Evidence map›Paper›PMID 37553188›Full record

ArticleBMJ open2023

Does monoclonal antibody treatment for COVID-19 impact short and long-term outcomes in a large generalisable population? A retrospective cohort study in the USA.

Daniel Griffin, Chace McNeil, James Okusa, Diana Berrent, Yinglong Guo, Sarah E Daugherty

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.6field-weighted citation impact, top 15% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
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

6 authors at 1 institution in 1 country.

Daniel GriffinDepartment of Medicine, Columbia University Vagelos College of Physicians and Surgeons, New York City, New York, USA danielgriffinmd@gmail.com.ORCID 0000-0001-5853-6906
Chace McNeilOptum Health, Eden Prairie, Minnesota, USA.
James OkusaOptum Health, Eden Prairie, Minnesota, USA.
Diana BerrentSurvivor Corps, New York City, New York, USA.
Yinglong GuoOptum Health, Eden Prairie, Minnesota, USA.
Sarah E DaughertyOptum Health, Eden Prairie, Minnesota, USA.
Optum (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo explore whether monoclonal antibodies (MAb) administered to high-risk patients with COVID-19 during the first week of illness prevent postacute sequelae of SARS-CoV-2 infection.

designRetrospective cohort study.

settingUSA.

participantsA sample of 3809 individuals who received MAbs and a matched one-to-one comparison group from a set of 327 079 eligible patients who did not receive MAb treatment were selected from a deidentified administrative data set from commercial and Medicare Advantage health plan enrollees in the USA, including claims and outpatient laboratory data.

resultsIndividuals who received MAb were 28% less likely to be hospitalised (HR=0.72, 95% CI 0.58 to 0.89) and 41% less likely to be admitted to the intensive care unit (HR=0.59, 95% CI 0.38 to 0.89) 30 days from SARS-CoV-2 diagnosis compared with individuals who did not receive MAb. A higher proportion of individuals given MAb therapy received care for clinical sequelae in the postacute phase (p=0.018).

conclusionsWhile MAb therapy was associated with benefits in the acute period, the benefit of therapy did not extend into the postacute period and did not reduce risk for clinical sequelae.

Indexed as

COVID-19AgedAntibodies, MonoclonalCOVID-19 TestingDisease ProgressionHumansMedicareRetrospective StudiesSARS-CoV-2United StatesAntibodies, MonoclonalCOVID-19infectious diseasesvirology

Identifiers

PMID37553188
PMCPMC10414114
OpenAlexW4385647970

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.