Evidence map›Paper›PMID 42043268›Full record

ArticleViruses2026

Timing of Remdesivir Initiation and Clinical Outcomes in Hospitalized Patients with COVID-19 Who Are at High Risk of Disease Progression in Japan: A Health Insurance Claims Database Study.

Yuichiro Shindo, Yi Piao, Mark Berry, Heribert Ramroth, Manami Yoshida

Abstract read
In one paragraph

Article in Viruses, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Yuichiro ShindoDepartment of Respiratory Medicine, Nagoya University Graduate School of Medicine, Nagoya 466-8550, Japan.ORCID 0000-0002-0207-9483
Yi PiaoGilead Sciences, K.K., 16/F GRAN TOKYO SOUTH TOWER, 1-9-2 Marunouchi, Chiyoda-ku, Tokyo 100-6616, Japan.
Mark BerryGilead Sciences, Inc., 333 Lakeside Dr., Foster City, CA 94405, USA.ORCID 0000-0002-8534-2012
Heribert RamrothGilead Sciences, EU, 2 Roundwood Ave., Uxbridge UB11 1AF, UK.
Manami YoshidaGilead Sciences, K.K., 16/F GRAN TOKYO SOUTH TOWER, 1-9-2 Marunouchi, Chiyoda-ku, Tokyo 100-6616, Japan.

Funding

Gilead Sciences, K.K Not applicable
6 · The paper itself

Abstract

Early initiation of remdesivir (RDV) is recommended to improve COVID-19 outcomes, but real-world studies describing patterns of RDV use and related outcomes among Japanese COVID-19 patients at high-risk of severe outcomes or death are limited. This claims-based cohort study included 60,165 high-risk patients hospitalized with COVID-19 between October 2021 and June 2023 using the DeSC Healthcare claims database. Patients were categorized into early-RDV (within 2 days of hospital admission), late-RDV (between day 3 and day 7), and no-RDV groups based on RDV initiation timing. Descriptive analyses were performed according to RDV groups. Of the study patients, ≥85% were very elderly (≥75 years). Approximately 39% of patients received early RDV, 2% received late RDV, and 59% received no RDV. By day 28, the proportion of alive discharge for early-, late-, and no-RDV groups was 74.9%, 63.1%, and 71.8%, respectively. The mortality for early-, late-, and no-RDV groups was 7.7%, 8.8%, and 8.4%, respectively. Future hypothesis-driven studies with an appropriate adjustment for confounders are needed to formally evaluate the impact of RDV initiation timing on clinical outcomes in this high-risk, predominantly late-elderly population in Japan.

Indexed as

Adenosine MonophosphateAlanineAntiviral AgentsCOVID-19COVID-19 Drug TreatmentAdultAgedAged, 80 and overCohort StudiesDatabases, FactualDisease ProgressionFemaleHospitalizationHumansJapanMaleAdenosine MonophosphateAlanineAntiviral AgentsremdesivirCOVID-19DeSC databasehigh-risk patientshospitalized patientsinitiation timingremdesivir

Identifiers

PMID42043268
PMCPMC13120663

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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.