Why this work is in the frame
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Bibliographic record
Abstract
OBJECTIVES: To investigate the change in symptom severity and health-related quality of life among patients treated with uterine artery embolization for leiomyomata. METHODS: Using the Fibroid Registry for Outcomes Data (FIBROID), a multicenter, prospective, voluntary registry of patients undergoing uterine embolization for leiomyomata, we studied changes in symptom status, health-related quality of life, subsequent care, menstrual status, and satisfaction with outcome. Health-related quality-of-life and symptom status were measured using the Uterine Fibroid Symptom and Quality of Life, a leiomyoma-specific questionnaire. Summary statistics were used to describe the data set and multivariate analyses to determine predictors of outcome at 12 months. RESULTS: Of 2,112 eligible patients, follow-up data were obtained on 1,797 (85.1%) at 6 months and 1,701 (80.5%) at 12 months. At 12 months, the mean symptom score had improved from 58.61 to 19.23 (P < .001), whereas 5.47% of patients had no improvement. The mean health-related quality-of-life score improved from 46.95 to 86.68 (P < .001), whereas 5.0% did not improve. In the first year after embolization, hysterectomy was performed in 2.9% of patients, with 3.6% requiring gynecologic interventions by 6 months and an additional 5.9% between 6 and 12 months. Amenorrhea as a result of embolization occurred in 7.3% of patients. Of these, 86% were age 45 or older. Most patients were satisfied with their outcome (82% strongly agree or agree). Predictors of a greater symptom change score include smaller leiomyoma size, submucosal location, and presenting symptom of heavy menstrual bleeding. CONCLUSION: Uterine embolization results in substantial symptom improvement for most patients, with hysterectomy required in only 2.9% of patients in the first 12 months after therapy.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 |
| 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 it