Evidence map›Paper›PMID 27054274›Full record

ArticleAIDS care2016

Getting to 90: linkage to HIV care among men who have sex with men and people who inject drugs in India.

Allison M McFall, Shruti H Mehta, Aylur K Srikrishnan, Gregory M Lucas, Canjeevaram K Vasudevan, David D Celentano, Muniratnam S Kumar, Suniti Solomon, Sunil S Solomon

Abstract read
In one paragraph

Article in AIDS care, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
–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

13 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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.

Allison M McFalla Department of Epidemiology , Johns Hopkins Bloomberg School of Public Health , Baltimore , MD , USA.
Shruti H Mehtaa Department of Epidemiology , Johns Hopkins Bloomberg School of Public Health , Baltimore , MD , USA.
Aylur K Srikrishnanb YR Gaitonde Centre for AIDS Research and Education , Chennai , India.
Gregory M Lucasc Department of Medicine , Johns Hopkins University School of Medicine , Baltimore , MD , USA.
Canjeevaram K Vasudevanb YR Gaitonde Centre for AIDS Research and Education , Chennai , India.
David D Celentanoa Department of Epidemiology , Johns Hopkins Bloomberg School of Public Health , Baltimore , MD , USA.
Muniratnam S Kumarb YR Gaitonde Centre for AIDS Research and Education , Chennai , India.
Suniti Solomona Department of Epidemiology , Johns Hopkins Bloomberg School of Public Health , Baltimore , MD , USA.
Sunil S Solomona Department of Epidemiology , Johns Hopkins Bloomberg School of Public Health , Baltimore , MD , USA.

Funding

Vaccine Response and Immunotherapeutics SWGP30AI094189 · NIAID · JOHNS HOPKINS UNIVERSITY · PI Bryan Lau · 2012 to 2026
$67.0M
Integrated Care Clinics for IDUs in India: a cluster randomized trialR01DA032059 · NIDA · JOHNS HOPKINS UNIVERSITY · PI LUCAS, GREGORY M, MEHTA, SHRUTI H · 2011 to 2015
$6.3M
Johns Hopkins HIV Epidemiology and Prevention Sciences Training ProgramT32AI102623 · NIAID · JOHNS HOPKINS UNIVERSITY · PI Shruti H Mehta · 2013 to 2026
$5.3M
Preventing HIV Infection Among MSM in Southern IndiaR01MH089266 · NIMH · JOHNS HOPKINS UNIVERSITY · PI CELENTANO, DAVID D. · 2010 to 2015
$2.9M
Treatment outcomes and comorbidity in HIV-infected IDUK24DA035684 · NIDA · JOHNS HOPKINS UNIVERSITY · PI LUCAS, GREGORY M · 2014 to 2024
$1.5M
NIAID NIH HHS P30 AI094189NIAID NIH HHS T32 AI102623NIDA NIH HHS K24 DA035684NIDA NIH HHS R01 DA032059NIMH NIH HHS R01 MH089266
6 · The paper itself

Abstract

UNAIDS set an ambitious target of "90-90-90" by 2020. The first 90 being 90% of those HIV-infected will be diagnosed; the second 90 being 90% of those diagnosed will be linked to medical care and on antiretroviral therapy (ART). While there has been dramatic improvement in HIV testing and ART use, substantial losses continue to occur at linkage-to-care following HIV diagnosis. Data on linkage among men who have sex with men (MSM) and people who inject drugs (PWID) are sparse, despite a greater burden of HIV in these populations. This cross-sectional study was conducted in 27 sites across India. Participants were recruited using respondent-driven sampling and had to be ≥18 years and self-identify as male and report sex with a man in the prior year (MSM) or injection drug use in the prior 2 years (PWID). Analyses were restricted to HIV-infected persons aware of their status. Linkage was defined as ever visiting a doctor for management of HIV after diagnosis. We explored factors that discriminated between those linked and not linked to care using multi-level logistic regression and area under the receiver operating curves (AUC), focusing on modifiable factors. Of 1726 HIV-infected persons aware of their status, 80% were linked to care. Modifiable factors around the time of diagnosis that best discriminated linkage included receiving assistance with HIV medical care (odds ratio [OR]: 10.0, 95% confidence interval [CI]): 5.6-18.2), disclosure of HIV-positive status (OR: 2.8; 95% CI: 2.4-6.1) and receiving information and counseling on management of HIV (OR: 2.3; 95% CI: 1.1-4.6). The AUC for these three factors together was 0.85, higher than other combinations of factors. We identified three simple modifiable factors around the time of diagnosis that could facilitate linkage to care among MSM and PWID in low- and middle-income countries to achieve UNAIDS targets.

Indexed as

Patient Acceptance of Health CareSubstance Abuse, IntravenousAdultCross-Sectional StudiesDirective CounselingFemaleHealth Knowledge, Attitudes, PracticeHIV InfectionsHomosexuality, MaleHumansIndiaMalePatient Education as TopicTruth DisclosureYoung AdultHIV care continuumIndialinkage to caremen who have sex with menMSMpeople who inject drugs

Identifiers

PMID27054274
PMCPMC4972663

What OpenQuestion holds

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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.