Characteristics of Adolescents Referred to a Gender Clinic: Are Youth Seen Now Different from Those in Initial Reports?
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
BACKGROUND/AIMS: To examine characteristics, including mental health comorbidities, among adolescents presenting to a transgender clinic and to compare these data to previous reports. METHODS: Retrospective chart review among youth seen at The Hospital for Sick Children between January 2014 and June 2016. Demographic data, clinical characteristics, and mental health comorbidities were assessed. Baseline and repeat blood work were also examined. RESULTS: Charts from 203 adolescents aged 12-18 years were reviewed (156 assigned female at birth [AFAB] (77%) aged 16.3 ± 1.63 years, 47 assigned male at birth [AMAB] aged 16.1 ± 1.70 years). There was no statistically significant difference between gender groups except for Tanner stage (AFAB, mean 4.42 ± 0.8 and AMAB, mean 4.03 ± 1.1, p = 0.040). Individuals from racial/ethnic minority populations were under-represented compared to the background population. Self-report and baseline psychological questionnaires showed high levels of gender dysphoria, mood disorders, and suicidal ideation, with higher levels of anxiety detected on questionnaires among AFAB (p = 0.03). Laboratory abnormalities identified on baseline and repeat testing were minor; on cross-sex hormones, hemoglobin levels increased slightly in AFAB (p = 0.002, highest = 166 g/L) and decreased among AMAB (p = 0.02, lowest = 132 g/L). CONCLUSION: Our study supports an evolving demographic trend with more AFAB than AMAB youth now presenting to gender clinics. The data also corroborate studies indicating that extensive laboratory testing may not be a necessary part of caring for these youths. Why more AFAB are now presenting to clinic and racial/ethnic minorities are underrepresented is not clear, but these trends have important implications for clinical care and warrant further study.
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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