Timing of administration of prophylactic antibiotics for caesarean section: a systematic review and meta‐analysis
Bibliographic record
Abstract
BACKGROUND: Prophylactic antibiotics reduce infectious morbidity from caesarean section. The timing of their administration, however, is a matter of controversy. OBJECTIVES: To examine maternal and neonatal infectious morbidity in women receiving preoperative prophylaxis compared with those receiving intraoperative administration. SEARCH STRATEGY: Medline, Embase, Current Controlled Trials and Cochrane Central were searched from their inception dates to December 2011. SELECTION CRITERIA: Randomised controlled trials of a single dose of any antibiotic comparing preoperative with intraoperative administration were selected. DATA COLLECTION AND ANALYSIS: Trial characteristics, outcomes and quality measures, based on the Cochrane tool for risk of bias, were independently extracted. The random effect model of DerSimonian and Laird to estimate relative risks (RRs) for maternal and neonatal outcomes was used. MAIN RESULTS: Six trials met the inclusion criteria, reporting on 2313 women and 2345 newborns. Preoperative administration was associated with a significant 41% reduction in the rate of endometritis compared with intraoperative administration (RR 0.59; 95% confidence interval [95% CI] 0.37-0.94; I2 0%). In the preoperative group, there were nonsignificant reductions in the rates of wound infection (RR 0.71; 95% CI 0.44-1.14; I2 0%), maternal febrile morbidity (RR 0.94; 95% CI 0.46-1.95; I2 0%), neonatal sepsis (RR 0.81; 95% CI 0.47-1.41; I2 0%), neonatal septic work-up (RR 0.93; 95% CI 0.71-1.21; I2 0%) and neonatal intensive-care unit admission (RR 0.92; 95% CI 0.65-1.28; I2 0%). There were nonsignificant increases in the rates of maternal pyelonephritis (RR 1.09; 95% CI 0.49-2.43; I2 0%) and neonatal pneumonia (RR 3.36; 95% CI 0.55-20.47; I2 0%). CONCLUSIONS: Compared with intraoperative administration, preoperative antibiotics significantly reduce the rate of endometritis. The lack of neonatal adverse effects should be cautiously interpreted given the limited power of the trials to detect such effects.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.013 | 0.039 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.021 | 0.032 |
| Bibliometrics | 0.006 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".