Evidence map›Paper›PMID 41023657›Full record

ArticleBMC infectious diseases2025

Comparative effectiveness of antiviral treatment on household transmission of SARS-CoV-2: a retrospective cohort study using administrative data.

Kazuhiko Ikeuchi, Makoto Saito, Kazuya Okushin, Yuki Arisato, Toshiyuki Kishida, Shinya Matsumoto, Akira Kado, Hiroshi Yotsuyanagi, Takeya Tsutsumi

Abstract readComparative Study
In one paragraph

Article in BMC infectious diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
  2. 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

9 authors.

Kazuhiko IkeuchiDepartment of Infectious Diseases, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan. kikeuchi@g.ecc.u-tokyo.ac.jp.
Makoto SaitoCentre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, OX3 7LF, UK.
Kazuya OkushinDepartment of Infection Control and Prevention, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan.
Yuki ArisatoDepartment of Infectious Diseases, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan.
Toshiyuki KishidaDepartment of Infectious Diseases, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan.
Shinya MatsumotoDepartment of Infectious Diseases, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan.
Akira KadoDepartment of Gastroenterology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan.
Hiroshi YotsuyanagiDepartment of Infectious Diseases and Applied Immunology, IMSUT Hospital of The Institute of Medical Science, The University of Tokyo, 4-6-1 Shirokanedai, Minato-ku, Tokyo, 108-8639, Japan.
Takeya TsutsumiDepartment of Infectious Diseases, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan.

Funding

JST, PRESTO JPMJPR23R1
6 · The paper itself

Abstract

backgroundAntiviral treatment reduces influenza transmission and differs in effectiveness among agents. Although SARS-CoV-2 antivirals lower viral shedding, their role in preventing secondary household transmission and the differences between agents remain unclear.

methodsWe conducted a retrospective cohort study using the JMDC administrative claims database in Japan. The study included married-couple households between 1 April and 31 August 2023, when the Omicron XBB variant was predominant. Households in which at least one person had been diagnosed with Coronavirus Disease 2019 (COVID-19) were included. We excluded households if the index patient did not receive antiviral treatment on day 0, or the spouse was diagnosed on day 0 or 1. The primary outcome was subsequent infection in the spouse by day 7. Cox proportional hazards models were used to estimate hazard ratios (HRs), after adjusting for potential confounders.

resultsOf the 326,827 married-couple households, 5,398 met the inclusion criteria. Among them, 1,143 households (21.2%) experienced presumed secondary transmission by day 7. The cumulative transmission rate, estimated using the Kaplan-Meier method, was lower among hospitalized patients (n = 73, 11.0%, 95% confidence interval [CI]: 5.7-20.8%) than among outpatients (n = 5,325, 21.5%, 95% CI: 20.4-22.6%, p = 0.035). Transmission rates did not significantly differ among the outpatient antiviral groups: molnupiravir (n = 3,093, 21.3%, 95% CI: 19.9-22.8%), ensitrelvir (n = 1,907, 21.6%, 95% CI: 19.8-23.6%), and nirmatrelvir/ritonavir (n = 323, 22.8%, 95% CI: 18.6-27.8%, p = 0.74). In multivariable Cox analysis, male sex (adjusted HR 1.43, 95% CI: 1.26-1.63; p < 0.001), history of COVID-19 in the index patient (adjusted HR 0.50, 95% CI: 0.33-0.76; p = 0.001), and history of COVID-19 in the partner (adjusted HR 0.31, 95% CI: 0.21-0.45; p < 0.001) were significantly associated with transmission risk. Hospitalization tended to be associated with a lower risk of transmission (adjusted HR, 0.51; 95% CI, 0.25-1.03; p = 0.062).

conclusionsHousehold transmission rates were not statistically different among three different outpatient oral antiviral agents. Hospitalization was associated with a trend toward lower transmission rates, possibly due to physical isolation.

Indexed as

Antiviral AgentsCOVID-19COVID-19 Drug TreatmentSARS-CoV-2AdultAgedFamily CharacteristicsFemaleHumansJapanMaleMiddle AgedProportional Hazards ModelsRetrospective StudiesAntiviral Agents

Identifiers

PMID41023657
PMCPMC12482191

What OpenQuestion holds

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LicenceCC BY
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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.