Initial clinical experience with simple orchiectomy procedures in the context of transition-related surgeries
Bibliographic record
Abstract
Background: One of the more common procedures conducted through the transition-related surgeries (TRSs) program is simple orchiectomy. Due to the relative novelty of TRS in Canada, national perioperative guidelines for simple orchiectomy in the context of TRS are yet to be developed. Furthermore, there is a void in the literature describing the indications and outcomes of simple orchiectomy among transgender individuals.Aims: This study is the first descriptive case series in Canada highlighting our experience with simple orchiectomy in the context of TRS.Methods: This study retrospectively assessed data from electronic patient medical records of 16 patients who had simple orchiectomy procedures at Women’s College Hospital in Toronto, Canada from August 2018 to April 2019. Data were collected using a standardized data collection form which includes patient baseline demographic data, and objective and subjective clinical outcomes.Results: Mean age at surgery was 32.6 ± 10.4 years and mean time to surgery following the initial approval of referral was 9.9 ± 8.5 weeks. A majority of referrals (n = 13, 81.3%) were from urban areas with specialized TRS services. The average time on hormones was 3.1 ± 1.9 years. In terms of post-surgical complications at the 30-day day follow-up visit, there was a single post-operative sperm granuloma reported. There were no other complications identified post-surgery in our patient case series.Discussion: In Ontario, the growing recognition of the benefits of TRS has led to the development of a publicly funded pathway to TRS surgery. This study is the first assessment of simple orchiectomy performed for TRS in Canada, and it has shown that the procedure is safe and reproducible. Due to its benefits, coordinating safe and efficient access of care for this procedure should be an important action item for health systems. This study is limited by its low sample size.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 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) | 0.003 | 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".