Evidence map›Paper›PMID 30204697›Full record

ArticleObstetrics and gynecology2018

Choice of Prophylactic Antibiotics and Surgical Site Infections After Cesarean Delivery.

Tetsuya Kawakita, Chun-Chih Huang, Helain J Landy

Open access · greenAbstract readComparative Study
In one paragraph

Article in Obstetrics and gynecology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 3 pooled it
7.3field-weighted citation impact, top 2% 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

13 citing papers in PubMed, 3 syntheses or guidelines pooled it, 67 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Reducing post-cesarean sepsis: Current best practice in prevention and treatment.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2025
    Article
  6. Observational
  7. Risk Assessment of Surgical Site Infections After Cesarean Delivery in Patients with Gestational Diabetes Cases.Medical science monitor : international medical journal of experimental and clinical research · 2025
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. DocumentedInfectious diseases in obstetrics and gynecology · 2022
    Article
  13. Penicillin Allergy Delabeling: A Multidisciplinary Opportunity.The journal of allergy and clinical immunology. In practice · 2020
    Review
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

3 authors at 2 institutions in 1 country.

Tetsuya KawakitaObstetrics and Gynecology, MedStar Washington Hospital Center, Washington, DC; the Department of Biostatistics and Epidemiology, MedStar Health Research Institute, Hyattsville, Maryland; and Georgetown-Howard Universities Center for Clinical and Translational Science and Obstetrics and Gynecology, MedStar Georgetown University Hospital, Washington, DC.
Chun-Chih Huang
Helain J Landy
MedStar Health · USMedStar Washington Hospital Center · US

Funding

Maternal Morbidity and Mortality: Risk Factors, Early Detection and Personalized InterventionUL1TR001409 · NCATS · GEORGETOWN UNIVERSITY · PI GONDRE-LEWIS, MARJORIE C, MELLMAN, THOMAS A · 2015 to 2024
$37.8M
Intramural NIH HHS Z99 HD999999NCATS NIH HHS UL1 TR001409
6 · The paper itself

Abstract

objectiveTo examine the rate of surgical site infection according to the choice of antibiotics in women undergoing cesarean delivery.

methodsWe conducted a retrospective cohort study of women undergoing cesarean delivery (labored, unlabored, and scheduled) from 2012 to 2017. Women with chorioamnionitis and those who did not receive any antibiotics were excluded. Our primary outcome was defined a priori as a composite of cellulitis, endometritis, deep wound infection, abdominopelvic abscess, and sepsis. Outcomes were examined according to the choice of antibiotics: cefazolin, a standard alternative (both clindamycin and gentamicin), and inappropriate alternatives (such as clindamycin only). A multivariable logistic regression model was used to calculate the propensity score for each observation, which was the probability of receiving a particular antibiotic regimen. The propensity score-adjusted logistic regression models were conducted to calculate adjusted odds ratios (ORs) and 95% CIs. Firth's penalized likelihood approach was applied to address issues of rare events.

resultsAmong 6,584 selected women, 6,163 (93.6%), 274 (4.2%), and 147 (2.2%) received cefazolin, a standard alternative, and inappropriate alternatives, respectively. Use of standard alternative antibiotics compared with cefazolin was not associated with increased odds of the primary outcome (crude OR 1.50 [0.92-2.46]; adjusted OR 1.63 [0.97-2.60]) but was associated with increased odds of cellulitis (crude OR 2.07 [1.16-3.70]; adjusted OR 1.93 [1.03-3.31]). Use of inappropriate alternative antibiotics compared with cefazolin was associated with increased odds of the primary outcome (crude OR 4.37 [2.80-6.83]; adjusted OR 4.13 [2.59-6.36]) as well as some components of the composite outcome such as endometritis before discharge (crude OR 6.85 [3.94-11.90]; adjusted OR 6.68 [3.69-11.44]) and cellulitis (crude OR 3.36 [1.78-6.34]; adjusted OR 3.23 [1.63-5.81]).

conclusionBoth standard alternative and inappropriate alternatives were associated with increased odds of surgical site infections compared with cefazolin.

Indexed as

Antibiotic ProphylaxisAdultAnti-Bacterial AgentsCefazolinCesarean SectionFemaleHumansPregnancyRetrospective StudiesSurgical Wound InfectionYoung AdultAnti-Bacterial AgentsCefazolin

Identifiers

PMID30204697
PMCPMC6353631
OpenAlexW2895260538

What OpenQuestion holds

Textmetadata
LicenceTDM
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.