Denutrition status prevails over a standard AML risk assessment in older adults
Bibliographic record
Abstract
• Conventional prognostic factors do not apply to older patients with acute myeloid leukemia and who are not eligible for intensive chemotherapy. • The serum albumin level was the only factor with predictive value in this setting. • Albumin <30 g/L was the only factor that predicted day-30 mortality and OS. Older adults with acute myeloid leukemia (AML) have a poor prognosis because frailty and the characteristics of the disease limit the use of intensive chemotherapy (ICT). Treatment with 5-azacitidine (5-AZA) or low-dose cytarabine (Cytarabine) (LDAC) – with or without venetoclax – is currently recommended in this setting. However, we lack real-life data on response rates and treatment outcomes. We conducted a retrospective, multicenter registry study of 279 older adults with AML (median [interquartile range (IQR)] age: 76 [70–81]) having undergone first-line treatment with LDAC ( n = 87) or 5-AZA ( n = 192) between 2009 and 2019 (i.e. mainly before the venetoclax era) in a university medical center in France. The complete remission rate was 27.3 % overall. After a median follow-up period of 6.9 months, the median [IQR] overall survival (OS) time was shorter in the LDAC group (4.8 months [2.13–14.41]) than in the 5-AZA group (8.9 months [3.2–13.5]; p = 0.046). Ultimately, however, the OS rates were similar in the LDAC and 5-AZA groups (hazard ratio [HR]: 95 % confidence interval [CI]: 1.37 [0.92–2.04], p = 0.12). None of the conventional markers with prognostic value in younger patients receiving ICT (such as those in the European LeukemiaNet classification) appeared to predict the outcome in our population of older patients. Albumin <30 g/L was the only factor that predicted day-30 mortality and OS (adjusted odds ratio [95 %CI]: 6.25 [2.08 – 20.0]; p < 0.001; adjusted HR [95 %CI]: 0.65 [0.44–0.96]; p = 0.030).
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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 | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| 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 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".