Evidence map›Paper›PMID 39959280›Full record

ReviewWorld journal of diabetes2025

Classification and identification of risk factors for type 2 diabetes.

Shan-Shan Tang, Xue-Fei Zhao, Xue-Dong An, Wen-Jie Sun, Xiao-Min Kang, Yu-Ting Sun, Lin-Lin Jiang, Qing Gao, Ze-Hua Li, Hang-Yu Ji and 1 more

Abstract readReview
In one paragraph

Review in World journal of diabetes, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Review
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

11 authors.

Shan-Shan TangCollege of Traditional Chinese Medicine, Changchun University of Chinese Medicine, Changchun 130117, Jilin Province, China.
Xue-Fei ZhaoDepartment of Endocrinology, Guang'anmen Hospital, Beijing 100053, China.
Xue-Dong AnDepartment of Endocrinology, Guang'anmen Hospital, Beijing 100053, China.
Wen-Jie SunDepartment of Endocrinology, Guang'anmen Hospital, Beijing 100053, China.
Xiao-Min KangDepartment of Endocrinology, Guang'anmen Hospital, Beijing 100053, China.
Yu-Ting SunDepartment of Endocrinology, Guang'anmen Hospital, Beijing 100053, China.
Lin-Lin JiangDepartment of Endocrinology, Guang'anmen Hospital, Beijing 100053, China.
Qing GaoDepartment of Endocrinology, Guang'anmen Hospital, Beijing 100053, China.
Ze-Hua LiDepartment of Endocrinology, Guang'anmen Hospital, Beijing 100053, China.
Hang-Yu JiDepartment of Endocrinology, Guang'anmen Hospital, Beijing 100053, China.
Feng-Mei LianDepartment of Endocrinology, Guang'anmen Hospital, Beijing 100053, China. lfm565@sohu.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The risk factors for type 2 diabetes mellitus (T2DM) have been increasingly researched, but the lack of systematic identification and categorization makes it difficult for clinicians to quickly and accurately access and understand all the risk factors, which are categorized in this paper into five categories: Social determinants, lifestyle, checkable/testable risk factors, history of illness and medication, and other factors, which are discussed in a narrative review. Meanwhile, this paper points out the problems of the current research, helps to improve the systematic categorisation and practicality of T2DM risk factors, and provides a professional research basis for clinical practice and industry decision-making.

Indexed as

ClassificationNarrative synthesisPreventionRisk factorsType 2 diabetes mellitus

Identifiers

PMID39959280
PMCPMC11718467

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.