Evidence map›Paper›PMID 40547251›Full record

ArticleTherapeutic advances in gastroenterology2025

Real-world use of bezlotoxumab to prevent recurrent

Kanika Sehgal, Parul Berry, Raseen Tariq, Darrell S Pardi, Sahil Khanna

Abstract read
In one paragraph

Article in Therapeutic advances in gastroenterology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Review
  2. 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

5 authors.

Kanika SehgalDivision of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN, USA.ORCID https://orcid.org/0000-0002-0186-3583
Parul BerryDepartment of Internal Medicine, Mayo Clinic, Rochester, MN, USA.ORCID https://orcid.org/0000-0002-0860-4496
Raseen TariqDivision of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN, USA.ORCID https://orcid.org/0000-0001-7586-6691
Darrell S PardiDivision of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN, USA.
Sahil KhannaDivision of Gastroenterology and Hepatology, Mayo Clinic, 200 First St SW, Rochester, MN 55905, USA.ORCID https://orcid.org/0000-0002-7619-8338

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Objectives: To evaluate the real-world effectiveness of BEZ in preventing CDI recurrence through a single-center retrospective cohort and a meta-analysis. Design: A retrospective cohort study and a meta-analysis. Methods: A retrospective study of patients treated with BEZ from 2017 to 2021 was performed at the Mayo Clinic. Demographics, CDI diagnostics, and several prespecified risk factors were analyzed. A literature search was conducted in August 2024 utilizing the Cochrane Central Register of Controlled Trials, Embase, Medline, Scopus, and Web of Science Core Collection. Studies reporting CDI resolution rates with BEZ were included. The random-effects model described by DerSimonian and Laird was used to calculate weighted pooled resolution rates (WPR) with 95% confidence intervals (CI). We assessed heterogeneity with the inconsistency index ( Results: Across 28 studies and our retrospective cohort, 2639 CDI patients were analyzed. Among 1786 patients treated with BEZ, 1450 achieved clinical resolution (WPR: 81.6%, 95% CI 77.2-85.6%), with significant heterogeneity ( Conclusion: Our retrospective study and meta-analysis demonstrate the real-world efficacy of BEZ in reducing CDI recurrence. The higher recurrence rates in our cohort likely reflect the high-risk nature of the population, including a greater proportion of immunocompromised patients.

Indexed as

bezlotoxumabCDIClostridioides difficile infectionClostridioides difficile recurrence preventionmonoclonal antibody therapy

Identifiers

PMID40547251
PMCPMC12182605

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Registered trials

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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.