China: a systematic review and meta-analysis.

Li-Ping Fei, He-He Zhao, Zhong-Nian Yang, Shi Wang, Hou-Lin Tang, Fang-Fang Chen, Fan Lv

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in BMC infectious diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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

7 authors.

Li-Ping FeiNational Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China.
He-He ZhaoNational Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China.
Zhong-Nian YangNational Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China.
Shi WangNational Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China.
Hou-Lin TangNational Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China.
Fang-Fang ChenNational Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China.
Fan LvNational Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China. fanlv@chinaaids.cn.

Funding

National Key Research and Development Project 2022YFC2305201Non-profit Central Research Institute Fund of Chinese Academy of Medical Sciences 2021-ZHCH330-001
6 · The paper itself

Abstract

backgroundAntiretroviral therapy (ART) and ART adherence are crucial for preventing HIV transmission and prolonging the lifespan of people living with HIV (PLWH). Serostatus disclosure is a significant factor influencing both ART initiation and ART adherence. However, studies evaluating the impact of disclosure on ART initiation and ART adherence in mainland China have yielded inconsistent findings. This systematic review and meta-analysis aim to examine the associations between disclosure and both ART initiation and adherence.

methodsWe systematically reviewed English databases (MEDLINE, Embase, Web of Science and the Cochrane Library) and Chinese databases (CNKI, WanFang, CQVIP, and SinoMed) to identify literature on factors that influence ART initiation and ART adherence from inception to Sep 24, 2024. Microsoft Excel 2019 sheet was used for data extraction. The data extraction sheet included information on the author's names, publication year of the study, study design, study population, sample size, definition of adherence to ART, and study quality score. The Joanna Briggs Institute (JBI) critical appraisal checklist for prevalence studies was employed to assess the quality of the selected articles. Data were analyzed using STATA 17.0, and a random effects model was utilized to calculate pooled odds ratios (ORs) and 95% confidence intervals (CIs). Sensitivity analyses were conducted through the sequential exclusion of studies. Publication bias was assessed using Begg's test and Egger's test.

resultsOur search yielded 517 results, of which 21 were eligible and included in the final meta-analysis. The analysis found that PLWH who disclosed their HIV serostatus were 2.59 times more likely to initiate ART compared to those who did not disclose (OR = 2.59, 95%CI: 1.92-3.49). However, we found no statistically significant association between HIV serostatus disclosure and ART adherence (OR = 1.21, 95%CI: 0.89-1.65). Additionally, no significant associations were identified between HIV serostatus disclosure and ART adherence in any subgroup analyses based on the subjects of disclosure, participants, or adjusted effect estimates for confounding factors.

conclusionsWe found evidence that serostatus disclosure is likely to positively associated with ART initiation, but not with ART adherence. Encouraging serostatus disclosure among PLWH, while simultaneously increasing public awareness about HIV and fostering a supportive environment for disclosure, may enhance ART adherence.

Indexed as

Anti-HIV AgentsAnti-Retroviral AgentsDisclosureHIV InfectionsMedication AdherenceAdultChinaFemaleHumansMaleAnti-HIV AgentsAnti-Retroviral AgentsAdherenceAntiretroviral therapyChinaDisclosureHIV/AIDSMeta-analysis

Identifiers

PMID40457351
PMCPMC12128364

What OpenQuestion holds

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Registered trials

None linked

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.