Evidence map›Paper›PMID 41007727›Full record

ReviewBiomedicines2025

Current Insights into Obesity and m

Chen Meng, Di Yang

Abstract readReview
In one paragraph

Review in Biomedicines, 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

2 authors.

Chen MengHuman Phenome Institute, Center for Medical Research and Innovation, Shanghai Pudong Hospital, Fudan University Pudong Medical Centre, Zhangjiang Fudan International Innovation Center, Fudan University, Shanghai 201203, China.
Di YangHuman Phenome Institute, Center for Medical Research and Innovation, Shanghai Pudong Hospital, Fudan University Pudong Medical Centre, Zhangjiang Fudan International Innovation Center, Fudan University, Shanghai 201203, China.ORCID 0000-0002-4768-2286

Funding

National Natural Science Foundation of China 81903602National Natural Science Foundation of China 82370485Shanghai Municipal Science and Technology Major Project 2017SHZDZX01the Clinical Research Program of Health Industry of Shanghai Municipal Health Commission 20234Y0238the Noncommunicable Chronic Diseases-National Science and Technology Major Project 2023ZD0503203
6 · The paper itself

Abstract

Obesity has emerged as a global health challenge, closely associated with multiple metabolic diseases, such as cardiovascular diseases, type 2 diabetes, and non-alcoholic fatty liver disease. The traditional "calories-in minus calories-out" paradigm is no longer sufficient to explain the heterogeneity of obesity; consequently, a growing body of research has turned its focus to epigenetic regulation-particularly chemical modifications at the RNA level.

Indexed as

adipogenesisepigeneticsm6A modificationmetabolic diseasesmethylationobesitytherapeutic targets

Identifiers

PMID41007727
PMCPMC12467052

What Socratic 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 Socratic graph.