A Call-to-Action for Clinicians to Implement Evidence-Based Best Practices When Caring for Women with Uterine Fibroids
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Uterine fibroids are common benign tumors that occur in up to 80% of women. Approximately half of the women affected experience considerable physical, psychological, and economic burdens and impact on quality of life due to symptoms such as heavy menstrual bleeding, pelvic pain, and infertility. Several medical and surgical options are available to treat uterine fibroids; however, healthcare providers may benefit from practical guidance in the development of individualized treatment plans based on a personalized approach. Medical treatments and minimally invasive procedures are generally preferred by most patients before considering more invasive, higher risk surgical interventions. In general, patient-centered, uterine-preserving procedures may be prioritized based on the patient's goals and the clinical scenario. Occasionally, hysterectomy may be the preferred treatment option for some patients who require definitive treatment. This call-to-action highlights recent challenges to patient care, including radical shifts in physician-patient interactions due to the COVID-19 pandemic and recent changes to evidence-based, clinically approved therapies. This report also reviews contemporary recommendations for women's health providers in the diagnosis and medical and surgical management of uterine fibroids. This call-to-action aims to empower healthcare providers to optimize the quality of care for women with uterine fibroids utilizing the best available evidence and best practices.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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 | 0.001 | 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