Evaluation of Early Stage Hodgkin’s Lymphoma Treatment: Two Decades of Progress.
Bibliographic record
Abstract
Abstract Introduction The treatment of early stage Hodgkin’s lymphoma is controversial. Radiotherapy alone, chemotherapy alone or a combination of radiotherapy and chemotherapy are all considered effective options. Purpose The purpose of this study is to review the treatment approaches and outcomes used for early stage Hodgkin’s lymphoma over the past two decades at ORCC Methods Retrospective chart review of all patients with stage IA /IIA treated from 1984–2002 was performed. Patients were separated into three groups according to initial treatment modality: radiation alone (Rads), chemotherapy alone (Chemo), or combined modality (Combined). Disease-free survival and overall survival were estimated using the Kaplan-Meier analysis. Result Between May 1984 and January 2003, 172 patients with newly diagnosed Hodgkin’s lymphoma (28% stage 1A, 72% stage 2A) were seen at our centre. Treatment was as follows: 49% Rads, 13% Chemo and 38% Combined. The median age was 33.7 years (range: 17 – 82 years) and the median follow-up of 73 months (range: 3 – 204 months). The 5-year disease free and overall survival rates for the entire group were 90% and 96 % respectively. The 5-year disease-free and overall survival by treatment modality was: Rads 87% and 93 %; Chemo 80 % and 100 %; Combined 97 % and 98%. In the Combined group, there was no difference in outcome between patients receiving involved-field radiation and those receiving extended-field radiotherapy. The relapse rate in a patient who received abbreviated chemotherapy and greater than four cycles was 4.3% (1 out of 23) and 2.4% (1 out of 41) respectively. The incidence of acute Grade 3 and 4 toxicities were 9 % and 0.5% respectively. Conclusions Our data confirms the excellent prognosis of early stage Hodgkin’s lymphoma with all the approaches used at our centre. At present, we favour combined modality treatment with involved-field radiotherapy and our results support its continued use.
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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 | 0.004 | 0.005 |
| 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 | 0.001 |
| 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".