Impact of time from diagnosis to initiation of curative chemotherapy on survival of patients with diffuse large B-cell lymphoma
Bibliographic record
Abstract
Although it is generally regarded appropriate to start chemotherapy promptly after a diagnosis of diffuse large B-cell lymphoma (DLBCL), the optimal time from diagnosis to treatment (TDT) is unknown. A total of 689 patients diagnosed with DLBCL and treated with ≥ 1 cycle of CHOP-R with curative intent during 2003-2008 in British Columbia were identified: 347 (50%) TDT ≤ 4 weeks, 277 (40%) TDT 5-8 weeks, 65 (10%) TDT > 8 weeks. For the respective TDT groups, 5-year OS estimates were 61%, 74%, 63% (p = 0.006); 5-year PFS 57%, 70%, 61% (p = 0.006); and 5-year DSS 64%, 80%, 77% (p <0.001). In multivariate analysis, TDT >8 weeks was associated with worse OS (HR 1.20 (95% CI 1.03, 1.41), p = 0.020), PFS (HR 1.33 (95% CI 1.15, 1.54), p < 0.001), and DSS (HR 1.40 (95% CI 1.10, 1.78), p = 0.006). Clinicians should endeavor to initiate curative chemotherapy as soon as possible after a diagnosis of DLBCL is established.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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 teacher head, 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".