Evidence map›Paper›PMID 34331860›Full record

ArticleThe lancet. HIV2021

Temporal change in population-level prevalence of detectable HIV viraemia and its association with HIV incidence in key populations in India: a serial cross-sectional study.

Eshan U Patel, Sunil S Solomon, Gregory M Lucas, Allison M McFall, Aylur K Srikrishnan, Muniratnam S Kumar, Syed H Iqbal, Shanmugam Saravanan, Nandagopal Paneerselvam, Pachamuthu Balakrishnan and 3 more

Open access · greenAbstract read
In one paragraph

Article in The lancet. HIV, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 3 pooled it
3.2field-weighted citation impact, top 7% of its field
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

19 citing papers in PubMed, 3 syntheses or guidelines pooled it, 24 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors at 2 institutions in 2 countries.

Eshan U PatelDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Sunil S SolomonDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA; Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA. Electronic address: sss@jhmi.edu.
Gregory M LucasDepartment of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Allison M McFallDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Aylur K SrikrishnanYR Gaitonde Centre for AIDS Research and Education, Chennai, India.
Muniratnam S KumarYR Gaitonde Centre for AIDS Research and Education, Chennai, India.
Syed H IqbalYR Gaitonde Centre for AIDS Research and Education, Chennai, India.
Shanmugam SaravananYR Gaitonde Centre for AIDS Research and Education, Chennai, India.
Nandagopal PaneerselvamYR Gaitonde Centre for AIDS Research and Education, Chennai, India.
Pachamuthu BalakrishnanYR Gaitonde Centre for AIDS Research and Education, Chennai, India.
Oliver LaeyendeckerDepartment of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA.
David D CelentanoDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Shruti H MehtaDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
YR Gaitonde Centre for AIDS Research and Education · INJohns Hopkins University · US

Funding

Vaccine Response and Immunotherapeutics SWGP30AI094189 · NIAID · JOHNS HOPKINS UNIVERSITY · PI Richard E. Chaisson · 2012 to 2026
$67.0M
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
Laboratory and Statistical Development of Cross-Sectional HIV Incidence AssaysR01AI095068 · NIAID · JOHNS HOPKINS UNIVERSITY · PI ESHLEMAN, SUSAN H · 2011 to 2021
$6.6M
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
Individual, Network and Spatial Drivers of HIV and HCV among PWID in IndiaR01DA041736 · NIDA · JOHNS HOPKINS UNIVERSITY · PI SOLOMON, SUNIL SUHAS · 2016 to 2021
$5.0M
Preventing HIV Infection Among MSM in Southern IndiaR01MH089266 · NIMH · JOHNS HOPKINS UNIVERSITY · PI CELENTANO, DAVID D. · 2010 to 2015
$2.9M
Reaching the hardest of the hard-to-reachDP2DA040244 · NIDA · JOHNS HOPKINS UNIVERSITY · PI SOLOMON, SUNIL SUHAS · 2016 to 2023
$2.8M
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 R01 AI095068NIAID NIH HHS T32 AI102623NIDA NIH HHS DP2 DA040244NIDA NIH HHS K24 DA035684NIDA NIH HHS R01 DA032059NIDA NIH HHS R01 DA041034NIDA NIH HHS R01 DA041736NIMH NIH HHS R01 MH089266
6 · The paper itself

Abstract

backgroundPopulation-level prevalence of detectable HIV viraemia (PDV) has been proposed as a metric for monitoring the population-level effectiveness of HIV treatment as prevention. We aimed to characterise temporal changes in PDV in people who inject drugs (PWID) and men who have sex with men (MSM) in India and evaluate community-level and individual-level associations with cross-sectional HIV incidence.

methodsWe did a serial cross-sectional study in which baseline (from Oct 1, 2012, to Dec 19, 2013) and follow-up (from Aug 1, 2016, to May 28, 2017) respondent-driven sampling (RDS) surveys were done in MSM (ten community sites) and PWID (12 community sites) across 21 cities in India. Eligible participants were those aged 18 years or older who provided informed consent and possessed a valid RDS referral coupon. Annualised HIV incidence was estimated with validated multiple-assay algorithms. PDV was calculated as the percentage of people with detectable HIV RNA (>150 copies per mL) in a community site. Community-level associations were determined by linear regression. Multivariable, multilevel Poisson regression was used to assess associations with recent HIV infection.

findingsWe recruited 21 990 individuals in the baseline survey and 21 726 individuals in the follow-up survey. The median community-level HIV incidence estimate increased from 0·9% (range 0·0-2·2) at baseline to 1·5% (0·5-3·0) at follow-up in MSM and from 1·6% (0·5-12·4) to 3·6% (0·0-18·4) in PWID. At the community-level, every 1 percentage point increase in baseline PDV and temporal change in PDV between surveys was associated with higher annualised HIV incidence at follow-up: for baseline PDV β=0·41 (95% CI 0·18-0·63) and for change in PDV β=0·52 (0·38-0·66). After accounting for individual-level risk factors, every 10 percentage point increase in baseline PDV and temporal change in PDV was associated with higher individual-level risk of recent HIV infection at follow-up: adjusted risk ratio 1·85 (95% CI 1·44-2·37) for baseline PDV and 1·81 (1·43-2·29) for change in PDV.

interpretationPDV was temporally associated with community-level and individual-level HIV incidence. These data support scale-up of treatment as prevention programmes to reduce HIV incidence and the programmatic use of PDV to monitor community HIV risk potential.

fundingUS National Institutes of Health, Elton John AIDS Foundation.

Indexed as

AdultCross-Sectional StudiesFemaleHIV InfectionsHumansIncidenceIndiaMalePopulation SurveillancePrevalenceRisk FactorsSexual and Gender MinoritiesSubstance Abuse, IntravenousViremia

Identifiers

PMID34331860
PMCPMC9164229
OpenAlexW3186461827

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.