Evidence map›Paper›PMID 37927438›Full record

ArticleThe Lancet regional health. Europe2023

Comparative effectiveness of nirmatrelvir/ritonavir versus sotrovimab and molnupiravir for preventing severe COVID-19 outcomes in non-hospitalised high-risk patients during Omicron waves: observational cohort study using the OpenSAFELY platform.

Bang Zheng, John Tazare, Linda Nab, Amelia Ca Green, Helen J Curtis, Viyaasan Mahalingasivam, Emily L Herrett, Ruth E Costello, Rosalind M Eggo, Victoria Speed and 15 more

Open access · goldAbstract read
In one paragraph

Article in The Lancet regional health. Europe, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
4.1field-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

16 citing papers in PubMed, 2 syntheses or guidelines pooled it, 21 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

25 authors at 3 institutions in 1 country.

Bang ZhengLondon School of Hygiene and Tropical Medicine, Keppel Street, London WC1E 7HT, UK.
John TazareLondon School of Hygiene and Tropical Medicine, Keppel Street, London WC1E 7HT, UK.
Linda NabNuffield Department of Primary Care Health Sciences, Bennett Institute for Applied Data Science, University of Oxford, Oxford OX2 6GG, UK.
Amelia Ca GreenNuffield Department of Primary Care Health Sciences, Bennett Institute for Applied Data Science, University of Oxford, Oxford OX2 6GG, UK.
Helen J CurtisNuffield Department of Primary Care Health Sciences, Bennett Institute for Applied Data Science, University of Oxford, Oxford OX2 6GG, UK.
Viyaasan MahalingasivamLondon School of Hygiene and Tropical Medicine, Keppel Street, London WC1E 7HT, UK.
Emily L HerrettLondon School of Hygiene and Tropical Medicine, Keppel Street, London WC1E 7HT, UK.
Ruth E CostelloLondon School of Hygiene and Tropical Medicine, Keppel Street, London WC1E 7HT, UK.
Rosalind M EggoLondon School of Hygiene and Tropical Medicine, Keppel Street, London WC1E 7HT, UK.
Victoria SpeedNuffield Department of Primary Care Health Sciences, Bennett Institute for Applied Data Science, University of Oxford, Oxford OX2 6GG, UK.
Sebastian Cj BaconNuffield Department of Primary Care Health Sciences, Bennett Institute for Applied Data Science, University of Oxford, Oxford OX2 6GG, UK.
Christopher BatesTPP, TPP House, 129 Low Lane, Horsforth, Leeds LS18 5PX, UK.
John ParryTPP, TPP House, 129 Low Lane, Horsforth, Leeds LS18 5PX, UK.
Jonathan CockburnTPP, TPP House, 129 Low Lane, Horsforth, Leeds LS18 5PX, UK.
Frank HesterTPP, TPP House, 129 Low Lane, Horsforth, Leeds LS18 5PX, UK.
Sam HarperTPP, TPP House, 129 Low Lane, Horsforth, Leeds LS18 5PX, UK.
Andrea L SchafferNuffield Department of Primary Care Health Sciences, Bennett Institute for Applied Data Science, University of Oxford, Oxford OX2 6GG, UK.
William J HulmeNuffield Department of Primary Care Health Sciences, Bennett Institute for Applied Data Science, University of Oxford, Oxford OX2 6GG, UK.
Amir MehrkarNuffield Department of Primary Care Health Sciences, Bennett Institute for Applied Data Science, University of Oxford, Oxford OX2 6GG, UK.
Stephen Jw EvansLondon School of Hygiene and Tropical Medicine, Keppel Street, London WC1E 7HT, UK.
Brian MacKennaNuffield Department of Primary Care Health Sciences, Bennett Institute for Applied Data Science, University of Oxford, Oxford OX2 6GG, UK.
Ben GoldacreNuffield Department of Primary Care Health Sciences, Bennett Institute for Applied Data Science, University of Oxford, Oxford OX2 6GG, UK.
Ian J DouglasLondon School of Hygiene and Tropical Medicine, Keppel Street, London WC1E 7HT, UK.
Laurie A TomlinsonLondon School of Hygiene and Tropical Medicine, Keppel Street, London WC1E 7HT, UK.
OpenSAFELY Collaborative
University of Oxford · GBUniversity of London · GBWPP (United Kingdom) · GB

Funding

Medical Research Council MC_PC_20051Medical Research Council MC_PC_20059Medical Research Council MR/W016729/1Wellcome Trust
6 · The paper itself

Abstract

Background: Timely evidence of the comparative effectiveness between COVID-19 therapies in real-world settings is needed to inform clinical care. This study aimed to compare the effectiveness of nirmatrelvir/ritonavir versus sotrovimab and molnupiravir in preventing severe COVID-19 outcomes in non-hospitalised high-risk COVID-19 adult patients during Omicron waves. Methods: With the approval of NHS England, we conducted a real-world cohort study using the OpenSAFELY-TPP platform. Patient-level primary care data were obtained from 24 million people in England and were securely linked with data on COVID-19 infection and therapeutics, hospital admission, and death, covering a period where both nirmatrelvir/ritonavir and sotrovimab were first-line treatment options in community settings (February 10, 2022-November 27, 2022). Molnupiravir (third-line option) was used as an exploratory comparator to nirmatrelvir/ritonavir, both of which were antivirals. Cox proportional hazards model stratified by area was used to compare the risk of 28-day COVID-19 related hospitalisation/death across treatment groups. Findings: A total of 9026 eligible patients treated with nirmatrelvir/ritonavir (n = 5704) and sotrovimab (n = 3322) were included in the main analysis. The mean age was 52.7 (SD = 14.9) years and 93% (8436/9026) had three or more COVID-19 vaccinations. Within 28 days after treatment initiation, 55/9026 (0.61%) COVID-19 related hospitalisations/deaths were observed (34/5704 [0.60%] treated with nirmatrelvir/ritonavir and 21/3322 [0.63%] with sotrovimab). After adjusting for demographics, high-risk cohort categories, vaccination status, calendar time, body mass index and other comorbidities, we observed no significant difference in outcome risk between nirmatrelvir/ritonavir and sotrovimab users (HR = 0.89, 95% CI: 0.48-1.63; P = 0.698). Results from propensity score weighted model also showed non-significant difference between treatment groups (HR = 0.82, 95% CI: 0.45-1.52; P = 0.535). The exploratory analysis comparing nirmatrelvir/ritonavir users with 1041 molnupiravir users (13/1041 [1.25%] COVID-19 related hospitalisations/deaths) showed an association in favour of nirmatrelvir/ritonavir (HR = 0.45, 95% CI: 0.22-0.94; P = 0.033). Interpretation: In routine care of non-hospitalised high-risk adult patients with COVID-19 in England, no substantial difference in the risk of severe COVID-19 outcomes was observed between those who received nirmatrelvir/ritonavir and sotrovimab between February and November 2022, when Omicron subvariants BA.2, BA.5, or BQ.1 were dominant. Funding: UK Research and Innovation, Wellcome Trust, UK Medical Research Council, National Institute for Health and Care Research, and Health Data Research UK.

Indexed as

Comparative effectivenessCOVID-19PaxlovidReal-world dataSotrovimab

Identifiers

PMID37927438
PMCPMC10624988
OpenAlexW4387435587

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.