Evidence map›Paper›PMID 32719170›Full record

ReviewBlood research2020

Treatments for children and adolescents with AML.

Hyery Kim

Registry-linked trialOpen access · diamondAbstract readReview
In one paragraph

Review in Blood research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06233526 (Individualized Treatment of Pediatric Relasped and Refractory Acute Myeloid Leukemia Based on Transcriptomic Profile and in Vitro Drug Sensitivity Test), which is not on this map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.6field-weighted citation impact, top 14% 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.

NCT06233526 naunknown statusnot on this mapstarted 2024, after this paper: background citation

Individualized Treatment of Pediatric Relasped and Refractory Acute Myeloid Leukemia Based on Transcriptomic Profile and in Vitro Drug Sensitivity Test

TypeinterventionalSponsorThe Children's Hospital of Zhejiang University School of MedicineRan2024 to 2025Enrolled60ConditionsAcute Myeloid Leukemia in ChildrenArmsChemotherapy regiments based on the transcriptomic profile and in vitro drug sensitivity test
3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 22 citations in OpenAlex.

  1. Unmasking hidden high risk inInnovation (Cambridge (Mass.)) · 2026
    Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. 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

1 author at 1 institution in 1 country.

Hyery KimDepartment of Pediatrics, University of Ulsan College of Medicine, Asan Medical Center Children's Hospital, Seoul, Korea.
Ulsan College · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent decades, survival rates for childhood acute myeloid leukemia have remarkably improved, owing to chemotherapy intensification, allogeneic hematopoietic stem cell transplantation, and improved supportive care. Furthermore, treatment protocols have evolved and are currently better matched to prognostic factors and treatment responses. Recently, new molecular prognostic factors were discovered via leukemia genomic studies. Moreover, new tumor subtypes with independent gene expression profiles have been characterized. To broaden the therapeutic options for patients with poor prognoses, therapies that target specific candidate mutations are being identified. Additionally, new drugs are undergoing clinical trials, and immunotherapy is attracting significant interest as a treatment option for recurrent or refractory childhood acute myeloid leukemia.

Indexed as

Acute myeloid leukemiaAdolescentsChildhoodPrognosisSurvivalTreatment

Identifiers

PMID32719170
PMCPMC7386885
OpenAlexW3045666678

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.