Pregnancy Complications After Hysteroscopic Metroplasty: A Ten-Year Case-Control Study
Bibliographic record
Abstract
INTRODUCTION: Septate uterus is one of the most common congenital uterine anomalies and it may effect female reproductive health causing different obstetric complications, in particular miscarriages and reduction of fertility. MATERIALS AND METHODS: We conducted a retrospective case-control (1:4) comparative study (Canadian Task Force Classification II-2) with the purpose to evaluate pregnancy complications (abnormal fetal presentations, preterm deliveries, and caesarean sections) and reproductive outcome after hysteroscopic metroplasty. We studied retrospectively two groups: 62 women that delivered after metroplasty (group A); and a control group of 248 women with no history of hysteroscopic metroplasty that delivered in the same period in our hospital (group B). RESULTS: The rate of abnormal fetal presentations was significantly higher in study group A versus control group B (22.58% [14/62] vs. 4.03% [10/248], p<0.0001). Caesarean section rate was significantly higher in group A versus group B (66.12% [41/62] vs. 35.08% [87/248], p<0.0001), and preterm deliveries rate was significantly higher in group A versus group B (14.51% [9/62] vs. 6.45% [16/248], p= 0.037). Furthermore, in group A, we observed a significant reduction of the abortion rate and an increase in the total number of live births after metroplasty. CONCLUSIONS: In our series of cases, we have observed a high rate of some pregnancy complications after metroplasty compared to the general population, such as preterm deliveries and fetal malpresentations with a higher rate of caesarean sections. Hysteroscopic metroplasty has been proven to improve the overall reproductive outcome by reducing miscarriage rate and increasing live birth rate. In our opinion, benefits obtained after metroplasty must be considered greater than the adverse pregnancy outcomes observed with our series.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".