Evidence map›Paper›PMID 35381167›Full record

ArticleEpidemiology and health2022

Model-based cost-effectiveness analysis of oral antivirals against SARS-CoV-2 in Korea.

Youngji Jo, Sun Bean Kim, Munkhzul Radnaabaatar, Kyungmin Huh, Jin-Hong Yoo, Kyong Ran Peck, Hojun Park, Jaehun Jung

Open access · diamondAbstract read
In one paragraph

Article in Epidemiology and health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 pooled it
3.1field-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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it, 32 citations in OpenAlex.

  1. Pooled it
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  8. Cost-utility analysis of molnupiravir for high-risk, community-based adults with COVID-19: an economic evaluation of the PANORAMIC trial.The British journal of general practice : the journal of the Royal College of General Practitioners · 2024
    Article
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  11. Nirmatrelvir plus ritonavir in COVID-19: a profile of its use.Drugs & therapy perspectives : for rational drug selection and use · 2023
    Review
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  13. Review
  14. Observational
  15. Medications for early treatment of COVID-19 in Australia.The Medical journal of Australia · 2022
    Review
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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

8 authors at 5 institutions in 3 countries.

Youngji JoSection of Infectious Disease, Department of Medicine, Boston Medical Center, Boston, MA, USA.
Sun Bean KimDepartment of Internal Medicine, Division of Infectious Diseases, Korea University College of Medicine, Seoul, Korea.
Munkhzul RadnaabaatarArtificial Intelligence and Big-Data Convergence Center, Gil Medical Center, Gachon University College of Medicine, Incheon, Korea.
Kyungmin HuhDivision of Infectious Diseases, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Jin-Hong YooDivision of Infectious Diseases, Department of Internal Medicine, Bucheon St. Mary's Hospital, Bucheon, Korea.
Kyong Ran PeckDivision of Infectious Diseases, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Hojun ParkArtificial Intelligence and Big-Data Convergence Center, Gil Medical Center, Gachon University College of Medicine, Incheon, Korea.
Jaehun JungArtificial Intelligence and Big-Data Convergence Center, Gil Medical Center, Gachon University College of Medicine, Incheon, Korea.
Gachon University · KRSamsung Medical Center · KRBoston Medical Center · USKorea University · KRThe Catholic University of Korea Bucheon St. Mary's Hospital · KR

Funding

Optimal Medication Dispensing for People Living with HIV with and without Other Chronic Diseases in Zambia: A Mathematical ModelF32MH128120 · NIMH · BOSTON MEDICAL CENTER · PI JO, YOUNGJI · 2021 to 2022
$150k
Ministry of Science and ICTNational IT Industry Promotion AgencyNational Research Foundation of Korea 2021R1A5A2030333National Research Foundation of Korea 2021R1C1C101177411NIMH NIH HHS F32 MH128120
6 · The paper itself

Abstract

objectivesMany countries have authorized the emergency use of oral antiviral agents for patients with mild-to-moderate cases of coronavirus disease 2019 (COVID-19). We assessed the cost-effectiveness of these agents for reducing the number of severe COVID-19 cases and the burden on Korea's medical system.

methodsUsing an existing model, we estimated the number of people who would require hospital/intensive care unit (ICU) admission in Korea in 2022. The treatment scenarios included (1) all adult patients, (2) elderly patients only, and (3) adult patients with underlying diseases only, compared to standard care. Based on the current health system capacity, we calculated the incremental costs per severe case averted and hospital admission for each scenario.

resultsWe estimated that 236,510 COVID-19 patients would require hospital/ICU admission in 2022 with standard care only. Nirmatrelvir/ritonavir (87% efficacy) was predicted to reduce this number by 80%, 24%, and 17% when targeting all adults, adults with underlying diseases, and elderly patients (25, 8, and 4%, respectively, for molnupiravir, with 30% efficacy). Nirmatrelvir/ritonavir use is likely to be cost-effective, with predicted costs of US$8,878, US$8,964, and US$1,454, per severe patient averted for the target groups listed above, respectively, while molnupiravir is likely to be less cost-effective, with costs of US$28,492, US$29,575, and US$7,915, respectively.

conclusionsIn Korea, oral treatment using nirmatrelvir/ritonavir for symptomatic COVID-19 patients targeting elderly patients would be highly cost-effective and would substantially reduce the demand for hospital admission to below the capacity of the health system if targeted to all adult patients instead of standard care.

Indexed as

COVID-19 Drug TreatmentSARS-CoV-2AdultAgedAntiviral AgentsCost-Benefit AnalysisHumansRitonavirAntiviral AgentsRitonavirAntiviral agentsCost-effectiveness analysisCOVID-19HospitalizationSARS-CoV-2

Identifiers

PMID35381167
PMCPMC9350420
OpenAlexW4221121014

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.