Evidence map›Paper›PMID 37841018›Full record

ReviewFrontiers in medicine2023

The role of N6-methyladenosine (m

Luling You, Zhongyu Han, Haoran Chen, Liuyan Chen, Yumeng Lin, Binjian Wang, Yiyue Fan, Meiqi Zhang, Ji Luo, Fang Peng and 4 more

Abstract readReview
In one paragraph

Review in Frontiers in medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

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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

14 authors.

Luling YouSchool of Medical and Life Sciences, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Zhongyu HanSchool of Medical and Life Sciences, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Haoran ChenScience and Education Department, Chengdu Xinhua Hospital, Chengdu, China.
Liuyan ChenSchool of Medical and Life Sciences, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Yumeng LinEye School of Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Binjian WangEye School of Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Yiyue FanSchool of Medical and Life Sciences, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Meiqi ZhangSchool of Medical and Life Sciences, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Ji LuoSchool of Medical Information Engineering, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Fang PengSchool of Medical and Life Sciences, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Yue MaSchool of Clinical Medicine, Southeast University, Nanjing, China.
Yanmei WangInstitute of Traditional Chinese Medicine, Sichuan College of Traditional Chinese Medicine (Sichuan Second Hospital of TCM), Chengdu, China.
Lan YuanSchool of Medical and Life Sciences, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Zhongyu HanSchool of Medical and Life Sciences, Chengdu University of Traditional Chinese Medicine, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chemical modifications are a specific and efficient way to regulate the function of biological macromolecules. Among them, RNA molecules exhibit a variety of modifications that play important regulatory roles in various biological processes. More than 170 modifications have been identified in RNA molecules, among which the most common internal modifications include N6-methyladenine (m

Indexed as

acute kidney injurychronic kidney diseaseskidney diseasesm6Arenal cancerRNA modification

Identifiers

PMID37841018
PMCPMC10569431

What OpenQuestion holds

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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.