Pediatric Transplant and Cellular Therapy Consortium RESILIENT Conference on Pediatric Chronic Graft-versus-Host Disease Survivorship after Hematopoietic Cell Transplantation: Part III. Long-Term Impact of Chronic Graft-versus-Host Disease on Endocrinologic, Cardiovascular, and Metabolic Outcomes in Survivors of Pediatric Hematopoietic Cell Transplantation
Bibliographic record
Abstract
Chronic graft-versus-host disease (cGVHD) has a profound impact on the endocrinologic and cardiovascular health of survivors of transplantation performed in childhood. The impact of cGVHD is long-lasting and contributes to morbidity and early mortality through multiple mechanisms. Organs and tissues may be direct targets of alloreactive donor-derived immune cells. Corticosteroids and other cGVHD-directed therapies influence hormonal actions, alter bone metabolism, and negatively impact cardiometabolic health. Pediatric survivors are particularly vulnerable to the endocrinologic and cardiovascular effects of cGVHD as it develops during periods of intense growth and development, although little is known about the direct contribution to late effects. The Research and Education Toward Solutions for Late Effects to Innovate, Excel, and Nurture after cGVHD (RESILIENT after cGVHD) effort brought together content experts to determine the state of the science, develop clinical recommendations, and propose a research agenda in endocrine, cardiovascular, and metabolic cGVHD survivorship, which are detailed in this report.
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.
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 | 0.020 | 0.012 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.004 | 0.005 |
| Research integrity | 0.008 | 0.009 |
| Insufficient payload (model declined to judge) | 0.008 | 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 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".