Evidence map›Paper›PMID 30921454›Full record

ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2020

The Cost-effectiveness of Human Immunodeficiency Virus (HIV) Preexposure Prophylaxis and HIV Testing Strategies in High-risk Groups in India.

Pooyan Kazemian, Sydney Costantini, Nagalingeswaran Kumarasamy, A David Paltiel, Kenneth H Mayer, Nomita Chandhiok, Rochelle P Walensky, Kenneth A Freedberg

Open access · greenAbstract read
In one paragraph

Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 3 pooled it
2.2field-weighted citation impact, top 13% 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

16 citing papers in PubMed, 3 syntheses or guidelines pooled it, 37 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Article
  6. Article
  7. Article
  8. Article
  9. Observational
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. 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

8 authors at 5 institutions in 2 countries.

Pooyan KazemianMedical Practice Evaluation Center, Boston, Massachusetts.
Sydney CostantiniMedical Practice Evaluation Center, Boston, Massachusetts.
Nagalingeswaran KumarasamyCART Clinical Research Site, Infectious Diseases Medical Centre, Voluntary Health Services, Chennai, India.
A David PaltielDepartment of Health Policy and Management, Yale School of Public Health, New Haven, Connecticut.
Kenneth H MayerHarvard Medical School, Boston, Massachusetts.
Nomita ChandhiokIndian Council of Medical Research, Ansari Nagar, New Delhi, India.
Rochelle P WalenskyMedical Practice Evaluation Center, Boston, Massachusetts.
Kenneth A FreedbergMedical Practice Evaluation Center, Boston, Massachusetts.
Harvard University · USBeth Israel Deaconess Medical Center · USIndian Council of Medical Research · INVoluntary Health Services Hospital · INYale New Haven Health System · US

Funding

The impact of HIV viral diversity and cellular immunity on HIV pathogenesisP30AI060354 · NIAID · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI ROBERT A. PARKER · 2004 to 2026
$94.4M
UCSD Department of Medicine HIV/AIDS Clinical Trials UnitUM1AI069432 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI TIMOTHY J. WILKIN · 2012 to 2026
$50.4M
Optimizing HIV Care in Less Developed CountriesR01AI058736 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI Kenneth Alan Freedberg, Emily Parker Hyle · 2004 to 2026
$21.5M
Making Better Decisions: Policy Modeling for AIDS and Drug AbuseR01DA015612 · NIDA · STANFORD UNIVERSITY · PI OWENS, DOUGLAS K · 2002 to 2017
$9.4M
Optimizing HIV Care in Less Developed CountriesR37AI058736 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI FREEDBERG, KENNETH ALAN · 2018 to 2024
$6.6M
Making Better Decisions: Policy Modeling for AIDS and Drug AbuseR37DA015612 · NIDA · STANFORD UNIVERSITY · PI DOUGLAS K OWENS · 2019 to 2026
$6.3M
Novel approaches to the design and evaluation of combination HIV preventionR01MH105203 · NIMH · YALE UNIVERSITY · PI PALTIEL, A. DAVID · 2014 to 2018
$3.3M
NIAID NIH HHS P30 AI060354NIAID NIH HHS R01 AI058736NIAID NIH HHS R37 AI058736NIAID NIH HHS UM1 AI069432NIDA NIH HHS R01 DA015612NIDA NIH HHS R37 DA015612NIMH NIH HHS R01 MH105203
6 · The paper itself

Abstract

backgroundThe human immunodeficiency virus (HIV) epidemic in India is concentrated among 3.1 million men who have sex with men (MSM) and 1.1 million people who inject drugs (PWID), with a mean incidence of 0.9-1.4 per 100 person-years. We examined the cost-effectiveness of both preexposure prophylaxis (PrEP) and HIV testing strategies for MSM and PWID in India.

methodsWe populated an HIV microsimulation model with India-specific data and projected clinical and economic outcomes of 7 strategies for MSM/PWID, including status quo; a 1-time HIV test; routine HIV testing every 3, 6, or 12 months; and PrEP with HIV testing every 3 or 6 months. We used a willingness-to-pay threshold of US$1950, the 2017 Indian per capita gross domestic product, to define cost-effectiveness.

resultsHIV testing alone increased life expectancy by 0.07-0.30 years in MSM; PrEP added approximately 0.90 life-years to status quo. Results were similar in PWID. PrEP with 6-month testing was cost-effective for both MSM (incremental cost-effectiveness ratio [ICER], $1000/year of life saved [YLS]) and PWID (ICER, $500/YLS). Results were most sensitive to HIV incidence. PrEP with 6-month testing would increase HIV-related expenditures by US$708 million (MSM) and US$218 million (PWID) over 5 years compared to status quo.

conclusionsWhile the World Health Organization recommends PrEP with quarterly HIV testing, our analysis identifies PrEP with semiannual testing as the cost-effective HIV prevention strategy for Indian MSM and PWID. Since nationwide scale-up would require a substantial fiscal investment, areas of highest HIV incidence may be the appropriate initial targets for PrEP scale-up.

Indexed as

Anti-HIV AgentsHIV InfectionsPre-Exposure ProphylaxisSexual and Gender MinoritiesCost-Benefit AnalysisHIVHIV TestingHomosexuality, MaleHumansIndiaMaleAnti-HIV Agentscost-effectivenessHIVIndiaPrEPtesting

Identifiers

PMID30921454
PMCPMC7319272
OpenAlexW2930131692

What OpenQuestion holds

Textmetadata
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.