ReviewNature reviews. Clinical oncology2026
The global epidemiology of acute myeloid leukaemia.
Review in Nature reviews. Clinical oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed.
- Review
- Multiomic State-Transitions Reveal Post-Treatment Transcriptome Desynchronization in Acute Myeloid Leukemia.bioRxiv : the preprint server for biology · 2026Article
- Diagnosis-Driven Targeted Therapy in Acute Myeloid Leukemia: Clinical Integration of Tyrosine Kinase, BCL-2, and CD33-Directed Strategies with Midostaurin, Venetoclax, and Gemtuzumab Ozogamicin.Journal of clinical medicine · 2026Review
- Article
- Targeting the nuclear export receptor exportin-1 in acute myeloid leukaemia: From biology to clinical translation.Clinical and translational medicine · 2026Review
- A Deep Learning Model for IMMP-Based Residual Disease Monitoring in AML with Monocytic Differentiation.Diagnostics (Basel, Switzerland) · 2026Article
- Leukemia during pregnancy and survivorship: gestational age-stratified multidisciplinary management framework.Clinical and experimental medicine · 2026Review
- Review
- Deciphering Multitarget Mechanisms of Cardiac Glycosides in Acute Myeloid Leukemia Using a Network Pharmacology and Molecular Docking.Drug design, development and therapy · 2026Article
- Identification and experimental validation of mitochondria pathway related genes in acute myeloid leukemia.Frontiers in immunology · 2026Article
- Rare acute myeloid leukemia harboring BCR/ABL1 (P210), AML1-MDS1/EVI1, and AML1/EAP: case report and literature review.Frontiers in oncology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Acute myeloid leukaemia (AML) is an aggressive haematological malignancy with an incidence that increases with age and varies widely across regions owing to differences in risk factors, diagnostic capabilities, recording in cancer registries and access to health care. Despite improved outcomes over the past decade owing to the approvals of various novel therapies as well as improvements in supportive care and better access to, and safety of, allogeneic haematopoietic stem cell transplantation, progress has largely been confined to high-income countries. Patients in low-income or middle-income countries often remain reliant on older cytotoxic regimens, when available. The incidence of AML in high-income countries has increased over the past decades owing to population ageing in many of these countries as well as improved access to diagnostics. By contrast, AML has a lower incidence but is associated with higher mortality and morbidity in most low-income or middle-income countries. Multiple risk factors predispose individuals to AML, including germline variants, environmental and lifestyle factors, prior exposure to chemotherapy and radiation, and certain medical conditions and comorbidities. In this Review, we highlight global trends in the incidence, risk factors, demographic disparities and treatment-related outcomes of patients with AML across diverse geographical regions. We also outline the urgent need to improve the cancer registry infrastructure, expand global surveillance, leverage artificial intelligence for data analysis and promote equitable access to clinical trials.
Indexed as
Identifiers
41350446What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.