Evidence map›Paper›PMID 32884082›Full record

ArticleScientific reports2020

Cost-effectiveness analysis of pre-exposure prophylaxis for the prevention of HIV in men who have sex with men in South Korea: a mathematical modelling study.

Heun Choi, Jiyeon Suh, Woonji Lee, Jun Hyoung Kim, Jung Ho Kim, Hye Seong, Jin Young Ahn, Su Jin Jeong, Nam Su Ku, Yoon Soo Park and 6 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
0.2field-weighted citation impact, top 33% 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

14 citing papers in PubMed, 2 syntheses or guidelines pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  4. Review
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  10. Observational
  11. Article
  12. Time to consider elimination of HIV in China.The Lancet regional health. Western Pacific · 2022
    Article
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  14. 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

16 authors at 4 institutions in 2 countries.

Heun Choi *Department of Internal Medicine and AIDS Research Institute, Yonsei University College of Medicine, Seoul, Republic of Korea.
Jiyeon Suh *Department of Computational Science and Engineering, Yonsei University, Seoul, Republic of Korea.
Woonji LeeDepartment of Internal Medicine and AIDS Research Institute, Yonsei University College of Medicine, Seoul, Republic of Korea.
Jun Hyoung KimDepartment of Internal Medicine and AIDS Research Institute, Yonsei University College of Medicine, Seoul, Republic of Korea.
Jung Ho KimDepartment of Internal Medicine and AIDS Research Institute, Yonsei University College of Medicine, Seoul, Republic of Korea.
Hye SeongDepartment of Internal Medicine and AIDS Research Institute, Yonsei University College of Medicine, Seoul, Republic of Korea.
Jin Young AhnDepartment of Internal Medicine and AIDS Research Institute, Yonsei University College of Medicine, Seoul, Republic of Korea.
Su Jin JeongDepartment of Internal Medicine and AIDS Research Institute, Yonsei University College of Medicine, Seoul, Republic of Korea.
Nam Su KuDepartment of Internal Medicine and AIDS Research Institute, Yonsei University College of Medicine, Seoul, Republic of Korea.
Yoon Soo ParkDepartment of Internal Medicine and AIDS Research Institute, Yonsei University College of Medicine, Seoul, Republic of Korea.
Joon Sup YeomDepartment of Internal Medicine and AIDS Research Institute, Yonsei University College of Medicine, Seoul, Republic of Korea.
Changsoo KimDepartment of Preventive Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea.
Hee-Dae KwonDepartment of Mathematics, Inha University, Incheon, Republic of Korea.
Davey M SmithDepartment of Medicine, University of California San Diego, La Jolla, CA, USA.
Jeehyun LeeDepartment of Computational Science and Engineering, Yonsei University, Seoul, Republic of Korea.
Jun Yong ChoiDepartment of Internal Medicine and AIDS Research Institute, Yonsei University College of Medicine, Seoul, Republic of Korea. SERAN@yuhs.ac.
Yonsei University · KRInha University · KRUniversity of California San Diego · USYonsei University Health System · KR

Funding

UC San Diego Clinical and Translational Research InstituteUL1TR001442 · NCATS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI FIRESTEIN, GARY S, HOGARTH, MICHAEL · 2015 to 2024
$88.3M
VirologyP30AI036214 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Maile Ann Young Karris · 1994 to 2026
$78.4M
NCATS NIH HHS UL1 TR001442NIAID NIH HHS P30 AI036214
6 · The paper itself

Abstract

In February 2018, the Ministry of Food and Drug Safety in Korea approved tenofovir disoproxil fumarate and emtricitabine (TDF/FTC) co-formulate for use in pre-exposure prophylaxis (PrEP) for the prevention of human immunodeficiency virus (HIV) infection. This study aimed to estimate the cost-effectiveness of PrEP in men who have sex with men (MSM), a major risk group emerging in Korea. A dynamic compartmental model was developed for HIV transmission and progression in MSM aged 15-64 years. With a combined model including economic analysis, we estimated averted HIV infections, changes in HIV prevalence, discounted costs, quality-adjusted life-years (QALYs), and incremental cost-effectiveness ratios (ICERs). PrEP was evaluated in both the general MSM and high-risk MSM populations and was assumed to reduce infection risk by 80%. Implementing PrEP in all MSM would avert 75.2% HIV infections and facilitate a gain of 37,372 QALYs at a cost of $274,822 per QALY gained over 20 years relative to the status quo. Initiating PrEP in high-risk MSM with an average of eight partners per year (around 20% of MSM) would improve the cost-effectiveness, averting 78.0% HIV infections and add 29,242 QALYs at a cost of $51,597 per QALY gained, which is within the willingness-to-pay threshold for Korea of $56,000/QALY gained. This result was highly sensitive to annual PrEP costs, quality-of-life for people who are on PrEP, and initial HIV prevalence. Initiating PrEP in a larger proportion of MSM in Korea would prevent more HIV infections, but at an increasing cost per QALY gained. Focusing PrEP on higher risk MSM and any reduction in PrEP cost would improve cost-effectiveness.

Indexed as

Cost-Benefit AnalysisHomosexuality, MaleModels, TheoreticalAnti-HIV AgentsHIV InfectionsHumansMalePre-Exposure ProphylaxisQuality of LifeRepublic of KoreaAnti-HIV Agents

Identifiers

PMID32884082
PMCPMC7471951
OpenAlexW3082379820

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.