Evidence map›Paper›PMID 39356870›Full record

ReviewBlood2025

How I treat secondary acute myeloid leukemia.

Steven D Green, Eunice S Wang

Abstract readCase ReportsReview
In one paragraph

Review in Blood, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

  1. Article
  2. Article
  3. A Rare Case of De Novo Acute Myeloid Leukemia, Featuring aDiagnostics (Basel, Switzerland) · 2026
    Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Steven D GreenDepartment of Medicine, Leukemia Service, Roswell Park Comprehensive Cancer Center, Buffalo, NY.
Eunice S WangDepartment of Medicine, Leukemia Service, Roswell Park Comprehensive Cancer Center, Buffalo, NY.ORCID 0000-0002-8644-0968

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

abstractSecondary acute myeloid leukemia (sAML) has traditionally been used to designate any AML disease arising from an antecedent hematologic disorder or after prior cytotoxic or radiation therapy. We now know sAML comprises multiple disease entities with distinct clinical and biological features: AML, myelodysplastic related; myeloproliferative neoplasm-blast phase; and AML post-cytotoxic therapy. These entities largely represent adverse-risk phenotypes with the majority of patients experiencing suboptimal outcomes with standard therapeutic options. Given the aging general population and the increased life span of individuals receiving DNA-damaging agents for other medical conditions, the incidence of these diseases is steadily rising and now comprise ∼25% to 30% of all new AML diagnoses. Despite the plethora of novel agents approved for AML since 2017, many either are not applicable to sAML (ie, lacking a targetable mutation), have limited efficacy, or have not been studied in these specific entities. Furthermore, these patients are underrepresented in clinical trials, and novel therapeutic options are critically needed. Here, we present multiple patient cases exemplifying the new nomenclature and classification of the diseases comprising sAML and highlighting their diverse presentations. We provide our therapeutic approach for each clinical scenario and discuss the challenges of treatment with the currently available armamentarium.

Indexed as

Leukemia, Myeloid, AcuteNeoplasms, Second PrimaryAdultAgedFemaleHumansMaleMiddle Aged

Identifiers

PMID39356870
PMCPMC11952014

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.