ArticleBlood advances2024
Impact of patient demographics on treatment outcomes in AML: a population-based registry in England, 2013-2020.
Article in Blood advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Socioeconomic inequality in treatment of acute myeloid leukaemia (AML) in England, 2015-2022: A population-based study.British journal of haematology · 2026Article
- Article
- Impact of race on mutational profile and survival in acute myeloid leukemia: a single-institution experience (2014-2024).Annals of hematology · 2026Article
- Rapid Transcription Dynamics Confers Cytarabine Resistance in Acute Myeloid Leukemia.Blood cancer discovery · 2026Article
- Impact of demographic factors on clinical outcomes of patients with acute myeloid leukemia.Haematologica · 2026Article
- The global epidemiology of acute myeloid leukaemia.Nature reviews. Clinical oncology · 2026Review
- Epidemiology, survival, and treatment of acute myeloid and lymphoblastic leukaemia in Germany: a nationwide population-based registry analysis.The Lancet regional health. Europe · 2025Article
- Review
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7 authors.
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Abstract
abstractWe report 1- and 5-year survival after acute myeloid leukemia (AML) diagnosis and early mortality within 30 days of systemic anticancer therapy (SACT) treatments, using national cancer registry data in England. Patients aged 18 to 99 years diagnosed between 2013 and 2020 were included. Overall survival (OS) was calculated using Kaplan-Meier methodology, and adjusted hazard ratios (aHRs; adjusted for intensity of treatment, age at diagnosis, sex, ethnicity, socioeconomic deprivation, comorbidity, and year of diagnosis) using Cox proportional hazards regression. Odds of 30-day mortality (adjusted odds ratios [aORs], adjusted for aforementioned characteristics), along with performance status and body mass index, were calculated using logistic regression. Among 17 107 patients identified, older age and comorbidity were associated with worse survival. Asian and Black patients had better survival than White patients: 5-year OS of 34.6%, 29.7%, and 17.8%, respectively; aHR of 0.86; (95% confidence interval [CI], 0.77-0.96) Asian vs White, and 0.84 (95% CI, 0.73-0.96) Black vs White. Socioeconomic deprivation was associated with worse survival. Overall, 7906 (46.2%) patients were documented as having received SACT. Thirty-day mortality was lower for patients receiving intensive rather than nonintensive SACT. After adjustment for cofactors, the risk was higher in those treated intensively (aOR, 0.74; 95% CI, 0.60-0.92). We show that ethnicity and socioeconomic status affects outcomes in AML. Further work is needed to understand how these effects may differ in different health care settings, and whether this because of effects on disease biology, responsiveness to treatment, or drug toxicity. Selection of intensive vs nonintensive treatment should be based on individual patient factors, balancing improved long-term survival against higher early mortality.
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