Endocrine complications following pediatric bone marrow transplantation
Bibliographic record
Abstract
Pediatric bone marrow transplantation (BMT) for various diseases can lead to endocrine system dysfunction owing to preparative regimens involving chemotherapy and radiation therapy. We assessed the prevalence of post-BMT endocrine complications in children treated at the Alberta Children's Hospital (ACH) from 1991 to 2001. Time of onset of endocrine dysfunction, underlying disease processes, chemotherapy, radiation therapy and age at BMT were characterized. Subjects of <18 years of age at the time of allogeneic or autologous BMT for whom 1-year follow-up through the ACH and a chart were available for review were included in the study. Subjects with a pre-existing endocrine condition were excluded. Of the 194 pediatric BMT procedures performed at the ACH between January 1, 1991 and December 31, 2001, 150 complete charts were available for review. Sixty five subjects received follow-up care at other centers and were excluded. Therefore, a total of 85 subjects were included in the review. The prevalence of endocrine complications identified was: primary hypothyroidism 1.2%, compensated hypothyroidism 7.0%, hyperthyroidism 2.4%, hypergonadotrophic hypogonadism 22.4%, abnormal bone density 2.4%, and secondary diabetes mellitus 1.2%. These findings emphasize the need to screen for endocrine system dysfunction, particularly hypergonadotrophic hypogonadism, in children who have undergone BMT. Children need long-term follow-up so that endocrine complications can be diagnosed and treated promptly.
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".