Evidence map›Paper›PMID 28220792›Full record

ArticleScientific reports2017

Immunologic treatment failure among HIV-infected adult patients in Jiangsu province, China.

Tao Qiu, Ping Ding, Gengfeng Fu, Xiping Huan, Xiaoqin Xu, Zhi Zhang, Xiaoyan Liu, Haitao Yang, Jeff Mandel, Chongyi Wei and 2 more

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Tao QiuInstitute of HIV/AIDS/STI Prevention and Control, Jiangsu Provincial Center for Diseases Control and Prevention, Nanjing, 210009, China.
Ping DingInstitute of HIV/AIDS/STI Prevention and Control, Jiangsu Provincial Center for Diseases Control and Prevention, Nanjing, 210009, China.
Gengfeng FuInstitute of HIV/AIDS/STI Prevention and Control, Jiangsu Provincial Center for Diseases Control and Prevention, Nanjing, 210009, China.
Xiping HuanInstitute of HIV/AIDS/STI Prevention and Control, Jiangsu Provincial Center for Diseases Control and Prevention, Nanjing, 210009, China.
Xiaoqin XuInstitute of HIV/AIDS/STI Prevention and Control, Jiangsu Provincial Center for Diseases Control and Prevention, Nanjing, 210009, China.
Zhi ZhangInstitute of HIV/AIDS/STI Prevention and Control, Jiangsu Provincial Center for Diseases Control and Prevention, Nanjing, 210009, China.
Xiaoyan LiuInstitute of HIV/AIDS/STI Prevention and Control, Jiangsu Provincial Center for Diseases Control and Prevention, Nanjing, 210009, China.
Haitao YangJiangsu Institute of Parasite Diseases, Wuxi, China.
Jeff MandelGlobal Health Sciences, University of California, San Francisco, California, USA.
Chongyi WeiGlobal Health Sciences, University of California, San Francisco, California, USA.
Willi McFarlandGlobal Health Sciences, University of California, San Francisco, California, USA.
Hongjing YanInstitute of HIV/AIDS/STI Prevention and Control, Jiangsu Provincial Center for Diseases Control and Prevention, Nanjing, 210009, China.

Funding

Ujima Mentoring ProgramP30MH062246 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Sheri Ann Lippman · 2001 to 2026
$57.4M
Int'l Traineeships in AIDS Prevention Studies (ITAPS)R25MH064712 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LINDAN, CHRISTINA P · 2002 to 2018
$3.4M
NIMH NIH HHS P30 MH062246NIMH NIH HHS R25 MH064712
6 · The paper itself

Abstract

The National Free Antiretroviral Treatment Program was implemented in Jiangsu Province, China in 2005. We conducted a retrospective, open cohort study to determine treatment failure rates and associated risk factors. Data were obtained from the national web-based antiretroviral treatment database. WHO criteria were used to define immunologic treatment failure. Kaplan-Meier methods were used to determine treatment failure rates and Cox proportional hazards modeling was used to identify risk factors. A total of 5,083 (87.8%) having at least one CD4 cell count measure were included from 2005 to 2013. Overall, 30.4% had immunologic treatment failure with cumulative treatment failure rates increasing to 50.5% at month 60 and 64.1% at month 90. Factors predicting treatment failure included being treated in the Centers for Disease Control and Prevention system (HR 1.69, 95% CI 1.14-2.50, p = 0.009) or jail hospital (HR 1.20, 95% CI 1.08-1.34, p = 0.001), and having a baseline CD4 count >350 cells/uL (HR 2.37, 95% CI 1.94-2.89. p < 0.001). Immunologic treatment failure was moderate to substantial among treated HIV patients. Providing second-line regimens and shifting treatment providers to professional hospitals should be considered to consolidate gains in averting morbidity and mortality.

Indexed as

Antiretroviral Therapy, Highly ActiveAdolescentAdultAgedCD4 Lymphocyte CountChinaFemaleHIV-1HIV InfectionsHumansMaleMiddle AgedRisk FactorsTime FactorsTreatment FailureViral Load

Identifiers

PMID28220792
PMCPMC5318988

What OpenQuestion holds

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LicenceCC BY
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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.