Evidence mapPaperPMID 40754582Full record

ArticleJournal of health, population, and nutrition2025

Association of magnesium depletion score with all-cause and cardiovascular mortality in hyperlipidemia adults: a large nationwide population-based study.

Chengxing Liu, Yuntao Feng, Fan Ping, Litang Huang, Jun Qian, Li Zhou, Fei Chen, Xuebo Liu

Abstract read
In one paragraph

Article in Journal of health, population, and nutrition, 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. 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

8 authors.

Chengxing LiuDepartment of Cardiology, Tongji Hospital of Tongji University, Tongji University, School of Medicine, No. 389 Xincun Road, Shanghai, 200065, China.
Yuntao FengDepartment of Cardiology, Tongji Hospital of Tongji University, Tongji University, School of Medicine, No. 389 Xincun Road, Shanghai, 200065, China.
Fan PingDepartment of Cardiology, Tongji Hospital of Tongji University, Tongji University, School of Medicine, No. 389 Xincun Road, Shanghai, 200065, China.
Litang HuangDepartment of Radiation Oncology, Shanghai Pulmonary Hospital, Tongji University, School of Medicine, Shanghai, 200433, China.
Jun QianDepartment of Cardiology, Tongji Hospital of Tongji University, Tongji University, School of Medicine, No. 389 Xincun Road, Shanghai, 200065, China.
Li ZhouState Key Laboratory of Neurology and Oncology Drug Development, Nanjing, China.
Fei ChenDepartment of Cardiology, Tongji Hospital of Tongji University, Tongji University, School of Medicine, No. 389 Xincun Road, Shanghai, 200065, China. riverapt@126.com.
Xuebo LiuDepartment of Cardiology, Tongji Hospital of Tongji University, Tongji University, School of Medicine, No. 389 Xincun Road, Shanghai, 200065, China. lxb70@hotmail.com.

Funding

Grant of Shanghai Municipal Health Commission 202440145National Natural Science Foundation of China 82170346Shanghai Science and Technology Committee 22Y11901600Shanghai Tongji Hospital clinical research and cultivation project ITJ(QN)2203Shanghai Tongji Hospital clinical research and cultivation project ITJ(ZD)2307
6 · The paper itself

Abstract

backgroundMagnesium, an essential dietary trace element, plays a crucial role in numerous physiological processes, and its deficiency has been associated with the development of hyperlipidemia. However, its potential to predict long-term outcomes and inform risk stratification in hyperlipidemic patients remains underexplored.

methodsThis retrospective cohort study introduces the magnesium depletion score (MgDS), a novel index for quantifying magnesium deficiency, and investigates its association with mortality outcomes in individuals with hyperlipidemia. Data from 12,592 participants in the National Health and Nutrition Examination Survey (NHANES) from 1999 to 2018 were analyzed. Advanced statistical methods, including weighted Cox proportional hazards models, restricted cubic spline (RCS) analysis, Kaplan-Meier survival curves, and receiver operating characteristic (ROC) analysis, were employed to assess the association between MgDS and mortality risks.

resultsThe results indicate that higher MgDS is significantly associated with increased risks of both all-cause and cardiovascular mortality in individuals with hyperlipidemia, even after adjusting for confounders. Subgroup analyses identified prediabetes, smoking, and alcohol consumption as significant modifiers of this association. RCS analysis confirmed a linear relationship between MgDS and mortality, further supporting its value as a reliable predictor of long-term outcomes. ROC analysis demonstrated the potential of MgDS as an independent tool for predicting mortality at 1, 3, and 5 years. Notably, high MgDS levels in hyperlipidemic individuals with binge drinking habits were associated with significantly higher mortality risks.

conclusionsThese results establish MgDS as a promising biomarker for mortality risk stratification in patients with hyperlipidemia. This novel index offers important insights for clinical practice and could facilitate the development of tailored management strategies, particularly for high-risk hyperlipidemia populations, to mitigate long-term health risks.

Indexed as

Cardiovascular DiseasesHyperlipidemiasMagnesiumMagnesium DeficiencyAdultAgedFemaleHumansMaleMiddle AgedNutrition SurveysProportional Hazards ModelsRetrospective StudiesRisk AssessmentRisk FactorsUnited StatesMagnesiumCardiovascular mortalityHyperlipidemiaMagnesium deficiencyMagnesium depletion score (MgDS)

Identifiers

PMID40754582
PMCPMC12318386

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.