Progressive transformation of germinal centers in children and adolescents: An intriguing cause of lymphadenopathy
Bibliographic record
Abstract
BACKGROUND: The clinical implications of a diagnosis of progressive transformation of germinal centers (PTGC) in children are not well known. METHODS: To better understand this entity, we conducted a retrospective review of all patients aged 0-18 years diagnosed with PTGC at our center between 1998 and 2010. RESULTS: Twenty-nine patients were identified. Median age at diagnosis was 11.5 years, and median duration of follow-up was 2.8 years. Thirteen patients (45%) had a single episode of PTGC with no other associated features. Five patients (17%) had recurrent PTGC. Four patients (14%) had PTGC associated with Hodgkin lymphoma (HL): one preceding, two concurrent, and one subsequently developed HL. The most commonly associated HL was nodular lymphocyte-predominant HL. Seven patients (24%) had PTGC associated with immune disorders, including lupus, Castleman disease, and probable autoimmune lymphoproliferative syndrome. Overall, 15 patients (52%) had more than one lymph node biopsy. The cumulative incidence of a second biopsy after a diagnosis of PTGC was 42.3% ± 12.2% at 4 years. PTGC was PET-avid in all four patients tested. CONCLUSIONS: PTGC is a nonspecific manifestation of a variety of associated conditions. There is a small risk of subsequent HL, and a larger risk of requiring multiple biopsies for recurrent PTGC. The presence of an immune disorder should be considered in patients who present with generalized lymphadenopathy, splenomegaly, immune cytopenias, and/or progression to HL. Routine surveillance imaging may not be required. Future research should determine the optimal surveillance strategy for patients with PTGC and the indications for repeat biopsies.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".