Gender‐affirming care in urology: emergency care of the gender‐affirming surgical patient—what the primary urologist needs to know
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
OBJECTIVE: To present a narrative review of fundamental information needed to manage postoperative complications in patients who have undergone genital gender-affirming surgery (GAS). METHODS: A narrative review was performed using the following keywords: 'gender-affirming surgery', 'complications', 'emergency', 'postoperative'. Articles were included after being reviewed by two primary authors for relevance. Four clinicians with significant experience providing both primary and ongoing urological care to patients after GAS were involved in article selection and analysis. RESULTS: The most common feminising genital GAS performed is a vaginoplasty. The main post-surgical complications seen by urologists include wound healing complications, voiding dysfunction, postoperative bleeding, vaginal stenosis, acute vaginal prolapse and graft loss, rectovaginal fistula, and urethrovaginal fistula. The most common masculinising genital GAS options include metoidioplasty and phalloplasty. Complications for these surgeries include urethral strictures, urethral fistulae, and urethral diverticula. Penile implants may also accompany phalloplasties and their complications include infection, erosion, migration, and mechanical failure. CONCLUSION: Genital GAS is increasing, yet there are still many barriers that individuals face not only in accessing the surgeries, but in receiving follow-up care critical for optimal outcomes. Improved education and training programmes would be helpful to identify and manage postoperative complications. Broader cultural level changes are also important to ensure a safe, gender-inclusive environment for all patients.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| 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