Evidence map›Paper›PMID 30839859›Full record

ArticleInfectious Disease Modelling2018

Treatment for HIV prevention study in southwestern areas of China.

Huanhuan Chen, Xiaoyi Yang, Qiuying Zhu, Xinghua Wu, Li Chen, Huaxiang Lu, Liuhong Luo, Guanghua Lan, Xianming Ge, Zhenzhu Tang and 6 more

Open access · goldAbstract read
In one paragraph

Article in Infectious Disease Modelling, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 33% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. The Enigma of the Human Immunodeficiency Virus (HIV) Epidemic in China.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2021
    Article
  4. Article
  5. Review
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

16 authors at 4 institutions in 1 country.

Huanhuan ChenGuangxi Zhuang Autonomous Region Center for Disease Control and Prevention, Nanning, Guangxi, China.
Xiaoyi YangThe Guangxi Zhuang Autonomous Region Maternal and Child Health Hospital, Nanning, China.
Qiuying ZhuGuangxi Zhuang Autonomous Region Center for Disease Control and Prevention, Nanning, Guangxi, China.
Xinghua WuThe Guangxi Zhuang Autonomous Region Maternal and Child Health Hospital, Nanning, China.
Li ChenGuangxi Zhuang Autonomous Region Center for Disease Control and Prevention, Nanning, Guangxi, China.
Huaxiang LuGuangxi Zhuang Autonomous Region Center for Disease Control and Prevention, Nanning, Guangxi, China.
Liuhong LuoGuangxi Zhuang Autonomous Region Center for Disease Control and Prevention, Nanning, Guangxi, China.
Guanghua LanGuangxi Zhuang Autonomous Region Center for Disease Control and Prevention, Nanning, Guangxi, China.
Xianming GeGuangxi Zhuang Autonomous Region Center for Disease Control and Prevention, Nanning, Guangxi, China.
Zhenzhu TangGuangxi Zhuang Autonomous Region Center for Disease Control and Prevention, Nanning, Guangxi, China.
Zhiyong ShenGuangxi Zhuang Autonomous Region Center for Disease Control and Prevention, Nanning, Guangxi, China.
Stephen W PanDepartment of Public Health, Xi'an Jiaotong Liverpool University, Suzhou, China.
Hui XingGuangxi Zhuang Autonomous Region Center for Disease Control and Prevention, Nanning, Guangxi, China.
Yuhua RuanGuangxi Zhuang Autonomous Region Center for Disease Control and Prevention, Nanning, Guangxi, China.
Yiming ShaoGuangxi Zhuang Autonomous Region Center for Disease Control and Prevention, Nanning, Guangxi, China.
Wenmin YangGuangxi Zhuang Autonomous Region Center for Disease Control and Prevention, Nanning, Guangxi, China.
Guangxi Center for Disease Prevention and Control · CNGuangxi Maternal and Child Health Hospital · CNChinese Center For Disease Control and Prevention · CNXi’an Jiaotong-Liverpool University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChina has ambitious to achieve significant reductions in HIV transmission and HIV-related mortality by adopting the World Health Organization's "Treat All" approach. Such a prevention strategy is needed future study on regional scale.

methodsAn observational cohort study of HIV epidemiology and treatment databases was used to study the effectiveness of antiretroviral therapy on the transmission of HIV in serodiscordant couples in Guangxi of China.

resultsA total of 7713 couples were entered into the cohort study analysis which included 1885 couples in the treatment-naive cohort and 5828 couples in the treated cohort. During the follow-up of 18985.29 person-years from 2003 to 2014, the average incidence of HIV was 2.4 per 100 person-years (95% CI 2.1-2.6). HIV seroincidence rate was significantly higher among the treatment naive group (4.2 per 100 person-years, 3.7-4.8) compared with the on treatment group (1.6 per 100 person-years, 1.3-1.8). An overall 45% reduction in risk of HIV transmission among serodiscordant couple was associated with ART treatment (adjusted Hazard Ratio [HR] 0.55, 95% Confidence Interval [CI] 0.44-0.69). Treatment prevention had significantly effectiveness for most baseline characteristics of index partners, such as for male, female, age above 25 years, education below high school, farmer, infected by heterosexual intercourse.

conclusionTreatment-

Indexed as

AIDS, acquired immune deficiency syndromeARTART, antiretroviral therapyCDC, center for disease control and preventionCI, confidence intervalCohort studyHIVHIV, human immunodeficiency virusHR, hazard ratioIDUs, injection drug usersMSM, men who have sex with menSero-discordant couplesTransmission

Identifiers

PMID30839859
PMCPMC6326233
OpenAlexW2895355777

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.