Evidence map›Paper›PMID 35576581›Full record

Observational studyThe Journal of infectious diseases2022

Real-World Evidence of the Neutralizing Monoclonal Antibody Sotrovimab for Preventing Hospitalization and Mortality in COVID-19 Outpatients.

Neil R Aggarwal, Laurel E Beaty, Tellen D Bennett, Nichole E Carlson, Christopher B Davis, Bethany M Kwan, David A Mayer, Toan C Ong, Seth Russell, Jeffrey Steele and 4 more

Open access · bronzeAbstract readObservational Study
In one paragraph

Observational study in The Journal of infectious diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 3 pooled it
5.4field-weighted citation impact, top 3% 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

37 citing papers in PubMed, 3 syntheses or guidelines pooled it, 53 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors at 4 institutions in 1 country.

Neil R AggarwalDepartment of Medicine, University of Colorado School of Medicine, Aurora, Colorado, USA.ORCID 0000-0002-0922-8824
Laurel E BeatyDepartment of Biostatistics and Informatics, Colorado School of Public Health, Aurora, Colorado, USA.
Tellen D BennettSection of Informatics and Data Science, Department of Pediatrics, University of Colorado School of Medicine, Aurora, Colorado, USA.
Nichole E CarlsonDepartment of Biostatistics and Informatics, Colorado School of Public Health, Aurora, Colorado, USA.
Christopher B DavisDepartment of Emergency Medicine, University of Colorado School of Medicine, Aurora, Colorado, USA.
Bethany M KwanDepartment of Emergency Medicine, University of Colorado School of Medicine, Aurora, Colorado, USA.
David A MayerDepartment of Biostatistics and Informatics, Colorado School of Public Health, Aurora, Colorado, USA.
Toan C OngSection of Informatics and Data Science, Department of Pediatrics, University of Colorado School of Medicine, Aurora, Colorado, USA.
Seth RussellSection of Informatics and Data Science, Department of Pediatrics, University of Colorado School of Medicine, Aurora, Colorado, USA.
Jeffrey SteeleResearch Informatics, Children's Hospital Colorado, Aurora, Colorado, USA.
Adane F WoguDepartment of Biostatistics and Informatics, Colorado School of Public Health, Aurora, Colorado, USA.
Matthew K WyniaDepartment of Medicine, University of Colorado School of Medicine, Aurora, Colorado, USA.
Richard D ZaneDepartment of Emergency Medicine, University of Colorado School of Medicine, Aurora, Colorado, USA.
Adit A GindeDepartment of Emergency Medicine, University of Colorado School of Medicine, Aurora, Colorado, USA.
Colorado School of Public Health · USUniversity of Colorado Denver · USUniversity of Colorado Anschutz Medical Campus · USChildren's Hospital Colorado · US

Funding

NIH Prior Approval Process ProfessionalUL1TR002535 · NCATS · UNIVERSITY OF COLORADO DENVER · PI SOKOL, RONALD J. · 2018 to 2022
$51.1M
NCATS NIH HHS UL1 TR002535NIH HHS UL1TR002525
6 · The paper itself

Abstract

backgroundIt is not known whether sotrovimab, a neutralizing monoclonal antibody (mAb) treatment authorized for early symptomatic coronavirus disease 2019 (COVID-19) patients, is also effective in preventing the progression of severe disease and mortality following severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Delta variant infection.

methodsIn an observational cohort study of nonhospitalized adult patients with SARS-CoV-2 infection, 1 October 2021-11 December 2021, using electronic health records from a statewide health system plus state-level vaccine and mortality data, we used propensity matching to select 3 patients not receiving mAbs for each patient who received outpatient sotrovimab treatment. The primary outcome was 28-day hospitalization; secondary outcomes included mortality and severity of hospitalization.

resultsOf 10 036 patients with SARS-CoV-2 infection, 522 receiving sotrovimab were matched to 1563 not receiving mAbs. Compared to mAb-untreated patients, sotrovimab treatment was associated with a 63% decrease in the odds of all-cause hospitalization (raw rate 2.1% vs 5.7%; adjusted odds ratio [aOR], 0.37; 95% confidence interval [CI], .19-.66) and an 89% decrease in the odds of all-cause 28-day mortality (raw rate 0% vs 1.0%; aOR, 0.11; 95% CI, .0-.79), and may reduce respiratory disease severity among those hospitalized.

conclusionsReal-world evidence demonstrated sotrovimab effectiveness in reducing hospitalization and all-cause 28-day mortality among COVID-19 outpatients during the Delta variant phase.

Indexed as

COVID-19OutpatientsAdultAntibodies, MonoclonalAntibodies, Monoclonal, HumanizedAntibodies, NeutralizingHospitalizationHumansSARS-CoV-2Antibodies, MonoclonalAntibodies, Monoclonal, HumanizedAntibodies, NeutralizingsotrovimabCOVID-19mortalityoutpatientsreal-world evidencesotrovimab

Identifiers

PMID35576581
PMCPMC10205600
OpenAlexW4280546197

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.