Evidence map›Paper›PMID 39834628›Full record

ArticleLeukemia research reports2025

Donghyun Kim, Grerk Sutamtewagul, Yeonhwa Yu

Abstract read
In one paragraph

Article in Leukemia research reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

3 authors.

Donghyun KimDivision of Hematology, Oncology and Blood & Marrow Transplantation, Department of Internal Medicine, University of Iowa, Iowa City, IA 52242, United States.
Grerk SutamtewagulDivision of Hematology, Oncology and Blood & Marrow Transplantation, Department of Internal Medicine, University of Iowa, Iowa City, IA 52242, United States.
Yeonhwa YuIndependent Researcher, Gimpo-si, Gyeonggi-do 10090, South Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prognostication of acute myeloid leukemia (AML) at initial diagnosis relies on identification of pre-determined underlying genetic abnormalities. Nevertheless, the disease course of AML remains highly unpredictable and robust reliable prognostic biomarkers for newly diagnosed AML are lacking. We retrospectively explored two publicly available AML RNA-Seq datasets and found that inferior overall survival was associated with high-

Indexed as

Acute myeloid leukemiaFLT3Gene expressionNPM1Prognostic biomarker

Identifiers

PMID39834628
PMCPMC11743808

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.