Evidence mapPaperPMID 41530654Full record

ArticleDiabetes & vascular disease research

Interaction between insulin resistance and depression in predicting cardiovascular risk: Evidence from a longitudinal study.

Siyu Chen, Lijing Yang, Yu Zhou, Hao Yu

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In one paragraph

Article in Diabetes & vascular disease research. 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

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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

4 authors.

Siyu ChenDepartment of Clinical Laboratory, The First People's Hospital of Chengdu Shuangliu District/Sichuan University West China Airport Hospital, Chengdu, China.
Lijing YangDepartment of Clinical Laboratory, The First People's Hospital of Chengdu Shuangliu District/Sichuan University West China Airport Hospital, Chengdu, China.
Yu ZhouDepartment of Clinical Laboratory, The First People's Hospital of Chengdu Shuangliu District/Sichuan University West China Airport Hospital, Chengdu, China.ORCID 0009-0005-5447-8530
Hao YuDepartment of Clinical Laboratory, The First People's Hospital of Chengdu Shuangliu District/Sichuan University West China Airport Hospital, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BackgroundDepression and insulin resistance-measured by the estimated glucose disposal rate (eGDR)-are both linked to cardiovascular disease (CVD), but whether eGDR mediates this relationship remains unclear. We examined the mediating role of eGDR and its joint and interactive effects with depression on incident CVD.MethodsData were derived from the China Health and Retirement Longitudinal Study (2011-2020). Participants without baseline CVD and with complete eGDR and CESD-10 data were included. eGDR was calculated as 21.158 - (0.09 × waist circumference) - (3.407 × hypertension) - (0.551 × HbA1c). Depressive symptoms were defined as CESD-10 ≥ 12. Cox models adjusted for demographic and lifestyle factors assessed CVD risk across four groups defined by eGDR and depression status.ResultsDuring a median 9-years follow-up, 1643 CVD events occurred. Participants with low eGDR and depression had the highest CVD risk (HR = 1.87, 95% CI: 1.40-2.49,

Indexed as

Blood GlucoseCardiovascular DiseasesDepressionInsulin ResistanceAgedBiomarkersChinaFemaleHeart Disease Risk FactorsHumansIncidenceLongitudinal StudiesMaleMiddle AgedPrognosisRisk AssessmentBiomarkersBlood Glucosecardiovascular diseaseCHARLSdepressionestimated glucose disposal rateinteraction effectsmediation analysis

Identifiers

PMID41530654
PMCPMC12799976

What Socratic holds

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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.