Utility of Head and Neck Biopsies in the Evaluation of Posttransplant Lymphoproliferative Disorder
Bibliographic record
Abstract
OBJECTIVE: To determine the diagnostic yield of head and neck biopsies in the evaluation of PTLD in children and to explore whether this yield was related to pretransplant Epstein-Barr virus (EBV) serostatus. STUDY DESIGN: This is a retrospective study of pediatric, post-solid-organ transplant recipients who have undergone a biopsy in the head and neck region to establish a diagnosis of PTLD. RESULTS: Fifty-six biopsies were performed in 46 patients four to 120 months after solid-organ transplantation. Biopsies yielded PTLD in 39.1% of patients. The odds of developing PTLD if a patient was seropositive for EBV at the time of transplantation was 0.26 (95% confidence interval, 0.064-1.056; P = 0.054). CONCLUSIONS: The high diagnostic yield of PTLD suggests that biopsies should be performed if PTLD is suspected in pediatric posttransplant patients. The results demonstrate a trend toward lower risk of PTLD among patients with pretransplant exposure to EBV.
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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 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".