Considerations in gender-affirming hormone therapy in transgender and gender diverse patients undergoing liver transplantation
Bibliographic record
Abstract
Liver transplantation is lifesaving for patients with end-stage liver disease. Similar to the role of transplantation for patients with end-stage liver disease, gender-affirming hormone therapy (GAHT) can be lifesaving for transgender and gender diverse (TGGD) patients who experience gender dysphoria. However, management of such hormone therapy during the perioperative period is unknown and without clear guidelines. Profound strides can be made in improving care for TGGD patients through gender-affirming care and appropriate management of GAHT in liver transplantation. In this article, we call for the transplant community to acknowledge the integral role of GAHT in the care of TGGD liver transplant candidates and recipients. We review the current literature and describe how the transplant community is ethically obligated to address this health care gap. We suggest tangible steps that clinicians may take to improve health outcomes for this minoritized patient population.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| 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".