[Long-term outcomes of 392 non-Hodgkin's lymphoma patients treated with pirarubicin based regimens].
Bibliographic record
Abstract
OBJECTIVE: To analyse the effectiveness and toxicity of combined chemotherapy regimen containing pirarubicin (THP) in the treatment of non-Hodgkin's lymphoma (NHL). METHODS: Three hundred and ninety two patients with NHL were treated by THP containing regimen with or without involved field radiotherapy. The clinical characteristics, response, toxicity and long-term survival rates were analysed. RESULTS: The median age of the patients was 47 (5 - 87) years and 26.0% aged more than 60 years. 61.0% of the patients were males and 39.0% females. B-cell and T/NK cell NHL accounted for 68.4% and 23.2% respectively with 56.9% of diffuse large B cell lymphoma and 12.5% of peripheral T cell lymphoma. 92.6% of the patients were ECOG < 1, 63.2% in stage I + II, 84.7% with IPI score 0 - 2 and 25% with B symptoms, 93.9% (368/392) of the patients received CTOP (containing THP) regimen chemotherapy and among them 28.5% (112/392) plus involved field radiotherapy. Altogether 1598 courses were administered on 368 patients. The overall response rate was 88.5% (341/385) with a complete remission (CR) rate of 63.6%, major toxicity was myelosuppression with 12.8%, 1.0% and 1.5% of grade III - IV neutropenia, thrombocytopenia and anemia, respectively. G-CSF support was given for 553 courses (34.6%). Alopecia account for 19.8%. The incidence of mild cardiotoxicity was 5.8%. Treatment-related mortality was 1.6% (6/368). Median follow-up was 24 months. The 1, 3 and 5 year actuarial survival rates were 86.4% , 66.5% and 59.2%, respectively. Median survival time has not been achieved. CONCLUSION: The efficacy of THP based regimen CTOP for the treatment of aggressive NHL is promising. Further clinical trial is warranted.
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 | 0.000 |
| 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) | 0.001 | 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".