Evidence map›Paper›PMID 38097926›Full record

ArticleBMC genomics2023

Transcriptome-wide N

Xinbin Zheng, Bo Zhou, Yuzhen Li, Hengren Zhong, Zhengxin Huang, Minhua Gu

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

7 citing papers in PubMed, 6 citations in OpenAlex.

  1. [Explore the potential diagnostic markers of primary Sjögren syndrome by bioinformatics combined with machine learning].Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences · 2026
    Article
  2. Article
  3. MFrontiers in genetics · 2026
    Review
  4. Review
  5. Article
  6. Article
  7. 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

6 authors at 3 institutions in 1 country.

Xinbin Zheng *Clinical Research Center, Hainan Provincial Hospital of Traditional Chinese Medicine, 570203, Haikou, Hainan, P. R. China.
Bo Zhou *Department of Cardiology, Hainan Provincial Hospital of Traditional Chinese Medicine, 570203, Haikou, Hainan, P. R. China.
Yuzhen LiClinical Research Center, Hainan Provincial Hospital of Traditional Chinese Medicine, 570203, Haikou, Hainan, P. R. China.
Hengren ZhongClinical Research Center, Hainan Provincial Hospital of Traditional Chinese Medicine, 570203, Haikou, Hainan, P. R. China.
Zhengxin HuangDepartment of Cardiology, Hainan Provincial Hospital of Traditional Chinese Medicine, 570203, Haikou, Hainan, P. R. China. 877053784@qq.com.
Minhua GuDepartment of Cardiology, Hainan Provincial Hospital of Traditional Chinese Medicine, 570203, Haikou, Hainan, P. R. China. gumh@hainmc.edu.cn.
Hainan Provincial Hospital of Traditional Chinese Medicine · CNHainan Medical University · CNHainan Agricultural School · CN

Funding

Hainan Natural Science Foundation 821MS0836Hainan Natural Science Foundation 821RC1128National Natural Science Foundation of China 82160899TCM Geriatrics Construction Project, Key Discipline of National Administration of TCM 2023No3
6 · The paper itself

Abstract

backgroundAtherosclerosis (AS) is a critical pathological event during the progression of cardiovascular diseases. It exhibits fibrofatty lesions on the arterial wall and lacks effective treatment. N

methodsMethylation Quantification Kit was used to detect the global m

resultsThe global m

conclusionsOur study provides transcriptome-wide m

Indexed as

Cardiovascular DiseasesTranscriptomeAdenosineAnimalsMethylationMiceRNAAdenosineN-methyladenosineRNAAtherosclerosisFabp5MeRIP-seqN6-methyladenosine

Identifiers

PMID38097926
PMCPMC10720251
OpenAlexW4389793212

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.