Evidence mapPaperPMID 41132574Full record

ArticleFood science & nutrition2025

Association Between Serum Micronutrients and Advanced CKM Syndrome: An Interpretable Machine Learning-Based Study.

Yi Ou, Xinyi Shao, Yidian Fu, Xiang Qu, Yuan Zhan, Qian Liu, Jin Chen, Aijun Chen, Genlong Bai, Jingbo Zhang

Abstract read
In one paragraph

Article in Food science & nutrition, 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
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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

10 authors.

Yi OuDepartment of Dermatology The First Affiliated Hospital of Chongqing Medical University Chongqing China.
Xinyi ShaoDepartment of Dermatology The First Affiliated Hospital of Chongqing Medical University Chongqing China.
Yidian FuGraduate School of Hebei Medical University Shijiazhuang Hebei China.
Xiang QuDepartment of Cardiovascular Surgery Nanfang Hospital, Southern Medical University Guangzhou China.
Yuan ZhanDepartment of Respiratory and Critical Care Medicine The First Affiliated Hospital of Chongqing Medical University Chongqing China.
Qian LiuDepartment of Dermatology The First Affiliated Hospital of Chongqing Medical University Chongqing China.
Jin ChenDepartment of Dermatology The First Affiliated Hospital of Chongqing Medical University Chongqing China.
Aijun ChenDepartment of Dermatology The First Affiliated Hospital of Chongqing Medical University Chongqing China.
Genlong BaiDepartment of Dermatology The First Affiliated Hospital of Chongqing Medical University Chongqing China.ORCID https://orcid.org/0000-0002-3256-9504
Jingbo ZhangDepartment of Dermatology The First Affiliated Hospital of Chongqing Medical University Chongqing China.ORCID https://orcid.org/0000-0002-9426-209X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

CKM is a common systemic disorder characterized by pathological and physiological interactions between the cardiovascular system. In recent years, the intake of micronutrients has been considered to be associated with CVD, CKD, and other conditions. However, the association between serum micronutrients and advanced CKM syndrome is still unclear. This study utilized data from the NHANES to analyze 6 serum micronutrients and employed the Boruta algorithm for feature selection. Subsequently, the risk of advanced CKM syndrome was predicted using 7 ML models. Additionally, SHAP and PDPs were employed to analyze the effects of serum micronutrients on advanced CKM syndrome. Results indicate that lower levels of β-carotene, α-tocopherol, lycopene, vitamin C, and 25(OH)D are associated with an increased risk of advanced CKM syndrome (all

Indexed as

advanced CKM syndromemachine learningmicronutrientsNHANESSHAP

Identifiers

PMID41132574
PMCPMC12541883

What Socratic holds

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Registered trials

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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.