Key Takeaways
- 5-year relative survival for AML in the United States is about 30% (SEER, all races)
- In unfit older AML patients, median overall survival historically ranges around 4–10 months depending on regimen (review estimates)
- Measurable residual disease (MRD) negativity is associated with improved survival in AML across multiple studies (MRD prognostic meta findings)
- NCCN recommends molecular testing for mutations including FLT3 and IDH1/2 in AML to guide targeted therapy selection
- Azacitidine is one of the commonly used hypomethylating agents for AML patients who are unfit for intensive chemotherapy
- Complete remission with incomplete hematologic recovery (CRi) and measurable residual disease (MRD) negativity are common endpoints in AML trials evaluating targeted therapies
- Venetoclax in combination with azacitidine has demonstrated improved overall survival vs azacitidine alone in AML patients ineligible for intensive chemotherapy (5-year follow-up reports)
- Azacitidine vs conventional care regimens showed improved overall survival in AML patients unfit for intensive chemotherapy (median OS reported in pivotal trial)
- Decitabine vs conventional care regimens improved survival in certain older unfit AML populations (median OS reported in randomized trial)
- NPM1-mutated AML is associated with cytogenetically normal disease frequently; NPM1 mutation prevalence reported around 30% of AML (review)
- WHO classification updates for AML categories rely on genetic and clinical features including defining mutations (framework described in WHO/ICC updates)
- In 2024, there were 18,000+ registered clinical trials for AML worldwide on ClinicalTrials.gov (aggregate count for AML condition tag)
- The global oncology therapeutics market is measured in the hundreds of billions USD annually (context for AML within oncology)
- The acute leukemia segment is included within broader hematology cancer drug markets measured in billions of dollars globally (hematology oncology market sizing)
- The global CAR-T therapy market is projected to exceed $10 billion; AML is a target indication in ongoing development (adjacent hematologic malignancies)
AML survival remains low but targeted testing and drugs like azacitidine plus venetoclax improve outcomes.
Related reading
Survival Outcomes
Survival Outcomes Interpretation
Clinical Management
Clinical Management Interpretation
Therapies & Pipelines
Therapies & Pipelines Interpretation
Biomarkers
Biomarkers Interpretation
Industry Trends
Industry Trends Interpretation
Market Size
Market Size Interpretation
Epidemiology
Epidemiology Interpretation
How We Rate Confidence
Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.
Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.
AI consensus: 1 of 4 models agree
Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.
AI consensus: 2–3 of 4 models broadly agree
All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.
AI consensus: 4 of 4 models fully agree
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
Alexander Schmidt. (2026, February 13). Acute Myeloid Leukemia Statistics. Gitnux. https://gitnux.org/acute-myeloid-leukemia-statistics
Alexander Schmidt. "Acute Myeloid Leukemia Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/acute-myeloid-leukemia-statistics.
Alexander Schmidt. 2026. "Acute Myeloid Leukemia Statistics." Gitnux. https://gitnux.org/acute-myeloid-leukemia-statistics.
References
- 1seer.cancer.gov/statfacts/html/amyl.html
- 2ncbi.nlm.nih.gov/pmc/articles/PMC6472641/
- 3pubmed.ncbi.nlm.nih.gov/28012986/
- 14pubmed.ncbi.nlm.nih.gov/27960114/
- 4nccn.org/guidelines/guidelines-detail?category=1&id=1449
- 5ema.europa.eu/en/medicines/human/EPAR/vidaza
- 6nejm.org/doi/full/10.1056/NEJMoa1905782
- 7nejm.org/doi/full/10.1056/NEJMoa2012887
- 8nejm.org/doi/full/10.1056/NEJMoa1114112
- 9nejm.org/doi/full/10.1056/NEJMoa1006765
- 10nejm.org/doi/full/10.1056/NEJMoa1708924
- 11nejm.org/doi/full/10.1056/NEJMoa2002622
- 12nejm.org/doi/full/10.1056/NEJMoa1906981
- 13nejm.org/doi/full/10.1056/NEJMoa1604057
- 15hem.org/education/clinician-update/white-paper-on-who-classification-of-aml
- 16clinicaltrials.gov/search?cond=Acute%20Myeloid%20Leukemia&aggFilters=status:rec
- 17imarcgroup.com/oncology-market
- 18alliedmarketresearch.com/hematology-oncology-drugs-market
- 19globenewswire.com/news-release/2024/03/05/2843914/0/en/CAR-T-Cell-Therapy-Market-Size-to-Reach-US-10-5-Billion-by-2031-IMARC-Group.html
- 20healthaffairs.org/content/forefront/medicare-spending-by-cancer-type
- 21gco.iarc.fr/today/data/factsheets/cancers/10-Leukemia-fact-sheet.pdf
- 22gco.iarc.fr/today/fact-sheets-cancers
- 23cancer.gov/types/leukemia/patient/adult-aml-treatment-pdq






