Peripheral T-cell Lymphoma in Children and Adolescents
Bibliographic record
Abstract
BACKGROUND: Peripheral T-cell lymphoma (PTCL) is rare in pediatric patients and is associated with worse outcome compared with other pediatric non-Hodgkin lymphomas. We report our institutional experience over a 10-year period. METHODS: Patients were identified through the institutional oncology database. Data were abstracted through a detailed retrospective review of patient charts. Those with isolated cutaneous T-cell lymphoma were excluded from this analysis. RESULTS: Thirteen patients were diagnosed with PTCL during the 10-year period. All presented with advanced disease. According to the WHO PTCL classification, 7 patients had PTCL not otherwise specified, 3 had hepatosplenic T-cell lymphoma and 3 had T-cell posttransplant lymphoproliferative disease. Six of the patients had previously received or were receiving immunosuppressive therapy at the time of their diagnosis. Patients were treated with various chemotherapeutic regimens, including B-cell non-Hodgkin lymphomas and T-cell acute lymphoblastic leukemia-like therapy. Patients who had refractory or recurrent disease were changed to alternative therapy. Eight patients underwent stem cell transplantation, 7 allogeneic and 1 autologous. Of the 13 patients, 7 died. Three patients died from disease progression, 3 died from treatment-related mortality, and 1 patient died from cardiac rejection. Six patients (46%) are alive and disease free at a median of 21 months (2 to 79 mo). CONCLUSIONS: Children with PTCL have an unfavorable outcome. A standard approach to management of pediatric PTCL needs to be established to improve outcome. Because of the rarity of this condition, this will require collaborative studies.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".