Evidence map›Paper›PMID 39109260›Full record

ArticleTransgender health2024

Trends in HIV Prevalence, Sexual Behavior, and Pre-Exposure Prophylaxis Willingness Among Transgender Women: An Analysis of Three Cross-Sectional Studies Conducted Mainly in Shenyang, China, 2014-2019.

Hui Chen, Yingjie Chen, Shangbin Liu, Xiaoyue Yu, Huwen Wang, Ruijie Chang, Rongxi Wang, Yujie Liu, Chen Xu, Ying Wang and 1 more

Abstract read
In one paragraph

Article in Transgender health, 2024. 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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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

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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

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No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

11 authors.

Hui ChenSchool of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yingjie ChenSchool of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Shangbin LiuSchool of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Xiaoyue YuSchool of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Huwen WangSchool of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Ruijie ChangSchool of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Rongxi WangSchool of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yujie LiuSchool of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Chen XuSchool of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Ying WangSchool of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yong CaiSchool of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Although transgender women (TGW) bear the highest HIV burden worldwide, routine surveillance of this group is rare. We aimed to evaluate the trends in health characteristics of Chinese TGW. Methods: Three cross-sectional studies using snowball sampling were conducted in 2014, 2017, and 2019, primarily in Shenyang, China. A questionnaire and voluntary HIV testing were used to obtain information on background characteristics, sexual behaviors, pre-exposure prophylaxis (PrEP) willingness, and HIV status. Results: There were 220 respondents in 2014, 198 in 2017, and 247 in 2019 (average age 31.1±7.6 to 33.5±9.6 years). HIV prevalence significantly decreased from 29.5% (95% confidence interval [CI]: 25.3-38.4%) in 2014 to 19.4% (95% CI: 14.7-24.9%) in 2019 ( Conclusion: HIV prevalence and associated risk factors remain substantial among Chinese TGW. There is an urgent need to strengthen HIV surveillance in this population, and develop trans-friendly and effective interventions to minimize HIV prevalence and transmission.

Indexed as

ChinaHIVpre-exposure prophylaxisPublic Health Surveillancesexual behaviortransgender women

Identifiers

PMID39109260
PMCPMC11299101

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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.