Evidence map›Paper›PMID 41852008›Full record

ArticleArchives of Iranian medicine2025

Association of Serum Lipids with 10-Year CVD and All-Cause Mortality in Iranian Adults: A Prospective Cohort Study.

Maryam Saberi-Karimian, Maryam Mohammadi-Bajgiran, Niloofar Shabani, Farima Farsi, Sara Saffar Soflaei, Farnaz Farrokhzadeh, Hanieh Keikhay Moghadam, Habibollah Esmaily, Mohsen Moohebati, Gordon A Ferns and 2 more

Abstract read
In one paragraph

Article in Archives of Iranian medicine, 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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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

0 citing papers in PubMed.

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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

12 authors.

Maryam Saberi-KarimianMetabolic Syndrome Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.ORCID 0000-0003-2314-0471
Maryam Mohammadi-BajgiranMetabolic Syndrome Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.ORCID 0000-0002-7214-0315
Niloofar ShabaniDepartment of Biostatistics, School of Health, Tehran University of Medical Sciences, Tehran, Iran.
Farima FarsiObesity and Eating Habits Research Institute, Endocrinology and Metabolism Clinical Sciences Research Institute, Tehran University of Medical Sciences, Tehran, Iran.
Sara Saffar SoflaeiMetabolic Syndrome Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
Farnaz FarrokhzadehMetabolic Syndrome Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
Hanieh Keikhay MoghadamMetabolic Syndrome Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
Habibollah EsmailyDepartment of Biostatistics, School of Health, Mashhad University of Medical Sciences, Mashhad, Iran.
Mohsen MoohebatiHeart and Vascular Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
Gordon A FernsBrighton and Sussex Medical School, Division of Medical Education, Brighton, UK.
Mahmoud EbrahimiVascular and Endovascular Research Center, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.ORCID 0000-0001-5889-2871
Majid Ghayour-MobarhanMetabolic Syndrome Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.ORCID 0000-0002-1081-6754

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIndividuals with abnormal serum lipid levels are at an augmented risk of atherosclerotic cardiovascular diseases (CVDs). The purpose of this study was to evaluate the significance of serum lipid concentrations as determinants for the risk of CVD and all-cause mortality (ACM).

methodsThis prospective cohort study involved individuals who were part of the Mashhad stroke and heart atherosclerotic disorder (MASHAD) study initiated in 2007. A total of 9704 individuals aged 35- 65 years were involved in the current study. The participants were monitored for about a decade to track mortality and its underlying causes. Multivariable Cox proportional hazards models were applied to estimate hazard ratios (HRs) for serum levels of LDL-C, HDL-C, non-HDL-C, and triglycerides (TG), analyzed both as continuous variables and categorized into tertiles. Three models were developed: Model 1 (unadjusted), Model 2 (adjusted for age and sex), and Model 3 (further adjusted for BMI, smoking status, diabetes, hypertension, CVD, job, marital status, education level, and lipid-lowering drugs use). Kaplan-Meier survival analysis compared outcomes across lipid tertiles. Subgroup analyses were also performed to evaluate and control for confounding variables related to serum lipid levels and mortality.

resultsOver a follow-up period of 10 years, there were 429 (4.4%) deaths, including 185 cases due to CVD and 124 cases due to cancer. LDL-C, HDL-C, non-HDL cholesterol, and TG were categorized into three groups based on tertiles. Based on Cox model analysis, after full adjustment, individuals in the second (37.9-45.8 mg/dL) and third (45.8-96.2 mg/dL) tertiles of HDL-C had a significantly lower risk of ACM compared with the lowest tertile (≤37.9 mg/dL) (HR=0.72, 95% CI: 0.57-0.92; and HR=0.81, 95% CI: 0.64-1.03, respectively). Similarly, the risk of cardiovascular mortality was reduced in the second tertile (HR=0.66, 95% CI: 0.46-0.94). No significant associations were found between LDL-C and mortality after adjustment. Kaplan-Meier analyses confirmed significant survival differences across HDL-C (

conclusionAbnormal levels of serum lipids, specifically low HDL-C concentration, are associated with an elevated risk of both non-CVD and CVD mortality. These relationships were widely seen across clinical categories, exhibiting substantially greater patterns in older participants and in persons with hypertension or diabetes. These findings indicate that HDL-C may assist in identifying individuals at increased mortality risk within this population.

Indexed as

Cardiovascular DiseasesLipidsTriglyceridesAdultAgedCause of DeathCholesterol, HDLCholesterol, LDLFemaleHumansIranKaplan-Meier EstimateMaleMiddle AgedProportional Hazards ModelsProspective StudiesCholesterol, HDLCholesterol, LDLLipidsTriglyceridesCancerCardiovascular diseasesCohort studyDyslipidemiaLipidsMASHADMortalityNon-HDL Cholesterol

Identifiers

PMID41852008
PMCPMC13000341

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