Evidence map›Paper›PMID 37115780›Full record

ArticlePloS one2023

Lack of effectiveness of Bebtelovimab monoclonal antibody among high-risk patients with SARS-Cov-2 Omicron during BA.2, BA.2.12.1 and BA.5 subvariants dominated era.

Srilekha Sridhara, Ahmet B Gungor, Halil K Erol, Mohanad Al-Obaidi, Tirdad T Zangeneh, Edward J Bedrick, Venkatesh K Ariyamuthu, Aneesha Shetty, Abd A Qannus, Katherine Mendoza and 3 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 pooled it
1.9field-weighted citation impact, top 14% 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

6 citing papers in PubMed, 2 syntheses or guidelines pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Review
  6. 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

13 authors at 3 institutions in 1 country.

Srilekha SridharaDivision of Nephrology, College of Medicine, The University of Arizona, Tucson, Arizona, United States of America.
Ahmet B GungorDivision of Nephrology, The Banner University Medical Center, Tucson, Arizona, United States of America.
Halil K ErolDivision of Nephrology, College of Medicine, The University of Arizona, Tucson, Arizona, United States of America.ORCID 0000-0001-5760-4276
Mohanad Al-ObaidiDivision of Infectious Diseases, College of Medicine, The University of Arizona, Tucson, Arizona, United States of America.
Tirdad T ZangenehDivision of Infectious Diseases, College of Medicine, The University of Arizona, Tucson, Arizona, United States of America.
Edward J BedrickDepartment of Epidemiology and Biostatistics, College of Public Health, The University of Arizona, Tucson, Arizona, United States of America.
Venkatesh K AriyamuthuDivision of Nephrology, College of Medicine, The University of Arizona, Tucson, Arizona, United States of America.
Aneesha ShettyDivision of Nephrology, College of Medicine, The University of Arizona, Tucson, Arizona, United States of America.
Abd A QannusDivision of Nephrology, College of Medicine, The University of Arizona, Tucson, Arizona, United States of America.
Katherine MendozaDivision of Nephrology, College of Medicine, The University of Arizona, Tucson, Arizona, United States of America.ORCID 0000-0001-9618-2336
Sangeetha MurugapandianDivision of Nephrology, College of Medicine, The University of Arizona, Tucson, Arizona, United States of America.ORCID 0000-0002-9145-5283
Gaurav GuptaDivision of Nephrology, Virginia Commonwealth University, Richmond, Virginia, United States of America.
Bekir TanrioverDivision of Nephrology, College of Medicine, The University of Arizona, Tucson, Arizona, United States of America.ORCID 0000-0002-2378-9302
University of Arizona · USBanner - University Medical Center Tucson · USVirginia Commonwealth University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Omicron subvariants are expected to be resistant to Bebtelovimab (BEB) monoclonal antibody (MAb) and the real-world experience regarding its effectiveness is scarce. This retrospective cohort study reports a data analysis in Banner Healthcare System (a large not-for-profit organization) between 4/5/2022 and 8/1/2022 and included 19,778 Coronavirus disease-19 (COVID-19) positive (by PCR or direct antigen testing) patients who were selected from Cerner-Electronic Health Record after the exclusions criteria were met. The study index date for cohort was determined as the date of BEB MAb administration or the date of the first positive COVID-19 testing. The cohort consist of COVID-19 infected patients who received BEB MAb (N = 1,091) compared to propensity score (PS) matched control (N = 1,091). The primary composite outcome was the incidence of 30-day all-cause hospitalization and/or mortality. All statistical analyses were conducted on the paired (matched) dataset. For the primary composite outcome, the event counts and percentages were reported. Ninety-five percent Clopper-Pearson confidence intervals for percentages were computed. The study cohorts were 1:1 propensity matched without replacement across 26 covariates using an optimal matching algorithm that minimizes the sum of absolute pairwise distance across the matched sample after fitting and using logistic regression as the distance function. The pairs were matched exactly on patient vaccination status, BMI group, age group and diabetes status. Compared to the PS matched control group (2.6%; 95% confidence interval [CI]: 1.7%, 3.7%), BEB MAb use (2.2%; 95% CI: 1.4%, 3.3%) did not significantly reduce the incidence of the primary outcome (p = 0.67). In the subgroup analysis, we observed similar no-difference trends regarding the primary outcomes for the propensity rematched BEB MAb treated and untreated groups, stratified by patient vaccination status, age (<65 years or ≥65), and immunocompromised status (patients with HIV/AIDS or solid organ transplants or malignancy including lymphoproliferative disorder). The number needed to treat (1/0.026-0.022) with BEB MAb was 250 to avoid one hospitalization and/or death over 30 days. The BEB MAb use lacked efficacy in patients with SARS-CoV-2 Omicron subvariants (mainly BA.2, BA.2.12.1, and BA.5) in the Banner Healthcare System in the Southwestern United States.

Indexed as

COVID-19SARS-CoV-2AgedAntibodies, MonoclonalAntibodies, NeutralizingCOVID-19 TestingHumansRetrospective StudiesAntibodies, MonoclonalAntibodies, Neutralizingbebtelovimab

Identifiers

PMID37115780
PMCPMC10146441
OpenAlexW4367309455

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.