ReviewMedical sciences (Basel, Switzerland)2025
Predictors of Early Death in Acute Promyelocytic Leukemia.
Review in Medical sciences (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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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.
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Who cites it
4 citing papers in PubMed.
- Improved real-world outcomes of patients with acute promyelocytic leukaemia treated with first-line arsenic trioxide in specialized centres in Portugal through a 24/7 phone-based referral.British journal of haematology · 2026Article
- Incorporating artificial intelligence into morphological diagnosis of acute leukemias: Current landscape, challenges and prospects (Review).Oncology reports · 2026Review
- Clinical characteristics and treatment outcomes of adult acute promyelocytic leukemia in the West Bank of Palestine: a single center retrospective study.BMC cancer · 2026Article
- Establishment and validation of a 28-day clinical outcome prediction model for acute promyelocytic leukemia based on an early platelet-coagulation factor combined transfusion strategy.American journal of cancer research · 2026Article
Corrections and comments
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Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Acute promyelocytic leukemia (APL) evolved from the most lethal to the most curable subtype of acute leukemia today, owing to targeted therapy with all-trans retinoic acid (ATRA) and arsenic trioxide. Despite cure rates exceeding 90% and the rarity of relapse or refractoriness, early death (ED)-occurring within 30 days of diagnosis-remains unacceptably high, reaching up to 30% in population-based studies. ED is the major barrier to universal cure, with fatal hemorrhage as the predominant cause, followed by infection, differentiation syndrome, and thrombosis. Patients who survive the initial month generally achieve excellent long-term outcomes. This review synthesizes data from clinical trials and large real-world cohorts to provide a comprehensive overview of the incidence, causes, and predictors of ED in APL. Higher white blood cell count and older age emerge as the most consistently validated predictors, followed by increased IRB/BICcreatinine, low albumin, thrombocytopenia, and coagulopathy, although their predictive value is not uniform across studies. Risk scores such as the Sanz classification, the Österroos ED model, and dynamic disseminated intravascular coagulation (DIC) assessments represent practical tools for identifying patients at high risk of ED. Importantly, ED rates remain significantly higher in real-world populations than in clinical trials, highlighting the impact of age and comorbidities, delayed diagnosis, and barriers to immediate ATRA initiation and supportive care. Addressing ED in APL requires intensified early supportive strategies, physician awareness and education, and rapid treatment initiation. Refinement and validation of predictive models may guide tailored interventions and inform strategies to finally overcome this persistent unmet need.
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Registered trials
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