The Effect of Loop Electrosurgical Excision Procedure on Future Pregnancy Outcome
Bibliographic record
Abstract
OBJECTIVE: To estimate whether the loop electrosurgical excision procedure (LEEP) is associated with an adverse effect on the outcome of subsequent pregnancies. METHODS: A retrospective cohort study was performed. The study group comprised women who had a LEEP in Halifax County between 1992 and 1999 and then had a subsequent singleton pregnancy of greater than 20 weeks of gestation with delivery at the IWK Health Centre in Halifax, Nova Scotia. The comparison group comprised women with no history of cervical surgery who were matched for age, parity, smoking status, and year of delivery. There were 571 women in each group. The primary outcome was rate of preterm delivery at less than 37 weeks of gestation. Secondary outcomes included delivery at less than 34 weeks and various neonatal and maternal outcomes. The effect of specific LEEP characteristics was analyzed separately. RESULTS: Women who had a LEEP were more likely to deliver preterm overall (7.9% versus 2.5%; odds ratio [OR] 3.50, 95% confidence interval [CI] 1.90-6.95; P < .001) and to deliver preterm after premature rupture of membranes (PROM) (3.5% versus 0.9%; OR 4.10, 95% CI 1.48-14.09). The increase in delivery at less than 34 weeks was not statistically significant (1.25% versus 0.36%; OR 3.50, 95% CI 0.85-23.49; P = .12). Women with LEEP also delivered more low birth weight (LBW) infants (5.4% versus 1.9%; OR 3.00, 95% CI 1.52-6.46; P = .003). There were no differences in other neonatal or maternal outcomes. No association was found between the characteristics of the LEEP, including depth, and the rate of preterm delivery. CONCLUSION: Loop electrosurgical excision procedure is associated with an increased risk of overall preterm delivery, preterm delivery after PROM, and LBW infants in subsequent pregnancies at greater than 20 weeks of gestation. Women who are considering future pregnancies should be counseled about these risks during informed consent for LEEP. LEVEL OF EVIDENCE: II-2.
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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 | 0.001 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".