Fibroid in pregnancy: characteristics, complications, and management
Bibliographic record
Abstract
Fibroid in pregnancy is common in clinical obstetric practice. The topic is becoming more relevant in contemporary obstetrics due to the demographic shift towards delayed childbearing, the rising rate of obesity, and many pregnancies occurring after the treatment of fibroids. However, there are conflicting reports in the literature on many so-called fibroid complications in pregnancy, and there are inadequate data on the optimum management strategy. An evidence base is lacking on the pregnancy outcome of many conventional and newer treatment modalities of fibroids. This review addresses the characteristics and behaviour of fibroids during pregnancy, their incidence and demography, diagnosis, the complications that can arise during pregnancy and their antenatal management, the labour pattern, mode of delivery and the postpartum course, with critical appraisal of the literature together with certain special situations such as pregnancy after various types of myomectomy and uterine arterial embolisation.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".