Evidence map›Paper›PMID 24687006›Full record

ArticlePloS one2014

HIV-, HCV-, and co-infections and associated risk factors among drug users in southwestern China: a township-level ecological study incorporating spatial regression.

Yi-Biao Zhou, Qi-Xing Wang, Song Liang, Yu-Han Gong, Mei-xia Yang, Shi-Jiao Nie, Lei Nan, Ai-Hui Yang, Qiang Liao, Yang Yang and 2 more

Abstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–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

9 citing papers in PubMed.

  1. Article
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  5. Prevalence and Determinants ofThe American journal of tropical medicine and hygiene · 2017
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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

12 authors.

Yi-Biao ZhouDepartment of Epidemiology, School of Public Health, Fudan University, Shanghai, China; Key Laboratory of Public Health Safety, Ministry of Education, Fudan University, Shanghai, China; Tropical Disease Research Center, Fudan University, Shanghai, China.
Qi-Xing WangCenter for Disease Prevention and Control of Liangshan Prefecture, Sichuan, China.
Song LiangDepartment of Environmental and Global Health, College of Public Health and Health Professions, University of Florida, Gainesville, Florida, United States of America; Emerging Pathogens Institute, University of Florida, Gainesville, Florida, United States of America.
Yu-Han GongCenter for Disease Prevention and Control of Liangshan Prefecture, Sichuan, China.
Mei-xia YangXuhui Center for Disease Prevention and Control, Shanghai, China.
Shi-Jiao NieDepartment of Epidemiology, School of Public Health, Fudan University, Shanghai, China; Key Laboratory of Public Health Safety, Ministry of Education, Fudan University, Shanghai, China; Tropical Disease Research Center, Fudan University, Shanghai, China.
Lei NanCenter for Disease Prevention and Control of Liangshan Prefecture, Sichuan, China.
Ai-Hui YangDepartment of Epidemiology, School of Public Health, Fudan University, Shanghai, China; Key Laboratory of Public Health Safety, Ministry of Education, Fudan University, Shanghai, China; Tropical Disease Research Center, Fudan University, Shanghai, China.
Qiang LiaoCenter for Disease Prevention and Control of Liangshan Prefecture, Sichuan, China.
Yang YangDepartment of Environmental and Global Health, College of Public Health and Health Professions, University of Florida, Gainesville, Florida, United States of America; Department of Biostatistics, University of Florida, Gainesville, Florida, United States of America.
Xiu-Xia SongDepartment of Epidemiology, School of Public Health, Fudan University, Shanghai, China; Key Laboratory of Public Health Safety, Ministry of Education, Fudan University, Shanghai, China; Tropical Disease Research Center, Fudan University, Shanghai, China.
Qing-Wu JiangDepartment of Epidemiology, School of Public Health, Fudan University, Shanghai, China; Key Laboratory of Public Health Safety, Ministry of Education, Fudan University, Shanghai, China; Tropical Disease Research Center, Fudan University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe human immunodeficiency virus (HIV) and hepatitis C virus (HCV) are major public health problems. Many studies have been performed to investigate the association between demographic and behavioral factors and HIV or HCV infection. However, some of the results of these studies have been in conflict. METHODOLOGY/PRINCIPAL

findingsThe data of all entrants in the 11 national methadone clinics in the Yi Autonomous Prefecture from March 2004 to December 2012 were collected from the national database. Several spatial regression models were used to analyze specific community characteristics associated with the prevalence of HIV and HCV infection at the township level. The study enrolled 6,417 adult patients. The prevalence of HIV infection, HCV infection and co-infection was 25.4%, 30.9%, and 11.0%, respectively. Prevalence exhibited stark geographical variations in the area studied. The four regression models showed Yi ethnicity to be associated with both the prevalence of HIV and of HIV/HCV co-infection. The male drug users in some northwestern counties had greater odds of being infected with HIV than female drug users, but the opposite was observed in some eastern counties. The 'being in drug rehabilitation variable was found to be positively associated with prevalence of HCV infection in some southern townships, however, it was found to be negatively associated with it in some northern townships. CONCLUSIONS/SIGNIFICANCE: The spatial modeling creates better representations of data such that public health interventions must focus on areas with high frequency of HIV/HCV to prevent further transmission of both HIV and HCV.

Indexed as

AdultChinaCoinfectionDrug UsersFemaleHepacivirusHepatitis CHIVHIV InfectionsHumansMaleMiddle AgedPrevalenceRisk FactorsSubstance Abuse, IntravenousSubstance-Related Disorders

Identifiers

PMID24687006
PMCPMC3970964

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Registered trials

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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.