[Preliminary outcome for patients with relapsed or resistant advanced non-Hodgkin's lymphoma treated by EPOCH regimen].
Bibliographic record
Abstract
BACKGROUND & OBJECTIVE: In the management of relapsed or refractory non-Hodgkin's lymphoma(NHL), there is still no standard salvage chemotherapy regimen so far. Potentiation of effectiveness and reduction of toxicity for some anti-cancer agents through continuous intravenous infusion were shown in some pre-clinical and clinical studies. The purpose of this study was to evaluate the efficacy and toxicity of EPOCH regimen. METHODS: A prospective phase II study of EPOCH regimen (doxorubicin/epirubicin,vincristine,etoposide over 96 hours infusion with bolus cyclophosphamade and oral prednisone) was administered to 26 patients with relapsed or refractory/resistant aggressive NHL. There were 20 patients (84.7%) among them treated by over 2 kinds of chemotherapy regimen with median regimen types of 2 (range,1-6 types) and median chemotherapy cycles of 8 (range,3-16 cycles) given for all patients. Fifteen patients (65.7%) were chemo-resistant recurrence. RESULTS: All the 26 patients were assessable. The response rate for the whole group was 50.0% with complete remission (CR) rate of 19.2%. Among the 7 patients with T-cell lymphoma and the 19 patients with B-cell lymphoma, the response rates were 28.6% and 57.9%,respectively. Major toxicity was myelosuppression with 34.8% and 8.7%incidence of grade III-IV neutropenia and thrombocytopenia respectively in all 46 cycles of EPOCH. Other toxicities were mild. CONCLUSION: EPOCH was effective for the patients with relapsed or refractory/resistant aggressive non-Hodgkin's lymphoma. Continuous infusion schedules of several chemotherapeutic agents may partially reverse chemo-resistance and reduce toxicity. EPOCH can be used as standard salvage regimen. Further clinical study is warranted.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.002 | 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".