Effectiveness of Molnupiravir for the Treatment of COVID-19: A Systematic Literature Review of Real-World Observational Studies

preprint OA: closed
Full text JSON View at publisher

Abstract

Molnupiravir (MOV), an oral antiviral, is prescribed to treat adult patients with mild-to-moderate COVID-19 at risk of progressing to severe disease. This systematic literature review assessed the real-world effectiveness of MOV for reducing the progression to severe COVID-19 outcomes in clinical settings, including high-risk or special populations (type 2 diabetes, chronic respiratory diseases, immunocompromised conditions, older adults, and nursing home residents). Studies comparing MOV-treated with untreated groups of non-hospitalized adults at risk of progression to severe COVID-19 outcomes (hospitalization, death, and the composite of hospitalization/death) were identified from EMBASE and PubMed (January 1, 2021‒May 24, 2024). Twenty-one general and special population studies were included. General population studies (n=16) showed that MOV reduced the risk of death, hospitalization, and hospitalization/death. Special population studies (n=10; five additional and five general population articles with subgroups of interest) also showed that MOV reduced the risk of the same outcomes, with a more pronounced effect in older adults (≥60 years). The wide range of risk reduction observed might be attributed to variability in COVID-19 hospitalization guidelines and vaccination coverage. Findings support the effectiveness of MOV in reducing the risk of hospitalization, death, and hospitalization/death compared with untreated groups, including high-risk adults with underlying comorbidities.
Full text 2,783 characters · extracted from oa-doi-fallback · 2 sections · click to expand

Abstract

Molnupiravir (MOV), an oral antiviral, is prescribed to treat adult patients with mild-to-moderate COVID-19 at risk of progressing to severe disease. This systematic literature review assessed the real-world effectiveness of MOV for reducing the progression to severe COVID-19 outcomes in clinical settings, including high-risk or special populations (type 2 diabetes, chronic respiratory diseases, immunocompromised conditions, older adults, and nursing home residents). Studies comparing MOV-treated with untreated groups of non-hospitalized adults at risk of progression to severe COVID-19 outcomes (hospitalization, death, and the composite of hospitalization/death) were identified from EMBASE and PubMed (January 1, 2021‒May 24, 2024). Twenty-one general and special population studies were included. General population studies (n=16) showed that MOV reduced the risk of death, hospitalization, and hospitalization/death. Special population studies (n=10; five additional and five general population articles with subgroups of interest) also showed that MOV reduced the risk of the same outcomes, with a more pronounced effect in older adults (≥60 years). The wide range of risk reduction observed might be attributed to variability in COVID-19 hospitalization guidelines and vaccination coverage. Findings support the effectiveness of MOV in reducing the risk of hospitalization, death, and hospitalization/death compared with untreated groups, including high-risk adults with underlying comorbidities. Supplementary Material File (merck_molnupiravir slr manuscript_final.docx) - Download - 1.18 MB Information & Authors Information Version history Peer review timeline Published Current Medical Research and Opinion Version of Record5 Sep 2025Published Copyright This work is licensed under a Non Exclusive No Reuse License.

Keywords

Authors Metrics & Citations Metrics Article Usage 218views 106downloads Citations Download citation Samantha G. Bromfield, Ramu Periyasamy, Veeri Rajendra Babu, et al. Effectiveness of Molnupiravir for the Treatment of COVID-19: A Systematic Literature Review of Real-World Observational Studies. Authorea. 17 April 2025. DOI: https://doi.org/10.22541/au.174489684.47331710/v1 DOI: https://doi.org/10.22541/au.174489684.47331710/v1 If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download. For more information or tips please see 'Downloading to a citation manager' in the Help menu.

Text is read by the "Ask this paper" AI Q&A widget below. Extraction quality varies by source — PMC NXML preserves structure cleanly, OA-HTML may include some navigation residue, and OA-PDF can have broken hyphenation. The publisher copy (via DOI) is the canonical version.

My notes (saved in your browser only)

Ask this paper AI returns verbatim quotes from the full text · source: oa-doi-fallback

Answers must be backed by verbatim quotes from this paper's full text. Hallucinated quotes are dropped automatically; if no verbatim passage answers the question, we say so. How this works

Citation neighborhood (no data yet)

We don't have any in-corpus citations linked to this paper yet. This is a recent paper (2025) — citers typically take a year or two to land, and the OpenAlex reference graph may still be filling in.

Source provenance

europepmc
last seen: 2026-05-20T01:45:00.602351+00:00