Evidence map›Paper›PMID 36384890›Full record

Observational studyBMJ (Clinical research ed.)2022

Comparative effectiveness of sotrovimab and molnupiravir for prevention of severe covid-19 outcomes in patients in the community: observational cohort study with the OpenSAFELY platform.

Bang Zheng, Amelia C A Green, John Tazare, Helen J Curtis, Louis Fisher, Linda Nab, Anna Schultze, Viyaasan Mahalingasivam, Edward P K Parker, William J Hulme and 23 more

Open access · hybridAbstract readObservational Study
In one paragraph

Observational study in BMJ (Clinical research ed.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 8 pooled it
9.5field-weighted citation impact, top 1% 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

50 citing papers in PubMed, 8 syntheses or guidelines pooled it, 94 citations in OpenAlex.

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  10. Evaluating treatment effectiveness: Complementing RCTs with real-world data.American journal of health-system pharmacy : AJHP : official journal of the American Society of Health-System Pharmacists · 2026
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4 · The record

Corrections and comments

  • Commented on by
    2023
5 · Who and what money

Authors and funding

33 authors at 2 institutions in 1 country.

Bang ZhengLondon School of Hygiene and Tropical Medicine, London, UK.
Amelia C A GreenThe DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
John TazareLondon School of Hygiene and Tropical Medicine, London, UK.
Helen J CurtisThe DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Louis FisherThe DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Linda NabThe DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Anna SchultzeLondon School of Hygiene and Tropical Medicine, London, UK.
Viyaasan MahalingasivamLondon School of Hygiene and Tropical Medicine, London, UK.
Edward P K ParkerLondon School of Hygiene and Tropical Medicine, London, UK.
William J HulmeThe DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Sebastian C J BaconThe DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Nicholas J DeVitoThe DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Christopher BatesTPP, TPP House, Horsforth, Leeds, UK.
David EvansThe DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Peter InglesbyThe DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Henry DrysdaleThe DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Simon DavyThe DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Jonathan CockburnTPP, TPP House, Horsforth, Leeds, UK.
Caroline E MortonThe DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
George HickmanThe DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Tom WardThe DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Rebecca M SmithThe DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
John ParryTPP, TPP House, Horsforth, Leeds, UK.
Frank HesterTPP, TPP House, Horsforth, Leeds, UK.
Sam HarperTPP, TPP House, Horsforth, Leeds, UK.
Amir MehrkarThe DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Rosalind M EggoLondon School of Hygiene and Tropical Medicine, London, UK.
Alex J WalkerThe DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Stephen J W EvansLondon School of Hygiene and Tropical Medicine, London, UK.
Ian J DouglasLondon School of Hygiene and Tropical Medicine, London, UK.
Brian MacKennaThe DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Ben GoldacreThe DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Laurie A TomlinsonLondon School of Hygiene and Tropical Medicine, London, UK.ORCID 0000-0001-8848-9493
University of Oxford · GBLondon School of Hygiene & Tropical Medicine · GB

Funding

Medical Research Council MC_PC_20030Medical Research Council MC_PC_20051Medical Research Council MC_PC_20059Medical Research Council MR/S003975/1Medical Research Council MR/V015737/1Wellcome Trust
6 · The paper itself

Abstract

objectiveTo compare the effectiveness of sotrovimab (a neutralising monoclonal antibody) with molnupiravir (an antiviral) in preventing severe outcomes of covid-19 in adult patients infected with SARS-CoV-2 in the community and at high risk of severe outcomes from covid-19.

designObservational cohort study with the OpenSAFELY platform.

settingWith the approval of NHS England, a real world cohort study was conducted with the OpenSAFELY-TPP platform (a secure, transparent, open source software platform for analysis of NHS electronic health records), and patient level electronic health record data were obtained from 24 million people registered with a general practice in England that uses TPP software. The primary care data were securely linked with data on SARS-CoV-2 infection and treatments, hospital admission, and death, over a period when both drug treatments were frequently prescribed in community settings.

participantsAdult patients with covid-19 in the community at high risk of severe outcomes from covid-19, treated with sotrovimab or molnupiravir from 16 December 2021.

interventionsSotrovimab or molnupiravir given in the community by covid-19 medicine delivery units.

main outcome measuresAdmission to hospital with covid-19 (ie, with covid-19 as the primary diagnosis) or death from covid-19 (ie, with covid-19 as the underlying or contributing cause of death) within 28 days of the start of treatment.

resultsBetween 16 December 2021 and 10 February 2022, 3331 and 2689 patients were treated with sotrovimab and molnupiravir, respectively, with no substantial differences in baseline characteristics. Mean age of all 6020 patients was 52 (standard deviation 16) years; 59% were women, 89% were white, and 88% had received three or more covid-19 vaccinations. Within 28 days of the start of treatment, 87 (1.4%) patients were admitted to hospital or died of infection from SARS-CoV-2 (32 treated with sotrovimab and 55 with molnupiravir). Cox proportional hazards models stratified by area showed that after adjusting for demographic information, high risk cohort categories, vaccination status, calendar time, body mass index, and other comorbidities, treatment with sotrovimab was associated with a substantially lower risk than treatment with molnupiravir (hazard ratio 0.54, 95% confidence interval 0.33 to 0.88, P=0.01). Consistent results were found from propensity score weighted Cox models (0.50, 0.31 to 0.81, P=0.005) and when restricted to people who were fully vaccinated (0.53, 0.31 to 0.90, P=0.02). No substantial effect modifications by other characteristics were detected (all P values for interaction >0.10). The findings were similar in an exploratory analysis of patients treated between 16 February and 1 May 2022 when omicron BA.2 was the predominant variant in England.

conclusionsIn routine care of adult patients in England with covid-19 in the community, at high risk of severe outcomes from covid-19, those who received sotrovimab were at lower risk of severe outcomes of covid-19 than those treated with molnupiravir.

Indexed as

COVID-19AdolescentAdultAntibodies, Monoclonal, HumanizedAntibodies, NeutralizingCohort StudiesCytidineFemaleHumansHydroxylaminesMaleSARS-CoV-2Antibodies, Monoclonal, HumanizedAntibodies, NeutralizingCytidineHydroxylaminesmolnupiravirsotrovimab

Identifiers

PMID36384890
PMCPMC9667468
OpenAlexW4309515692

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.