Hodgkin Lymphoma in Children and Adolescents of Northern Greece: 25-Year Results and Long-term Follow-up
Bibliographic record
Abstract
Aim of this study was to evaluate the long-term therapeutic outcome and treatment-related complications in Hodgkin disease. We reviewed the medical records of 93 patients diagnosed with classic Hodgkin lymphoma, treated, and followed-up during the last 25 years. The cohort study included 49 males and 44 females with median age 11.8 years old (range: 3.95 to 17.42 y). The most common subtype was nodular sclerosis in 47/93 (50.5%). B symptoms were present in 15/93 (16.1%). From January 2009 until December 2020, 55 (59%) patients diagnosed with Hodgkin lymphoma were treated according to European Network for Pediatric Hodgkin Lymphoma (EURONET)-PHL-C1 protocol. Concerning outcome, a total of 89/93 patients are alive. Relapse occurred in 7/93. Second malignancies are reported in a total of 5 patients, 3 solid tumors (thyroid cancer, breast cancer, and osteosarcoma), and 2 acute myeloid leukemias. The overall survival and event-free survival for the whole cohort were 95.7% and 83.9%, respectively. Disease-free survival was 92.5%. Although a considerable high fraction of patients with Hodgkin disease can achieve continuous complete remission, they are at a high risk of developing long-term treatment-related complications. High curative rates as well as prevention of late effects can be achieved by implementation of individualized treatment strategies and innovative treatments.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".