Evidence map›Paper›PMID 40801613›Full record

ArticleCells2025

Linxiang Han, Xi Wen, Ling Zhang, Xingcheng Yang, Ziyan Wei, Haodong Wu, Yichen Zhan, Huiting Wang, Yu Fang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cells, 2025. 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.

Linxiang HanDepartment of Clinical Medicine, School of Medical, Wuhan University of Science and Technology, Wuhan 430065, China.
Xi WenDepartment of Environmental Hygiene and Occupational Medicine, School of Public Health, Wuhan University of Science and Technology, Wuhan 430065, China.
Ling ZhangDepartment of Environmental Hygiene and Occupational Medicine, School of Public Health, Wuhan University of Science and Technology, Wuhan 430065, China.
Xingcheng YangDepartment of Clinical Medicine, School of Medical, Wuhan University of Science and Technology, Wuhan 430065, China.
Ziyan WeiDepartment of Clinical Medicine, School of Medical, Wuhan University of Science and Technology, Wuhan 430065, China.
Haodong WuDepartment of Clinical Medicine, School of Medical, Wuhan University of Science and Technology, Wuhan 430065, China.
Yichen ZhanDepartment of Clinical Medicine, School of Medical, Wuhan University of Science and Technology, Wuhan 430065, China.
Huiting WangDepartment of Clinical Medicine, School of Medical, Wuhan University of Science and Technology, Wuhan 430065, China.
Yu FangDepartment of Environmental Hygiene and Occupational Medicine, School of Public Health, Wuhan University of Science and Technology, Wuhan 430065, China.ORCID 0000-0001-6132-6651

Funding

National Natural Science Foundation of China No. 82200191Open Fund Project of Hubei Province Key Laboratory of Occupational Hazard Identification and Control No. OHIC2023Y07
6 · The paper itself

Abstract

Acute myeloid leukemia (AML) is a malignant hematological tumor with a high prevalence in elderly people, and circular RNA (circRNA) plays an important role in age-related diseases. Induction of cancer cell senescence is a highly promising therapeutic strategy; however, the presence of senescence-associated circRNAs in AML remains to be elucidated. Here, we show that the expression patterns of circRNAs differed between elderly AML patients and healthy volunteers.

Indexed as

AgingCellular SenescenceLeukemia, Myeloid, AcuteRNA, CircularAgedAged, 80 and overApoptosisCell Line, TumorCell ProliferationFemaleHumansMaleMicroRNAsMiddle AgedMicroRNAsRNA, Circularage-related diseasesAMLcellular senescencecircSATB1therapeutic targets

Identifiers

PMID40801613
PMCPMC12346576

What OpenQuestion holds

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LicenceCC BY
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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.