Evidence mapPaperPMID 41310757Full record

Observational studyEuropean journal of medical research2025

Dietary antioxidants and CKM-depression comorbidity: a primary analysis with a secondary evaluation of all-cause mortality using six machine learning algorithms.

Yi Tang, Zilong Yue, Juncang Wu, Hongwei Liu, Qiuwan Liu, Kangrui Zhang, Yueyu Zhang, Yu Wang, Shuaizhou Wang, Xinyi Chen and 3 more

Abstract readObservational Study
In one paragraph

Observational study in European journal of medical research, 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

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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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

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5 · Who and what money

Authors and funding

13 authors.

Yi Tang *Department of Neurology, Anhui Medical University, Hefei, 230032, China.
Zilong Yue *Department of General Surgery, Guoyang Branch of Anhui Provincial Hospital, Bozhou, 233500, China.
Juncang Wu *Department of Neurology, Anhui Medical University, Hefei, 230032, China.
Hongwei LiuDepartment of Neurology, Taiyuan City Central Hospital, The Ninth Clinical Medical College of Shanxi Medical University, Taiyuan, 030009, Shanxi Province, China.
Qiuwan LiuDepartment of Neurology, Anhui Medical University, Hefei, 230032, China.
Kangrui ZhangDepartment of Neurology, Anhui Medical University, Hefei, 230032, China.
Yueyu ZhangDepartment of Neurology, Anhui Medical University, Hefei, 230032, China.
Yu WangDepartment of Neurology, Anhui Medical University, Hefei, 230032, China.
Shuaizhou WangDepartment of Neurology, Anhui Medical University, Hefei, 230032, China.
Xinyi ChenDepartment of Neurology, Anhui Medical University, Hefei, 230032, China.
Xun HeDepartment of Neurology, Anhui Medical University, Hefei, 230032, China.
Jie HuDepartment of Neurology, Anhui Medical University, Hefei, 230032, China.
Zhinan YeDepartment of Neurology, Taizhou Municipal Hospital (Taizhou University Affiliated Municipal Hospital), School of Medicine, Taizhou University, Taizhou, 318000, Zhejiang Province, China. yezhinan1234@126.com.

Funding

2024 Hospital-level Scientific Research Fund Project 2024ykc012Hefei 2022 Key Common Technology Research and Development Project GJ2022SM07Medical Health Science and Technology Project of Zhejiang Provincial Health Commission No. 2025KY459
6 · The paper itself

Abstract

backgroundWe examined whether dietary antioxidant intake is associated with CKM-depression comorbidity (primary outcome) and all-cause mortality (secondary outcome) in US adults.

methodsIn an observational analysis of NHANES 2007-2010 with linked mortality, we defined the primary outcome as CKM-depression comorbidity and the secondary outcome as all-cause mortality. Predictors were selected using LASSO (linear models) and Boruta (tree-based models). Six classifiers (AdaBoost, GBDT, LGBM, RF, SVM, NB) were trained. Evaluation used stratified tenfold/nested cross-validation; all preprocessing, feature selection, and SMOTE were performed inside training folds only to avoid leakage. Discrimination metrics included ROC-AUC, PR-AUC, F1, MCC, recall, specificity; calibration was assessed on out-of-fold probabilities using Brier score and calibration slope/intercept, with reliability curves. Subsequently, associations were assessed using multivariate logistic regression (for comorbidities) and Cox proportional hazards models (for all-cause mortality). We used permutation-adjusted P-values for multiplicity, restricted cubic splines for dose-response, and Schoenfeld residuals for the proportional-hazards assumption. E-values quantified residual confounding.

resultsAmong ML models, LGBM performed best (test AUC = 0.978) with favorable calibration. In fully adjusted models, higher anthocyanidin intake was associated with lower odds of CKM-depression comorbidity: peonidin (OR = 0.716, 95% CI 0.572, 0.897), petunidin (OR = 0.749, 95% CI 0.633, 0.885), and total anthocyanidins (OR = 0.973, 95% CI 0.959, 0.988). For all-cause mortality, Cox models showed inverse associations for petunidin (HR = 0.936, 95% CI 0.900, 0.975) and total anthocyanidins (HR = 0.993, 95% CI 0.988, 0.998), whereas peonidin was not significant after permutation adjustment (HR = 0.964, 95% CI 0.929, 1.000). Restricted cubic splines suggested monotonic inverse trends; proportional-hazards tests showed no violations.

conclusionsSpecific anthocyanidins were cross-sectionally associated with lower CKM-depression comorbidity and, for petunidin and total anthocyanidins, with lower mortality hazard. Given the observational design and potential residual confounding, these findings should be interpreted as associations rather than causal or protective effects.

Indexed as

AntioxidantsDepressionMachine LearningAdultAgedAlgorithmsComorbidityFemaleHumansMaleMiddle AgedNutrition SurveysUnited StatesAntioxidantsCardiovascular–kidney–metabolic syndromeDepressionDietary antioxidantsNHANES

Identifiers

PMID41310757
PMCPMC12751877

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.