Evidence map›Paper›PMID 38401895›Full record

ArticleBMJ open2024

Diagnostic performance evaluation of urine HIV-1 antibody rapid test kits in a real-life routine care setting in China.

Huaxiang Lu, Huanhuan Chen, Shujia Liang, Qiuying Zhu, Guangjie Tan, Xianwu Pang, Yuhua Ruan, Jianjun Li, Xianmin Ge, Yunxian Huang and 5 more

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 32% 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

3 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
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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

15 authors at 5 institutions in 1 country.

Huaxiang Lu *Guangxi Zhuang Autonomous Region Center for Disease Control and Prevention, Nanning, Guangxi Zhuang Autonomous Region, China.ORCID 0000-0002-0031-3299
Huanhuan Chen *Guangxi Zhuang Autonomous Region Center for Disease Control and Prevention, Nanning, Guangxi Zhuang Autonomous Region, China.
Shujia Liang *Guangxi Zhuang Autonomous Region Center for Disease Control and Prevention, Nanning, Guangxi Zhuang Autonomous Region, China.
Qiuying ZhuGuangxi Zhuang Autonomous Region Center for Disease Control and Prevention, Nanning, Guangxi Zhuang Autonomous Region, China.
Guangjie TanGuangxi Zhuang Autonomous Region Center for Disease Control and Prevention, Nanning, Guangxi Zhuang Autonomous Region, China.
Xianwu PangGuangxi Zhuang Autonomous Region Center for Disease Control and Prevention, Nanning, Guangxi Zhuang Autonomous Region, China.
Yuhua RuanState Key Laboratory for Infectious Disease Prevention and Control, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Beijing, China.
Jianjun LiGuangxi Zhuang Autonomous Region Center for Disease Control and Prevention, Nanning, China.
Xianmin GeGuangxi Zhuang Autonomous Region Center for Disease Control and Prevention, Nanning, China.
Yunxian HuangGuigang Center for Disease Control and Prevention, Guigang, China.
Zhenqiang ChenLuzhai County Center for Disease Control and Prevention, Liuzhou, China.
Shizhen ZhangBinyang County Center for Diseases Control and Prevention, Nanning, China.
Wenlong CaiGuangxi Zhuang Autonomous Region Center for Disease Control and Prevention, Nanning, Guangxi Zhuang Autonomous Region, China.
Guanghua LanGuangxi Zhuang Autonomous Region Center for Disease Control and Prevention, Nanning, Guangxi Zhuang Autonomous Region, China gxlinmei@126.com lgh605@163.com.
Mei LinGuangxi Zhuang Autonomous Region Center for Disease Control and Prevention, Nanning, China gxlinmei@126.com lgh605@163.com.
Guangxi Center for Disease Prevention and Control · CNGuangxi Medical University · CNGuangxi Zhuang Autonomous Region Health and Family Planning · CNGuigang City People's Hospital · CNLiu Zhou Center for Disease Prevention and Control · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo evaluate the diagnostic performance of urine HIV antibody rapid test kits in screening diverse populations and to analyse subjects' willingness regarding reagent types, purchase channels, acceptable prices, and self-testing. DESIGNS: Diagnostic accuracy studies

participantsA total of 2606 valid and eligible samples were collected in the study, including 202 samples from female sex workers (FSWs), 304 persons with injection drug use (IDU), 1000 pregnant women (PW), 100 subjects undergoing voluntary HIV counselling and testing (VCT) and 1000 students in higher education schools or colleges (STUs). Subjects should simultaneously meet the following inclusion criteria: (1) being at least 18 years old and in full civil capacity, (2) signing an informed consent form and (3) providing truthful identifying information to ensure that the subjects and their samples are unique.

resultsThe sensitivity, specificity and area under the curve (AUC) of the urine HIV-1 antibody rapid test kits were 92.16%, 99.92% and 0.960 (95% CI: 0.952 to 0.968, p<0.001), respectively, among 2606 samples collected during on-site screenings. The kits showed good diagnostic performance in persons with IDU (

conclusionsThe rapid urine test kits showed good diagnostic validity in practical applications, despite a few cases involving misdiagnosis and underdiagnosis.

Indexed as

HIV-1HIV InfectionsSex WorkersAdolescentFemaleHIV AntibodiesHumansPregnancyReagent Kits, DiagnosticHIV AntibodiesReagent Kits, DiagnosticHIV & AIDSpublic healthsensitivity and specificity

Identifiers

PMID38401895
PMCPMC10895231
OpenAlexW4392131443

What OpenQuestion holds

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LicenceCC BY-NC
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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.