Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2025 May 29:389:e081165.
doi: 10.1136/bmj-2024-081165.

Drug treatments for mild or moderate covid-19: systematic review and network meta-analysis

Affiliations

Drug treatments for mild or moderate covid-19: systematic review and network meta-analysis

Sara Ibrahim et al. BMJ. .

Abstract

Objective: To compare the effects of treatments for mild or moderate (that is, non-severe) coronavirus disease 2019 (covid-19).

Design: Systematic review and network meta-analysis.

Data sources: Covid-19 Living Overview of Evidence Repository (covid-19 L-OVE) by the Epistemonikos Foundation, a public, living repository of covid-19 articles, from 1 January 2023 to 19 May 2024. The search also included the WHO covid-19 database (up to 17 February 2023) and six Chinese databases (up to 20 February 2021). The analysis included studies identified between 1 December 2019 and 28 June 2023.

Study selection: Randomised clinical trials in which people with suspected, probable, or confirmed mild or moderate covid-19 were allocated to drug treatment or to standard care or placebo. Pairs of reviewers independently screened potentially eligible articles.

Methods: After duplicate data abstraction, a bayesian network meta-analysis was conducted. Risk of bias was assessed by use of a modification of the Cochrane risk of bias 2.0 tool, and the certainty of the evidence using the grading of recommendations assessment, development, and evaluation (GRADE) approach. For each outcome, following GRADE guidance, drug treatments were classified in groups from the most to the least beneficial or harmful.

Results: Of 259 trials enrolling 166 230 patients, 187 (72%) were included in the analysis. Compared with standard care, two drugs probably reduce hospital admission: nirmatrelvir-ritonavir (25 fewer per 1000 (95% confidence interval 28 fewer to 20 fewer), moderate certainty) and remdesivir (21 fewer per 1000 (28 fewer to 7 fewer), moderate certainty). Molnupiravir and systemic corticosteroids may reduce hospital admission (low certainty). Compared with standard care, azithromycin probably reduces time to symptom resolution (mean difference 4 days fewer (5 fewer to 3 fewer), moderate certainty) and systemic corticosteroids, favipiravir, molnupiravir, and umifenovir probably also reduce duration of symptoms (moderate to high certainty). Compared with standard care, only lopinavir-ritonavir increased adverse effects leading to discontinuation.

Conclusion: Nirmatrelvir-ritonavir and remdesivir probably reduce admission to hospital, and systemic corticosteroids and molnupiravir may reduce admission to hospital. Several medications including systemic corticosteroids and molnupiravir probably reduce time to symptom resolution.

Systematic review registration: This review was not registered. The protocol is publicly available in the supplementary material.

PubMed Disclaimer

Conflict of interest statement

Competing interests: All authors have completed the ICMJE uniform disclosure form at www.icmje.org/disclosure-of-interest/ and declare: support from the Canadian Institutes of Health Research for the submitted work; no financial relationships with any organisations that might have an interest in the submitted work in the previous three years; no other relationships or activities that could appear to have influenced the submitted work.

Figures

Fig 1
Fig 1
Study selection
Fig 2
Fig 2
Summary of effects of drug treatments compared with standard care for mild and moderate covid-19

Similar articles

References

    1. World Health Organization. WHO COVID-19 dashboard. 2023. https://covid19.who.int.
    1. COVID-19 Studies from the World Health Organization Database - ClinicalTrials.gov. 2023 https://classic.clinicaltrials.gov/ct2/who_table.
    1. Djulbegovic B, Guyatt G. Evidence-based medicine in times of crisis. J Clin Epidemiol 2020;126:164-6. 10.1016/j.jclinepi.2020.07.002 - DOI - PMC - PubMed
    1. Puhan MA, Schünemann HJ, Murad MH, et al. GRADE Working Group . A GRADE Working Group approach for rating the quality of treatment effect estimates from network meta-analysis. BMJ 2014;349:g5630. 10.1136/bmj.g5630 - DOI - PubMed
    1. Trougakos IP, Stamatelopoulos K, Terpos E, et al. . Insights to SARS-CoV-2 life cycle, pathophysiology, and rationalized treatments that target COVID-19 clinical complications. J Biomed Sci 2021;28:9. 10.1186/s12929-020-00703-5 - DOI - PMC - PubMed

Publication types

MeSH terms

LinkOut - more resources