Dysmenorrhea in young people: Experiences from a tertiary center with a focus on conservative management
Bibliographic record
Abstract
AIM: To describe the characteristics, management and outcomes of a cohort of young people with dysmenorrhea presenting to a tertiary adolescent gynecology service, managed primarily with medical interventions. METHODS: A retrospective cohort study was conducted at the Royal Children's Hospital in Melbourne, Australia. Data were collected from medical records of patients presenting with dysmenorrhea and/or pelvic pain. RESULTS: Of 154 patients, mean age of presentation was 15.7 years (SD = 2.2) and mean duration of pain was 14.9 months (SD = 10.8). Regular cycles were reported by 64.5%, and heavy menstrual bleeding (HMB) in 67.8%. Patients self-reporting HMB reported less pain on the day prior to menses than those not reporting HMB (P < 0.005). At follow-up, therapeutic interventions included nonsteroidal anti-inflammatory drugs, tranexamic acid and cyclic or continuous combined oral contraceptive pills. Laparoscopies were undertaken in 12 (8.1%) patients, with normal findings in 8 (66.7%). Secondary dysmenorrhea was identified in 10 patients: of these, endometriosis was identified in one patient and unilateral obstructive Müllerian anomalies in six. Overall, 92.2% of patients had improvement in symptoms after treatment. CONCLUSION: Laparoscopy and endometriosis rates in patients presenting to a tertiary center were lower than previously reported, with most patients achieving symptom improvement without laparoscopy.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".