Evidence map›Paper›PMID 37627199›Full record

ReviewCancers2023

Risk-Stratified Therapy for Pediatric Acute Myeloid Leukemia.

Daisuke Tomizawa, Shin-Ichi Tsujimoto

Open access · goldAbstract readReview
In one paragraph

Review in Cancers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 2 pooled it
7.0field-weighted citation impact, top 3% of its field
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

24 citing papers in PubMed, 2 syntheses or guidelines pooled it, 24 citations in OpenAlex.

  1. Pooled it
  2. Guideline
  3. Observational
  4. Immunophenotypic, Cytogenetic, and Molecular Characterization of NUP98-Rearranged Pediatric Myeloid Neoplasms.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2026
    Article
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  12. Review
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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 at 2 institutions in 1 country.

Daisuke TomizawaDivision of Leukemia and Lymphoma, Children's Cancer Center, National Center for Child Health and Development, Tokyo 157-8535, Japan.ORCID 0000-0003-1520-7007
Shin-Ichi TsujimotoDepartment of Pediatrics, Yokohama City University Graduate School of Medicine, Yokohama 236-0004, Japan.
National Center For Child Health and Development · JPYokohama City University · JP

Funding

Japan Agency for Medical Research and Development JP23ck0106853
6 · The paper itself

Abstract

Acute Myeloid Leukemia (AML) is the second most common type of leukemia in children. Recent advances in high-resolution genomic profiling techniques have uncovered the mutational landscape of pediatric AML as distinct from adult AML. Overall survival rates of children with AML have dramatically improved in the past 40 years, currently reaching 70% to 80% in developed countries. This was accomplished by the intensification of conventional chemotherapy, improvement in risk stratification using leukemia-specific cytogenetics/molecular genetics and measurable residual disease, appropriate use of allogeneic hematopoietic stem cell transplantation, and improvement in supportive care. However, the principle therapeutic approach for pediatric AML has not changed substantially for decades and improvement in event-free survival is rather modest. Further refinements in risk stratification and the introduction of emerging novel therapies to contemporary therapy, through international collaboration, would be key solutions for further improvements in outcomes.

Indexed as

acute myeloid leukemiachemotherapychildrencytogeneticshematopoietic stem cell transplantationmeasurable residual diseasemolecular geneticsnovel therapy

Identifiers

PMID37627199
PMCPMC10452723
OpenAlexW4385977892

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.