P13.04: Long term follow up of ovarian volume after uterine artery embolization
Bibliographic record
Abstract
To estimate the change in ovarian volume after uterine artery embolization for fibroid uterus. Women presenting for uterine artery embolization were followed for up to three years. These women had baseline ultrasound examinations which included uterine size, fibroid number and volume, endometrial echo and ovarian volume. These women were followed yearly with pelvic ultrasound to determine shrinkage of uterine myomas and to assess ovarian volume. Mean ovarian volumes (cm) were compared at 1 and 3 years to the baseline exam by means of a paired t-test. Only those subject with complete measurements were compared. The mean age of the cohort was 43 (SD = 5.2) years of age with an average gravidity of 1 (SD = 1). Data was complete for 51 women at 1 year and 21 women at 3 years. The mean left ovarian volume (cm) at baseline, 1 year and 3 years was 11.2, 8.7, 14 (p = 0.92). The mean right ovarian volume (cm3) at baseline, 1 year and 3 years was 11.1, 10.1 and 6.2. (p = 0.08). There were significant correlations in ovarian volume from baseline to each subsequent measurement with the exception of the left ovary between baseline and 3 year follow-up. There is no significant change in ovarian volume in 3 year follow-up of women who underwent uterine artery embolization for fibroid uterus. This suggests that there is ample collateral circulation to the ovaries form the ovarian artery which sustains ovarian mass.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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".