Results of a prospective phase II trial evaluating interim positron emission tomography-guided high dose therapy for poor prognosis diffuse large B-cell lymphoma
Bibliographic record
Abstract
Patients with diffuse large B-cell lymphoma (DLBCL) with a poor prognosis based upon advanced stage and elevated serum lactate dehydrogenase achieve a 3-4-year progression-free survival (PFS) of only 55%. The role of interim fluoro-2-deoxy-d-glucose (FDG) positron emission tomography (PET) to guide use of upfront high dose chemotherapy (HDCT) and autologous stem cell transplant (ASCT) for patients with poor prognosis DLBCL is unproven. A prospective phase II clinical trial was designed to evaluate the outcomes of HDCT/ASCT for patients with poor prognosis DLBCL aged 18-65 years who had unfavorable interim restaging PET scans. Of the 70 eligible patients, 36 had unfavorable and 34 favorable interim PET responses, with 3-year PFS rates of 65.2% and 52.7%, respectively. In conclusion, favorable interim PET response as defined in this study is not associated with improved PFS rates for patients with poor prognosis DLBCL treated with RCHOP (rituximab, cyclophosphamide, doxorubicin, vincristine, prednisone). A phase III trial evaluating this PET-guided approach is not 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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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".