Evidence map›Paper›PMID 42534418›Full record

ArticleOpen forum infectious diseases2026

Evaluating the Effectiveness of Antivirals for COVID-19 in the Post-vaccine, Omicron Era: A Systematic Review and Meta-analysis.

Laura J Edwards, Bette Liu, James G Wood, Nicola Stephens, Allen C Cheng

Abstract read
In one paragraph

Article in Open forum infectious diseases, 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

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

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.

Laura J EdwardsSchool of Population Health, UNSW Sydney, Sydney, New South Wales, Australia.ORCID https://orcid.org/0000-0002-3984-6017
Bette LiuSchool of Population Health, UNSW Sydney, Sydney, New South Wales, Australia.
James G WoodSchool of Population Health, UNSW Sydney, Sydney, New South Wales, Australia.
Nicola StephensSchool of Medicine, University of Tasmania, Hobart, Tasmania, Australia.
Allen C ChengInfectious Diseases, Monash Health, Melbourne, Victoria, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Randomized controlled trials (RCTs) of oral antivirals for COVID-19 conducted early in the pandemic had favorable results in unvaccinated populations. We conducted a systematic review and meta-analysis of the effectiveness of nirmatrelvir-ritonavir and molnupiravir against hospitalization and death in vaccinated populations in the post-Omicron era. Methods: We systematically searched PubMed, Embase and the Cochrane library for RCTs conducted from January 2020, and observational studies in adults who were vaccinated conducted from January 2022. We performed a random effects meta-analysis using the inverse variance method with subgroup analysis by age (<65 vs ≥65 years) and study quality (excluding vs including studies at serious risk of bias). Results: We identified 43 studies (8 RCTs, 35 observational). Two RCTs were in vaccinated populations in which no association between treatment with nirmatrelvir-ritonavir and a reduction in death, or treatment with molnupiravir and a reduction in hospitalization or death, was observed. In the meta-analysis of observational studies, nirmatrelvir-ritonavir was associated with a reduction in hospitalization (n = 11; odds ratio (OR): 0.60; 95% CI .54-.67, hazard ratio (HR): 0.69; 95% CI .62-.76) and mortality (n = 9; OR: 0.33, 95% CI .22-.48; HR: 0.56, 95% CI .36-.87). Molnupiravir was not associated with a significant reduction in hospitalization (n = 5; OR = 0.83; 95% CI .65-1.07) with mixed results for mortality (n = 9; OR = 0.61; 95% CI .41-.91; HR = 0.65; 95% CI .42-1.01). Conclusions: In vaccinated populations, RCTs have not demonstrated a reduction in hospitalization or death among populations treated with nirmatrelvir-ritonavir or with molnupiravir. However, RCTs of nirmatrelvir-ritonavir had limited statistical power to detect clinically important differences. Observational studies of nirmatrelvir-ritonavir, but not molnupiravir, consistently suggested a benefit against these outcomes. Clinical Trail Registration: PROSPERO (CRD420251266532).

Indexed as

antiviral effectivenessCOVID-19molnupiravirnirmatrelvir-ritonavirSARS-CoV-2

Identifiers

PMID42534418
PMCPMC13421070

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.