Evidence map›Paper›PMID 24901790›Full record

ArticlePloS one2014

Baseline CD4 cell counts of newly diagnosed HIV cases in China: 2006-2012.

Houlin Tang, Yurong Mao, Cynthia X Shi, Jing Han, Liyan Wang, Juan Xu, Qianqian Qin, Roger Detels, Zunyou Wu

Abstract readHistorical Article
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 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

  1. Trial
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  7. HIV Detection and Delayed Diagnosis: A Time Series Analysis in China.International journal of environmental research and public health · 2022
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  13. Review
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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.

Houlin TangDivision of Integration and Evaluation, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Yurong MaoDivision of Integration and Evaluation, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Cynthia X ShiDivision of Integration and Evaluation, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China; Department of Epidemiology, School of Public Health, Harvard University, Boston, Massachusetts, United States of America.
Jing HanDivision of Integration and Evaluation, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Liyan WangDivision of Epidemiology, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Juan XuDivision of Integration and Evaluation, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Qianqian QinDivision of Epidemiology, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Roger DetelsDepartment of Epidemiology, School of Public Health, University of California at Los Angeles, California, United States of America.
Zunyou WuDivision of Integration and Evaluation, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.

Funding

UCLA Clinical and Translational Science InstituteUL1TR000124 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DUBINETT, STEVEN M. · 2012 to 2015
$57.0M
UCLA Rapid, Relevant, Rigorous Implementation Science HubP30MH058107 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI RAPHAEL J LANDOVITZ · 1997 to 2026
$53.5M
Virology CoreP30AI028697 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ANTON, PETER A · 1991 to 2018
$39.9M
Multidisciplinary HIV and TB Implementation Sciences Training in ChinaU2RTW006918 · FIC · NATIONAL CENTER FOR AIDS/STD CONTROL AND PREVENTION · PI WU, ZUNYOU · 2004 to 2013
$4.8M
FIC NIH HHS U2R TW006918NCATS NIH HHS UL1 TR000124NIAID NIH HHS P30 AI028697NIMH NIH HHS P30 MH058107PHS HHS U2RTW06918
6 · The paper itself

Abstract

backgroundLate diagnosis of HIV infection is common. We aim to assess the proportion of newly diagnosed HIV cases receiving timely baseline CD4 count testing and the associated factors in China.

methodsData were extracted from the Chinese HIV/AIDS Comprehensive Response Information Management System. Adult patients over 15 years old who had been newly diagnosed with HIV infection in China between 2006 and 2012 were identified. The study cohort comprised individuals who had a measured baseline CD4 count.

resultsAmong 388,496 newly identified HIV cases, the median baseline CD4 count was 294 cells/µl (IQR: 130-454), and over half (N = 130,442, 58.8%) were less than 350 cells/µl. The median baseline CD4 count increased from 221 (IQR: 63-410) in 2006 to 314 (IQR: 159-460) in 2012. A slight majority of patients (N = 221,980, 57.1%) received baseline CD4 count testing within 6 months of diagnosis. The proportion of individuals who received timely baseline CD4 count testing increased significantly from 20.0% in 2006 to 76.9% in 2012. Factors associated with failing to receiving timely CD4 count testing were: being male (OR: 1.17, 95% CI: 1.15-1.19), age 55 years or older (OR:1.03, 95% CI: 1.00-1.06), educational attainment of primary school education or below (OR: 1.30, 95% CI: 1.28-1.32), infection with HIV through injection drug use (OR: 2.07, 95% CI: 2.02-2.12) or sexual contact and injection drug use (OR: 1.87, 95% CI: 1.76-1.99), diagnosis in a hospital (OR: 1.91, 95% CI: 1.88-1.95) or in a detention center (OR: 1.75, 95% CI: 1.70-1.80), and employment as a migrant worker (OR:1.55, 95% CI:1.53-1.58).

conclusionThe proportion of newly identified HIV patients receiving timely baseline CD4 testing has increased significantly in China from 2006-2012. Continued effort is needed for further promotion of early HIV diagnosis and timely baseline CD4 cell count testing.

Indexed as

CD4 Lymphocyte CountAdolescentAdultChinaDatabases, FactualFemaleHistory, 21st CenturyHIV-1HIV InfectionsHumansMaleMiddle AgedOdds RatioPublic Health SurveillanceRisk FactorsYoung Adult

Identifiers

PMID24901790
PMCPMC4047021

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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.