Reproductive outcomes of patients with T-Shaped and septate uterus following metroplasty: an observational study.
Bibliographic record
Abstract
INTRODUCTION: Uterine malformations are common and may contribute to infertility and adverse pregnancy outcomes. After an accurate diagnosis, correcting the abnormal uterine morphology is the main goal to optimize reproductive outcomes. The principal objective of this study was to assess the impact of metroplasty for T-shaped (U1a) and septate uteri (U2) on live birth rates in infertile patients. METHODS: This was a prospective observational study of infertile women with either U1a or U2 uterine anomaly. Patients with unexplained infertility and repeated (IVF/ICSI) failure were included. Hysteroscopic metroplasty was performed by a single experienced surgeon. Fertility outcomes of all cases were evaluated prospectively evaluated. The main outcome parameter was a live birth rate either achieved spontaneously or with assisted conception. RESULTS: A total of 48 patients were included in U1a group and bilateral longitudinal uterine-lateral wall incision was carried out. A total of 63 patients were included in the U2 group and septum incision was carried out, 60 out of these 63 patients with U2 uterine anomaly required further lateral wall incision during septoplasty. During the first 12 months following surgery, nearly half of the patients in both groups achieved spontaneous pregnancy; 45% in the U1a group and 39% in the U2 group delivered at term. CONCLUSIONS: Hysteroscopic metroplasty offers promising reproductive outcomes in the presence of U1a and U2 uterine anomalies for those with unexplained infertility and repeated IVF/ICSI failures. In addition, uterine septum cases should be carefully evaluated intra-operatively to detect and repair concurrent lateral uterine wall anomalies.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".