Evidence map›Paper›PMID 42774409›Full record

ArticleFrontiers in pharmacology2026

Yu-Juan Xue, Xiaoyu Cao, Yinping Yang, Yu Wang, Fangyuan Zheng, Ai-Dong Lu, Yue-Ping Jia, Le-Ping Zhang, Hui-Min Zeng

Abstract read
In one paragraph

Article in Frontiers in pharmacology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Yu-Juan XueDepartment of Pediatrics, Peking University People's Hospital, Peking University, Beijing, China.
Xiaoyu CaoDepartment of Pediatrics, Peking University People's Hospital, Peking University, Beijing, China.
Yinping YangAcademic Department, Beijing Jahon Vast Tech Co., Ltd., Beijing, China.
Yu WangDepartment of Pediatrics, Peking University People's Hospital, Peking University, Beijing, China.
Fangyuan ZhengDepartment of Pediatrics, Peking University People's Hospital, Peking University, Beijing, China.
Ai-Dong LuDepartment of Pediatrics, Peking University People's Hospital, Peking University, Beijing, China.
Yue-Ping JiaDepartment of Pediatrics, Peking University People's Hospital, Peking University, Beijing, China.
Le-Ping ZhangDepartment of Pediatrics, Peking University People's Hospital, Peking University, Beijing, China.
Hui-Min ZengDepartment of Pediatrics, Peking University People's Hospital, Peking University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Despite advances in therapy, 30%-40% of pediatric acute myeloid leukemia (AML) patients still experience treatment failure due to relapse or toxicity. Current risk stratification based on genetic features remains insufficient, and epigenetic biomarkers for pediatric AML are understudied. This study aimed to evaluate the prognostic and predictive value of Methods: We enrolled 69 newly diagnosed pediatric AML patients treated with standardized chemotherapy. Promoter methylation levels were measured by multiplex methylation-specific PCR. Associations between methylation status and clinical characteristics, survival outcomes, and response to hypomethylating agents (HMAs) were analyzed using univariate and multivariate Cox regression, sensitivity analyses, and subgroup validation. Results: Methylation levels of all three genes were significantly associated with age and core binding factor abnormalities. Conclusion:

Indexed as

epigeneticshypomethylating agentspediatric acute myeloid leukemiapersonalized medicinePTGER4 methylationtumor biomarkers

Identifiers

PMID42774409
PMCPMC13593862

What OpenQuestion holds

Textmetadata
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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.