Epstein‐Barr Virus (EBV) Early‐Antigen Serologic Testing in Conjunction with Peripheral Blood EBV DNA Load as a Marker for Risk of Posttransplantation Lymphoproliferative Disease
Bibliographic record
Abstract
Epstein-Barr virus (EBV) early-antigen (EA) serologic profile was examined in conjunction with peripheral blood EBV DNA load, to assess its value in evaluating the risk of developing posttransplantation lymphoproliferative disease (PTLD). The cohort included 26 pediatric recipients of solid-organ transplants, 6 of whom developed PTLD. All 6 patients had high peripheral blood EBV DNA loads. Of the remaining 20 patients who did not develop PTLD, 14 had high EBV DNA loads, and 6 had low EBV DNA loads. None of the patients who developed PTLD had significant EA immunoglobulin G (IgG) titers. However, all 14 patients with high EBV DNA loads and without PTLD had high EA IgG titers, either at the time of initial high EBV DNA load or during the ensuing weeks. Here, we report that EBV DNA load analysis, combined with EA serologic analysis, is a potentially useful prognostic marker for evaluating the risk of developing PTLD.
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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 | 0.002 |
| 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 | 0.000 |
| 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".