Outpatient hysteroscopy: the Calderdale and Huddersfield experience
Bibliographic record
Abstract
Emmanuel Emovon, Archana Ranganathan, Sreelatha TumulaCalderdale and Huddersfield NHS Trust, Halifax HX3 0PW, UKAim: To audit the outpatient hysteroscopy service at Calderdale and Huddersfield National Health Service Trust in order to improve our services.Methodology: A retrospective audit of all patients referred for outpatient hysteroscopy from April 1, 2008, to June 30, 2008. Patients were identified using a patient administration system and endoscopy register. Analysis of the total number of patients referred, their indications, number of patients eventually referred for a general anesthesia procedure, patient-waiting times from referral, and therapeutic procedures carried out.Results: A total of 234 patients were referred for outpatient hysteroscopy during the period of our study. Most of the patients were aged 40–49 years (63%), and majority of the referrals were for either postmenopausal bleeding (PMB) or intermenstrual/irregular bleeding. There were 97 referrals for PMB: 62 had successful outpatient hysteroscopy; 22 had ultrasound preprocedure, which showed thin endometrium, and therefore hysteroscopy was not carried out; and 13 patients deferred the procedure because of discomfort. In the intermenstrual/irregular bleeding group, hysteroscopy was successful in 94 of 105 patients. Approximately 91.2% of the patients were seen within 8 weeks from referral, and a total of 45 patients were referred for further procedure under general anesthesia.Conclusion: Calderdale and Huddersfield National Health Service Trust has an effective diagnostic outpatient hysteroscopy service; however, there is a need to expand the service to reduce waiting times and incorporate therapeutic procedures into the service such as Versapoint polypectomy and endometrial ablation, which would in turn decrease the number of patients referred for hysteroscopy under general anesthesia.Keywords: outpatient hysteroscopy, abnormal uterine bleeding, gynecology clinic
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".