Outcome of Patients with Secondary Leukemias Managed with Different Treatment Strategies at a Single Center.
Bibliographic record
Abstract
134 patients with a prior diagnosis of a malignant solid tumor presented between 1 Jan 95 and 31 Dec 04 to the leukemia service at PMH for management of a secondary hemopoietic malignancy or aplasia (AML n=99, MDS n=22, ALL n=11, AA n=2). The cohort included 65 males (median age 70 years, ranging from 18–94 years) and 69 females (median age 60 years, ranging from 25–87 years). The tumor types showed the expected gender based variation. Based on age, performance status and patient preference 81 individuals received remission induction therapy, while 53 patients were managed with supportive care. 49 of the patients undergoing induction therapy met the age criteria (70 years) for a blood and marrow transplant (BMT) and survived at least 70 days post initiation of induction therapy. 25 of the 49 patients underwent allogeneic BMT from related (n=20) or unrelated donors (n=5). The median survival of all 134 patients amounted to 314 days with an overall survival (OS) at 2 and 3 years of 25% and 20%. The respective values for patients undergoing induction therapy and supportive care were 413 days,36%,28% and 192 days, 9%,7% (p= 0.0002). Survival was strongly influenced by age (p= 0.0017), while gender (p=0.1436) and FAB subtype (p=0.219) did not contribute significantly to outcome. Subset analysis of the 25 BMT recipients showed a median survival of 922 days, with a 51% and 39.5 % OS at 2 and 3 years. The respective data for the remaining 24 not transplanted patients were not significantly different (p= 0.7508) with 522 days, 42% and 35%. Both subgroups however differed significantly in their causes of death favoring a lower relapse rate for transplant recipients and lower treatment related mortality (TRM) for non-transplanted patients (p=0.0012). In conclusion, this single center study confirms the relatively poor outcome for patients with secondary leukemias but is consistent with the view that patients able to undergo intensive therapy including transplantation may derive a significant survival benefit. The low relapse rate observed for BMT patients compared to patients not transplanted may translate into a survival benefit provided TRM can be reduced
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".