Evidence map›Paper›PMID 42460028›Full record

ArticleInfection and drug resistance2026

Effect of Remdesivir on Mortality in Mechanically Ventilated COVID-19 Patients: A Target Trial Emulation Using Inverse Probability of Treatment Weighting.

Yan-Ru Wang, Hong-Jie Jhou, Po-Huang Chen, Te-Yu Lin

Abstract read
In one paragraph

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

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

4 authors.

Yan-Ru WangDivision of Infectious Diseases and Tropical Medicine, Department of Internal Medicine, Tri-Service General Hospital, National Defense Medical University, Taipei, Taiwan.
Hong-Jie JhouNeurological Institute, Changhua Christian Hospital, Changhua City, Taiwan.ORCID 0000-0003-3304-4643
Po-Huang Chen *School of Medicine, College of Medicine, National Defense Medical University, Taipei, Taiwan.ORCID 0000-0002-0280-6417
Te-Yu Lin *Division of Infectious Diseases and Tropical Medicine, Department of Internal Medicine, Tri-Service General Hospital, National Defense Medical University, Taipei, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The efficacy of remdesivir in critically ill COVID-19 patients requiring mechanical ventilation remains controversial. Although current guidelines recommend against routine use in this population, clinical practice varies. We evaluated the association between remdesivir and mortality using a target trial emulation framework. Methods: This retrospective cohort study included adult COVID-19 patients requiring endotracheal intubation within 7 days of diagnosis at a tertiary medical center in Taiwan (January 2021-March 2024). Remdesivir exposure was defined as in-hospital initiation of standard-dose remdesivir within 3 days of COVID-19 diagnosis (the grace period; diagnosis date defined as time zero), continued for at least 3 consecutive days. Stabilized inverse probability of treatment weighting (S-IPTW) using 15 baseline covariates was applied. Primary outcomes were overall and 90-day mortality; secondary outcome was mechanical ventilation duration. Results: Among 163 eligible patients, 117 (71.8%) received remdesivir. After S-IPTW weighting, covariates were well balanced (maximum |SMD|=0.148). Remdesivir was associated with increased overall mortality (HR 2.52; 95% CI 1.24-5.15; p=0.011) and prolonged mechanical ventilation (HR 2.79; 95% CI 1.37-5.68; p=0.005). A similar trend was observed for 90-day mortality (HR 2.09; 95% CI 0.97-4.48; p=0.060). Findings were consistent after excluding ECMO users (overall mortality HR 2.68; 95% CI 1.27-5.62; p=0.009). E-values suggested moderate robustness to unmeasured confounding. Conclusion: In mechanically ventilated COVID-19 patients, remdesivir use was associated with, but not proven to cause, increased mortality and longer ventilation duration; these observational findings align with guideline recommendations against routine initiation in this setting.

Indexed as

COVID-19inverse probability of treatment weightingmortalityremdesivirtarget trial emulation

Identifiers

PMID42460028
PMCPMC13368865

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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.