Evidence map›Paper›PMID 37084941›Full record

SynthesisClinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases2023

Molnupiravir for treatment of adults with mild or moderate COVID-19: a systematic review and meta-analysis of randomized controlled trials.

Ya Gao, Ming Liu, Zhifan Li, Jianguo Xu, Junhua Zhang, Jinhui Tian

Open access · bronzeAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 4 pooled it
4.3field-weighted citation impact, top 5% of its field
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

12 citing papers in PubMed, 4 syntheses or guidelines pooled it, 22 citations in OpenAlex.

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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

6 authors at 4 institutions in 2 countries.

Ya GaoEvidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China; Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada.
Ming LiuEvidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China; Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada.
Zhifan LiThe First Clinical Medical College of Lanzhou University, Lanzhou, China; Department of Radiology, The First Hospital of Lanzhou University, Lanzhou, China.
Jianguo XuEvidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China.
Junhua ZhangEvidence-Based Medicine Center, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Jinhui TianEvidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China; Key Laboratory of Evidence-Based Medicine and Knowledge Translation of Gansu Province, Lanzhou, China. Electronic address: tianjh@lzu.edu.cn.
Impact · CALanzhou University · CNFirst Hospital of Lanzhou University · CNTianjin University of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe effects of molnupiravir in treating patients with non-severe COVID-19 remain uncertain.

objectivesTo evaluate the efficacy and safety of molnupiravir in adult patients with mild or moderate COVID-19. DATA SOURCES: PubMed, Embase, CENTRAL, Web of Science, and WHO COVID-19 database up to 27 December 2022. STUDY ELIGIBILITY CRITERIA: Randomized controlled trials with no language restrictions.

participantsAdults with mild or moderate COVID-19.

interventionsMolnupiravir against standard care or placebo. ASSESSMENT OF RISK OF BIAS: We used a revision of RoB-2 criteria. METHODS OF DATA SYNTHESIS: Outcomes were mortality, hospital admission, viral clearance, time to viral clearance, time to symptom resolution or clinical improvement, any adverse events, and serious adverse events. We performed DerSimonian-Laird random-effects meta-analyses to summarize the evidence and evaluated the certainty of evidence using the Grading of Recommendations Assessment, Development, and Evaluation approach.

resultsNine randomized controlled trials enrolling 30 472 patients proved eligible. Majority of patients were outpatients, with a mean age ranging from 35 to 56.6 years. In adult patients with mild or moderate COVID-19, molnupiravir probably reduces mortality (relative risk [RR], 0.43; 95% CI, 0.20-0.94; risk difference [RD], 0.1% fewer; moderate certainty) and the risk of hospital admission (RR, 0.67; 95% CI, 0.45-0.99; RD, 1.4% fewer; moderate certainty) and may reduce time to viral clearance (mean difference, -1.81 days; 95% CI, -3.31 to -0.31; low certainty) and time to symptom resolution or clinical improvement (mean difference, -2.39 days; 95% CI, -3.71 to -1.07; low certainty). Molnupiravir probably increases the rate of viral clearance (RR, 3.47; 95% CI, 2.43-4.96; RD 16.1% more; moderate certainty) at 7 days (±3 days) and likely does not increase serious adverse events (RR, 0.84; 95% CI, 0.61-1.15; RD 0.1% fewer; moderate certainty).

conclusionsIn adult patients with mild or moderate COVID-19, molnupiravir likely reduces mortality and risk of hospital admission probably without increasing serious adverse events.

Indexed as

COVID-19AdultCytidineHumansHydroxylaminesMiddle AgedRandomized Controlled Trials as TopicCytidineHydroxylaminesmolnupiravirCOVID-19EfficacyMeta-analysisMolnupiravirSafetySARS-CoV-2

Identifiers

PMID37084941
PMCPMC10116122
OpenAlexW4366526064

What OpenQuestion holds

Textmetadata
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.