Evidence map›Paper›PMID 41228441›Full record

ArticleNutrients2025

Interpretable Machine Learning Identification of Dietary and Metabolic Factors for Metabolic Syndrome in Southern China: A Cross-Sectional Study.

Xi Meng, Yiting Fang, Shuaijing Zhang, Panpan Huang, Jian Wen, Jiewen Peng, Xingfen Yang, Guiyuan Ji, Wei Wu

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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

9 authors.

Xi MengNMPA Key Laboratory for Safety Evaluation of Cosmetics, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou 510515, China.
Yiting FangNMPA Key Laboratory for Safety Evaluation of Cosmetics, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou 510515, China.
Shuaijing ZhangNMPA Key Laboratory for Safety Evaluation of Cosmetics, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou 510515, China.
Panpan HuangGuangdong Provincial Center for Disease Control and Prevention, Guangzhou 511400, China.
Jian WenGuangdong Provincial Center for Disease Control and Prevention, Guangzhou 511400, China.
Jiewen PengGuangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511400, China.
Xingfen YangNMPA Key Laboratory for Safety Evaluation of Cosmetics, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou 510515, China.
Guiyuan JiGuangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511400, China.
Wei WuNMPA Key Laboratory for Safety Evaluation of Cosmetics, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou 510515, China.ORCID 0000-0001-9172-7616

Funding

Talent Support Project of Guangdong Provincial Center for Disease Control and Prevention 2023D336the GDMPA Project of Scientific and Technological Innovation 2022ZDZ09the National Natural Science Foundation of China 82073599the National Natural Science Foundation of China 82373600the Special Support Program of Guangdong Province 2021TX06N107
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

DietMachine LearningMetabolic SyndromeAdultAgedBody Mass IndexChinaCross-Sectional StudiesFemaleHumansMaleMiddle AgedNutrition SurveysRisk FactorsUric AcidUric Aciddietarymachine learningmetabolic factorsmetabolic syndromesouthern China

Identifiers

PMID41228441
PMCPMC12610728

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.