Evidence map›Paper›PMID 39497563›Full record

ArticleJournal of Korean medical science2024

Nationwide Target Trial Emulation Evaluating the Clinical Effectiveness of Oral Antivirals for COVID-19 in Korea.

Kyungmin Huh, Youngji Jo, Gi Hwan Bae, Hyejin Joo, Munkhzul Radnaabaatar, Hyungmin Lee, Jungyeon Kim, Dong-Hwi Kim, Min-Gyu Yoo, Il Uk Jo and 4 more

Abstract read
In one paragraph

Article in Journal of Korean medical science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Risk Adjustment in Medical Research: A Bird's Eye View.Journal of Korean medical science · 2024
    Review
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

14 authors.

Kyungmin Huh *Division of Infectious Diseases, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-5140-3964
Youngji Jo *Department of Public Health Sciences, School of Medicine, University of Connecticut, Storrs, CT, USA.ORCID https://orcid.org/0000-0002-1440-2786
Gi Hwan Bae *Artificial Intelligence and Big-Data Convergence Center, Gil Medical Center, Gachon University College of Medicine, Incheon, Korea.ORCID https://orcid.org/0000-0002-8736-3386
Hyejin Joo *Department of Preventive Medicine, Gachon University College of Medicine, Incheon, Korea.ORCID https://orcid.org/0000-0003-1683-1143
Munkhzul RadnaabaatarArtificial Intelligence and Big-Data Convergence Center, Gil Medical Center, Gachon University College of Medicine, Incheon, Korea.ORCID https://orcid.org/0000-0003-4968-5031
Hyungmin LeePatient Management Team, Central Headquarters of COVID-19, Korea Disease Control and Prevention Agency, Cheongju, Korea.ORCID https://orcid.org/0000-0003-3478-3704
Jungyeon KimPatient Management Team, Central Headquarters of COVID-19, Korea Disease Control and Prevention Agency, Cheongju, Korea.ORCID https://orcid.org/0000-0003-2732-1544
Dong-Hwi KimPatient Management Team, Central Headquarters of COVID-19, Korea Disease Control and Prevention Agency, Cheongju, Korea.ORCID https://orcid.org/0000-0002-3181-0917
Min-Gyu YooPatient Management Team, Central Headquarters of COVID-19, Korea Disease Control and Prevention Agency, Cheongju, Korea.ORCID https://orcid.org/0000-0002-8153-6813
Il Uk JoBig Data Management Division, Health Insurance Review & Assessment Service, Wonju, Korea.ORCID https://orcid.org/0009-0008-6160-9393
Poong Hoon LeeBig Data Management Division, Health Insurance Review & Assessment Service, Wonju, Korea.ORCID https://orcid.org/0000-0001-8258-2152
Geun Woo LeeBig Data Management Division, Health Insurance Review & Assessment Service, Wonju, Korea.ORCID https://orcid.org/0000-0002-1459-1652
Hee Sun JungBig Data Management Division, Health Insurance Review & Assessment Service, Wonju, Korea.ORCID https://orcid.org/0009-0001-3226-4372
Jaehun JungArtificial Intelligence and Big-Data Convergence Center, Gil Medical Center, Gachon University College of Medicine, Incheon, Korea.ORCID https://orcid.org/0000-0002-4856-3668

Funding

Korea National Institute of Health HD22C2045National Research Foundation of Korea NRF-2021R1A5A2030333
6 · The paper itself

Abstract

backgroundDespite the proven effectiveness of oral antivirals against severe acute respiratory syndrome coronavirus 2 in randomized trials, their clinical reevaluation is vital in the context of widespread immunity and milder prevalent variants. This study aimed to assess the effectiveness of oral antivirals for coronavirus disease 2019 (COVID-19).

methodsThis retrospective cohort study utilized a target trial emulation framework to analyze patients with COVID-19 aged 60+ from January to December 2022. Data were obtained from the Korea Disease Control and Prevention Agency and Health Insurance Review and Assessment Service. The study involved 957,036 patients treated with nirmatrelvir/ritonavir and 243,360 treated with molnupiravir, each compared with the matched control groups. Primary outcome was progression to critical COVID-19 requiring advanced respiratory support. Secondary outcomes included progression to severe COVID-19, need for supplemental oxygen, and death within 30 days of the onset of COVID-19. Number needed to treat (NNT) derived from the absolute risk reduction.

resultsNirmatrelvir/ritonavir was significantly associated with a reduced risk of severe (adjusted odds ratio [aOR], 0.823; 95% confidence interval [CI], 0.803-0.843), critical (aOR, 0.560; 95% CI, 0.503-0.624), and fatal COVID-19 (aOR, 0.694; 95% CI, 0.647-0.744). Similarly, molnupiravir reduced the risk of severe (aOR, 0.895; 95% CI, 0.856-0.937), critical (aOR, 0.672; 95% CI, 0.559-0.807), and fatal cases (aOR, 0.679; 95% CI, 0.592-0.779). NNTs for nirmatrelvir/ritonavir were 203.71 (severe), 1,230.12 (critical), and 691.50 (death); for molnupiravir, they were 352.70 (severe), 1,398.62 (critical), and 862.98 (death). Higher effectiveness was associated with older adults, unvaccinated individuals, and the late pandemic phase.

conclusionNirmatrelvir/ritonavir and molnupiravir are effective in preventing progression to severe disease in elderly adults with COVID-19.

Indexed as

Antiviral AgentsCOVID-19 Drug TreatmentRitonavirSARS-CoV-2Administration, OralAgedAged, 80 and overCOVID-19CytidineFemaleHumansHydroxylaminesMaleMiddle AgedRepublic of KoreaRetrospective StudiesAntiviral AgentsCytidineHydroxylaminesmolnupiravirRitonavirCOVID-19EffectivenessOral AntiviralsSARS-CoV-2Target Trial Emulation

Identifiers

PMID39497563
PMCPMC11538573

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.