Evidence mapPaperPMID 40289953Full record

ArticleNutrients2025

Machine Learning Models Integrating Dietary Indicators Improve the Prediction of Progression from Prediabetes to Type 2 Diabetes Mellitus.

Zhuoyang Li, Yuqian Li, Zhenxing Mao, Chongjian Wang, Jian Hou, Jiaoyan Zhao, Jianwei Wang, Yuan Tian, Linlin Li

Abstract read
In one paragraph

Article in Nutrients, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

Zhuoyang LiDepartment of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China.
Yuqian LiDepartment of Clinical Pharmacology, School of Pharmaceutical Science, Zhengzhou University, Zhengzhou 450001, China.ORCID 0000-0003-1276-0077
Zhenxing MaoDepartment of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China.ORCID 0009-0008-4867-8925
Chongjian WangDepartment of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China.ORCID 0000-0001-5091-6621
Jian HouDepartment of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China.
Jiaoyan ZhaoDepartment of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China.
Jianwei WangDepartment of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China.
Yuan TianDepartment of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China.
Linlin LiDepartment of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China.ORCID 0000-0001-7076-2594

Funding

Foundation for the Cultivation of Natural Science Basic Research for Young Teachers in Zhengzhou University JC23846094the Key Research and Development Program and Promotion Project in Henan Province 242102311092
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Diabetes Mellitus, Type 2DietMachine LearningPrediabetic StateAdultAgedChinaDisease ProgressionFemaleHumansMaleMiddle AgedRetrospective StudiesROC Curvedietmachine learningprediabetesprediction modeltype 2 diabetes mellitus

Identifiers

PMID40289953
PMCPMC11945017

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.