Risk factors for post‐transplant lymphoproliferative disorder in pediatric patients: A case‐control study
Bibliographic record
Abstract
Post-transplant Lymphoproliferative Disorder (PTLD) because of the Epstein-Barr Virus (EBV) is a major concern after pediatric transplantation. The group at greatest risk is EBV-seronegative recipients who receive EBV-seropositive organs. Additional risk factors remain to be determined, including those among EBV-seropositive recipients. In this case-control study, PTLD cases were biopsy-proven over a period of 4 yr (1997-2000, inclusive). Each case was matched with 2 controls, based on the type of organ transplanted and the period of transplantation (+/-1 yr). Variables compared between cases and controls included those relating to the clinical and virologic profiles and immunosuppressive therapy. Twenty-two cases of PTLD were diagnosed during the study period. PTLD cases occurred at a median of 22.8 months post-transplantation (range 1-131). The median age of cases was 26.2 months (range 6.1-194) compared with 47.4 months (range 0.8-202.2) for controls (p = 0.93). Cases had a higher mean baseline EBV load compared with controls (3.1 log(10) (s.d. +/- 1.0) vs. 1.6 log(10)/10(6) PBMCs (s.d. +/- 1.4), with every 1 log increase in viral load resulting in a three times increase in the likelihood of PTLD (p < 0.007). Close to one in four cases of PTLD were EBV-seropositive pretransplantation. These seropositive recipients tended to be older patients with a trend to a worse outcome compared with their seronegative counterparts. The occurrence of PTLD was not associated with the use of any specific immunosuppressants. A significant proportion of PTLD cases occurred among EBV-seropositive transplant recipients, with a tendency towards an unfavorable outcome. Besides EBV-seronegative recipients who receive seropositive organs, some EBV-seropositive pediatric patients are at risk of PTLD. Additional studies are warranted to further define the factors associated with PTLD in EBV-seropositive transplant recipients.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".