Evidence mapPaperPMID 41255513Full record

ArticleJournal of diabetes research2025

Bidirectional Mediation and Synergistic Mortality Risks in Diabetes and Cardiovascular Disease: Evidence From NHANES 2005-2018.

Zixuan Li, Rong Sun, Tiantian Huang, Zhoubo Han, Xiuping Xuan, Chenghu Huang

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Article in Journal of diabetes research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Zixuan LiDepartment of Endocrinology, Bishan Hospital of Chongqing Medical University, Bishan Hospital of Chongqing, Chongqing, China.ORCID https://orcid.org/0009-0009-2774-6826
Rong SunDepartment of Ophthalmology, Taihe Hospital, Hubei University of Medical, Shiyan, China.
Tiantian HuangDepartment of Endocrinology, Bishan Hospital of Chongqing Medical University, Bishan Hospital of Chongqing, Chongqing, China.
Zhoubo HanDepartment of Endocrinology, Bishan Hospital of Chongqing Medical University, Bishan Hospital of Chongqing, Chongqing, China.
Xiuping XuanDepartment of Endocrinology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.ORCID https://orcid.org/0000-0002-1714-4559
Chenghu HuangDepartment of Endocrinology, Bishan Hospital of Chongqing Medical University, Bishan Hospital of Chongqing, Chongqing, China.ORCID https://orcid.org/0009-0006-9630-6750

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Diabetes mellitus (DM) and cardiovascular disease (CVD) are interconnected conditions that significantly contribute to global mortality, yet their bidirectional relationship and combined mortality impact remain underexplored. Methods: Utilizing data from the NHANES 2005-2018 cohort ( Results: Over a mean follow-up of 7.37 years, diabetic/pre-existing CVD participants exhibited the highest mortality rates (61.37 all-cause and 23.88 cardiovascular deaths per 1000 person-years). Diabetes alone increased all-cause mortality by 34% (HR = 1.34, 95% CI = 1.22-1.47) and cardiovascular mortality by 32% (HR = 1.32, 1.10-1.58), while pre-existing CVD alone increased risks by 72% (HR = 1.72, 1.56-1.89) and 142% (HR = 2.42, 2.05-2.87), respectively. Comorbid diabetes/pre-existing CVD synergistically elevated all-cause mortality by 142% (HR = 2.42, 2.19-2.68) and cardiovascular mortality by 237% (HR = 3.37, 2.83-4.02). Although no statistically significant multiplicative interaction was observed, additive interaction metrics between diabetes and pre-existing CVD on mortality risks revealed a stronger synergistic effect on cardiovascular mortality (RERI = 0.64-1.17, AP = 12.01%-23.82%) than on all-cause mortality (RERI = 0.39-0.75, AP = 9.26%-18.73%). Mediation analysis demonstrated bidirectional effects: Diabetes mediated 6.82% of all-cause and 4.17% of cardiovascular mortality in pre-existing CVD patients, while pre-existing CVD mediated 5.47% and 7.87% in diabetic individuals. Conclusions: Diabetes and pre-existing CVD independently and synergistically increase mortality risks, with additive interactions particularly pronounced for cardiovascular mortality. The bidirectional mediation effects highlight the need for integrated management strategies to mitigate the compounded mortality burden.

Indexed as

Cardiovascular DiseasesDiabetes MellitusAdultAgedCause of DeathComorbidityFemaleHumansMaleMiddle AgedNutrition SurveysPropensity ScoreRisk FactorsUnited Statesbidirectionalcardiovascular diseasecausal mediation analysisdiabetesmortalitysynergistic interaction analysis

Identifiers

PMID41255513
PMCPMC12623085

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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.