American Society of Hematology 2025 guidelines for treating newly diagnosed acute myeloid leukemia in older adults
Bibliographic record
Abstract
BACKGROUND: Older adults with acute myeloid leukemia (AML) represent a cancer population in which disease-based risk factors, comorbidities, patient goals, and treatment risks and benefits influence treatment recommendations. OBJECTIVE: These evidence-based guidelines from the American Society of Hematology (ASH) are intended to support patients, clinicians, and other health professionals in their decisions about management of AML in older adults. METHODS: ASH formed a multidisciplinary guideline panel, including patient representatives, that minimized bias from conflicts of interest. Clarity Research Group at McMaster University supported the guideline development process, including updating or performing systematic evidence reviews. The panel prioritized questions and outcomes according to their importance for clinicians and patients. The panel used the grading of recommendations assessment, development and evaluation approach, including evidence-to-decision frameworks, to assess evidence and make recommendations. RESULTS: The panel agreed on 9 critical clinical recommendations for managing AML in older adults, mirroring real-time practitioner-patient conversations: the decision to pursue antileukemic treatment vs best supportive management; traditional induction and postremission therapy vs hypomethylating agent or low-dose cytarabine, or combinations with venetoclax; the role and duration of postremission therapy; combinations with venetoclax vs monotherapy; the use of targeted therapy, including isocitrate dehydrogenase and FMS-like tyrosine kinase 3 (FLT3) inhibitors, in appropriate patients; the role of hematopoietic stem cell transplantation in nonfavorable prognosis AML; and the role of transfusion support for patients no longer receiving antileukemic therapy. CONCLUSIONS: Key recommendations of these guidelines include treatment over best supportive care; venetoclax-based regimens over monotherapies; and incorporation of FLT3 inhibitors into traditional induction and postremission therapy.
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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 | 0.009 | 0.026 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.015 | 0.010 |
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".