Evidence map›Paper›PMID 35027093›Full record

ArticleEuropean journal of medical research2022

High prevalence of sexually transmitted infections and risk factors among HIV-positive individuals in Yunnan, China.

Wei Tu, Yu-Ye Li, Yi-Qun Kuang, Rong-Hui Xie, Xing-Qi Dong, Dan Zhang, Yan-Ling Ma, Wan-Yue Zhang, Lin Lu

Open access · goldAbstract read
In one paragraph

Article in European journal of medical research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 3 pooled it
1.7field-weighted citation impact, top 14% of its field
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

11 citing papers in PubMed, 3 syntheses or guidelines pooled it, 17 citations in OpenAlex.

  1. Pooled it
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  8. Exposure toVaccines · 2022
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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

9 authors at 3 institutions in 1 country.

Wei TuDepartment of Public Health, Kunming Medical University, Kunming, 650500, China.
Yu-Ye LiDepartment of Dermatology and Venereology, First Affiliated Hospital of Kunming Medical University, Kunming, 650032, China. yyeli2000@126.com.ORCID http://orcid.org/0000-0003-0676-985X
Yi-Qun KuangNHC Key Laboratory of Drug Addiction Medicine, First Affiliated Hospital of Kunming Medical University, Kunming Medical University, Kunming, 650032, China. yq610433@hotmail.com.
Rong-Hui XieYunnan Provincial Hospital of Infectious Diseases/Yunnan AIDS Care Center (YNACC), Anning, 650300, China.
Xing-Qi DongYunnan Provincial Hospital of Infectious Diseases/Yunnan AIDS Care Center (YNACC), Anning, 650300, China.
Dan ZhangDepartment of Dermatology and Venereology, First Affiliated Hospital of Kunming Medical University, Kunming, 650032, China.
Yan-Ling MaYunnan Centers for Disease Control and Prevention, Kunming, 650022, China.
Wan-Yue ZhangYunnan Centers for Disease Control and Prevention, Kunming, 650022, China.
Lin LuDepartment of Public Health, Kunming Medical University, Kunming, 650500, China. lulin@yncdc.cn.
Kunming Medical University · CNYunnan Center for Disease Control And Prevention · CNYunnan Provincial Infectious Disease Hospital · CN

Funding

National Natural Science Foundation of China 81860553Project of AIDS Bureau of Yunnan Province 32060177Ten-thousand Talents Program YNWR-MY-2018-039the Medical Leadership Foundation of Health and Family Planning Commission of Yunnan Province L-201613Yunnan Province Clinical Center for Skin Immune Diseases ZX2019-03-02Yunnan Province Clinical Research Center for Skin Immune Diseases 2019ZF012
6 · The paper itself

Abstract

backgroundYunnan has the highest rates of HIV in China. Other treatable sexually transmitted infections (STIs) are associated with accelerated HIV transmission and poor ART outcomes, but are only diagnosed by syndromic algorithms.

methodsWe recruited 406 HIV-positive participants for a cross-sectional study (204 ART-naive and 202 receiving ART). Blood samples and first-voided urine samples were collected. Real-time polymerase chain reaction methods were used for diagnosing Chlamydia trachomatis (CT), Neisseria gonorrhea (NG) and Mycoplasma genitalium (MG). Syphilis and herpes simplex virus type 2 (HSV-2) tests were also performed.

resultsAmong the 406 participants, the overall prevalence of STIs was 47.0% and 45.1% in ART-naive individuals and 49.0% in individuals receiving ART, respectively. The testing frequencies were 11.6% (11.8% vs. 11.4%), 33.2% (29.4% vs. 37.1%), 3.2% (3.4% vs. 3.0%), 2.0% (3.4% vs. 0.5%) and 4.7% (6.4% vs. 3.0%) for active syphilis, HSV-2, CT, NG and MG, respectively. The percentage of multiple infections in both groups was 10.8% (22/204) in ART-naive participants and 9.9% (20/202) in participants receiving ART. Female sex, an age between 18 and 35 years, ever injecting drugs, homosexual or bisexual status, HIV/HBV coinfection, and not receiving ART were identified as risk factors. Self-reported asymptomatic patients were not eliminated from having a laboratory-diagnosed STI.

conclusionsThe STI prevalence was 47.0% (45.1% vs. 49.0%), and HSV-2, syphilis and MG were the most common STIs in HIV-infected individuals. We found a high prevalence (6.4%) of MG in ART-naive individuals. HIV-positive individuals tend to neglect or hide their genital tract discomfort; thus, we suggest strengthening STI joint screening and treatment services among HIV-infected individuals regardless of whether they describe genital tract discomfort.

Indexed as

AdolescentAdultAgedAged, 80 and overChinaCross-Sectional StudiesFemaleFollow-Up StudiesHIV InfectionsHumansMaleMass ScreeningMiddle AgedPrevalenceRetrospective StudiesRisk AssessmentCTHIVHSV-2MGNGRisk factorSyphilis

Identifiers

PMID35027093
PMCPMC8756631
OpenAlexW4220659096

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.