Evidence map›Paper›PMID 37794473›Full record

ArticleLipids in health and disease2023

Non-HDL cholesterol and long-term follow-up outcomes in patients with metabolic syndrome.

Fatemeh Vazirian, Susan Darroudi, Hamid Reza Rahimi, MohamadReza Latifi, Behrouz Shakeri, Samaneh Abolbashari, Amir Hooshang Mohammadpour, Habibollah Esmaily, Mohsen Mouhebati, Sara Samadi and 1 more

Open access · goldAbstract read
In one paragraph

Article in Lipids in health and disease, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
3.4field-weighted citation impact, top 6% of its field
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

10 citing papers in PubMed, 17 citations in OpenAlex.

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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

11 authors at 2 institutions in 1 country.

Fatemeh Vazirian *School of Pharmacy, Mashhad University of Medical Sciences, Mashhad, Iran.
Susan Darroudi *International UNESCO center for Health-Related Basic Sciences and Human Nutrition, Mashhad University of Medical Sciences, Mashhad, Iran.
Hamid Reza RahimiInternational UNESCO center for Health-Related Basic Sciences and Human Nutrition, Mashhad University of Medical Sciences, Mashhad, Iran.
MohamadReza LatifiDepartment of Biology, Mashhad Branch, Islamic Azad University, Mashhad, Iran.
Behrouz ShakeriDepartment of Biology, Mashhad Branch, Islamic Azad University, Mashhad, Iran.
Samaneh AbolbashariAntimicrobial Resistance Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
Amir Hooshang MohammadpourDepartment of Clinical Pharmacy, School of Pharmacy, Mashhad University of Medical Sciences, Mashhad, Iran.
Habibollah EsmailyDepartment of Biostatistics, School of Health, Mashhad University of Medical Sciences, Mashhad, Iran.
Mohsen MouhebatiCardiovascular Research Center, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Sara SamadiDepartment of Internal Medicine, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran. samadi.srh@gmail.com.
Majid Ghayour MobarhanInternational UNESCO center for Health-Related Basic Sciences and Human Nutrition, Mashhad University of Medical Sciences, Mashhad, Iran. ghayourm@mums.ac.ir.
Mashhad University of Medical Sciences · IRIslamic Azad University, Mashhad · IR

Funding

Mashhad University of Medical Sciences 951214
6 · The paper itself

Abstract

backgroundNon-high-density lipoprotein-cholesterol (non-HDL-C) has been identified as a potential biomarker for metabolic syndrome (MetS). However, its predictive capability for MetS varies among different ethnic groups, necessitating further investigation. This study aimed to assess the role of non-HDL-C in the early diagnosis of MetS in the Iranian population through a longitudinal study with a 10-year follow-up period.

methodsOur study enrolled 4684 individuals from the MASHAD (Mashhad Stroke and Heart Atherosclerotic Disorder) cohort who were followed for 10 years to examine the association between non-HDL-C and the incidence of MetS. Additionally, the contribution of individual MetS components to the overall burden was evaluated.

resultsA total of 1599 subjects developed MetS, while 3085 did not. Non-HDL-C levels ≥ 130 were associated with a 42% higher risk of developing MetS (relative risk (RR), 1.42; 95% confidence interval (CI), 1.25-1.62). Regarding MetS components, elevated waist circumference (WC) showed the strongest association with MetS incidence (RR, 2.32; 95% CI, 1.45-2.9), whereas triglyceride (TG) levels ≥ 150 mg/dL demonstrated the weakest association (RR, 1.23; 95% CI, 1.04-1.46). Additionally, higher HDL-C levels were reported to be 20% protective against the risk of MetS (RR, 0.8; 95% CI, 0.73-0.86). Moreover, fasting blood glucose (FBG) levels ≥ 100 mg/dL were not significantly linked to MetS burden, while systolic blood pressure (BP) levels ≥ 130 mmHg or diastolic BP levels ≥ 85 mmHg increased the risk of MetS incidence (RR, 1.25; 95% CI: 1.11-1.41).

conclusionsElevated non-HDL-C and increased WC serve as significant predictors of MetS in Iranians. Strategies targeting non-HDL-C levels and weight loss should be emphasized to mitigate the risk of MetS development.

Indexed as

Metabolic SyndromeCholesterolCholesterol, HDLFollow-Up StudiesHumansIranLipoproteinsLongitudinal StudiesRisk FactorsTriglyceridesCholesterolCholesterol, HDLLipoproteinsTriglyceridesBlood pressureCohort studyHDLMetabolic syndromenon-HDL-CTriglycerideWaist circumference

Identifiers

PMID37794473
PMCPMC10548659
OpenAlexW4387339051

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.