Evidence map›Paper›PMID 41001180›Full record

ArticleO&G open2025

Comparing Antibiotic Regimens for Preventing Infections After Planned Cesarean Delivery.

Daniel Gabbai, Itamar Gilboa, Anat Lavie, Yariv Yogev, Emmanuel Attali

Abstract read
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Article in O&G open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

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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

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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

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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.

Daniel GabbaiLis Hospital for Women's Health, Tel Aviv Sourasky Medical Center, and Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
Itamar GilboaLis Hospital for Women's Health, Tel Aviv Sourasky Medical Center, and Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
Anat LavieLis Hospital for Women's Health, Tel Aviv Sourasky Medical Center, and Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
Yariv YogevLis Hospital for Women's Health, Tel Aviv Sourasky Medical Center, and Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
Emmanuel AttaliLis Hospital for Women's Health, Tel Aviv Sourasky Medical Center, and Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo compare the efficacy of two antibiotic regimens (cefazolin vs clindamycin plus gentamicin) for preventing infectious complications after planned cesarean delivery.

methodsA retrospective cohort study was conducted at a tertiary university-affiliated medical center between 2012 and 2023. All women undergoing planned cesarean delivery were included and divided into two groups: The standard regimen group (control) was treated with cefazolin, and the study group, consisting of women with reported severe penicillin allergies or cephalosporin allergies, was treated with a clindamycin plus gentamicin regimen. Maternal and neonatal outcomes were analyzed with multivariate logistic regression. The primary outcome was the need for inpatient antibiotic treatment; the secondary outcome was readmission for obstetric or gynecologic complications.

resultsDuring the study period, 145,883 deliveries occurred in our department, of which 17,693 (12.1%) were by planned cesarean deliveries. Among these, 10,588 women (94.1%) received cefazolin, and 658 women (5.9%) received clindamycin plus gentamicin. Infectious complications were less frequent in the control group. The need for inpatient antibiotic treatment was 5.9% in the cefazolin group compared with 15.2% in the clindamycin plus gentamicin group (

conclusionCefazolin may be more effective than clindamycin plus gentamicin in preventing infectious complications after planned cesarean delivery. This study emphasizes the importance of careful assessment of β-lactam allergies to guide optimal antibiotic choices. For women allergic to standard regimens, alternative strategies should be considered to reduce postoperative infections and complications.

Identifiers

PMID41001180
PMCPMC12456489

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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.