Evidence map›Paper›PMID 36120904›Full record

ArticleAIDS care2023

Changes in HIV care continuum indicators among community-based samples of HIV-infected people who inject drugs and men who have sex with men across 21 cities in India.

Neia S Prata Menezes, Sunil S Solomon, Allison M McFall, Aylur K Srikrishnan, Canjeevaram K Vasudevan, M Suresh Kumar, David D Celentano, Shruti H Mehta, Gregory M Lucas

Abstract read
In one paragraph

Article in AIDS care, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Trial
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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.

Neia S Prata MenezesDepartment of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA.ORCID 0000-0001-9597-7348
Sunil S SolomonDepartment of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Allison M McFallDepartment of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA.ORCID 0000-0002-1157-2931
Aylur K SrikrishnanY.R. Gaitonde Centre for AIDS Research and Education, Chennai, India.
Canjeevaram K VasudevanY.R. Gaitonde Centre for AIDS Research and Education, Chennai, India.
M Suresh KumarY.R. Gaitonde Centre for AIDS Research and Education, Chennai, India.
David D CelentanoDepartment of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA.
Shruti H MehtaDepartment of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA.ORCID 0000-0002-2523-0959
Gregory M LucasDepartment of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.ORCID 0000-0002-3013-4339

Funding

Vaccine Response and Immunotherapeutics SWGP30AI094189 · NIAID · JOHNS HOPKINS UNIVERSITY · PI Richard E. Chaisson · 2012 to 2026
$67.0M
TRAINEESHIPS IN AIDS PREVENTION STUDIEST32MH019105 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Carol Suzanne Camlin, Glenn-Milo Santos · 1989 to 2026
$15.3M
Strategies to improve the HIV care continuum among key populations in IndiaR01DA041034 · NIDA · JOHNS HOPKINS UNIVERSITY · PI LUCAS, GREGORY M, MEHTA, SHRUTI H · 2015 to 2021
$6.7M
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
Investigating the Potential of Respondent-Driven Sampling to Reach Undiagnosed, Out-of-Care HIV-infected People Who Inject DrugsF31DA044046 · NIDA · JOHNS HOPKINS UNIVERSITY · PI MCFALL, ALLISON MARIE · 2017 to 2018
$78k
NIAID NIH HHS P30 AI094189NIAID NIH HHS T32 AI102623NIDA NIH HHS F31 DA044046NIDA NIH HHS K24 DA035684NIDA NIH HHS R01 DA032059NIDA NIH HHS R01 DA041034NIMH NIH HHS R01 MH089266NIMH NIH HHS T32 MH019105
6 · The paper itself

Abstract

Monitoring key populations' progress towards UNAIDS 90-90-90 targets is essential to achieving HIV/AIDS epidemic control. Using serial cross-sectional data, we evaluated changes in HIV care continuum among people who inject drugs(PWID) and men who have sex with men(MSM) in India. Cross-sectional baseline (2012/2013) and follow-up (2016/2017) samples were recruited using respondent-driven sampling across 21 cities. All participants were tested for HIV and RNA measured in HIV-positive participants. Linear regression was used to model temporal site-level changes in continuum indicators in MSM versus PWID. At baseline, we recruited 2,544 HIV-infected PWID and 1,086 HIV-infected MSM. At follow-up, we recruited 2,517 HIV-infected PWID and 1,763 HIV-infected MSM. At baseline, there were no significant differences in continuum indicators between MSM and PWID. At follow-up, compared to PWID, the proportion of MSM reaching each care continuum indicator-awareness of status, receipt of care, ART use, viral suppression-increased by 15-33 percentage points: 78% of MSM versus 49% of PWID were aware of their status (

Indexed as

Drug UsersHIV InfectionsSexual and Gender MinoritiesSubstance Abuse, IntravenousCitiesContinuity of Patient CareCross-Sectional StudiesHomosexuality, MaleHumansIndiaMalePrevalenceharm reductionHIV incidenceHIV prevalenceIndiaInjection drug useneedle and syringe exchange

Identifiers

PMID36120904
PMCPMC10020120

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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.