Evidence map›Paper›PMID 39521753›Full record

ArticleJournal of nephrology2025

Carotid intima media thickness and glomerular filtration rate: a baseline analysis of the PolyIran-L trial.

Alireza Dehghan, Ali Ardekani, Mohammadreza Akabri, Yasaman Sadeghi, Amir Reza Radmard, Shahin Merat, Masoud Khoshnia, Maryam Sharafkhah, Abolfazl Shiravi Khuzani, Hossein Poustchi and 2 more

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Article in Journal of nephrology, 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

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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

12 authors.

Alireza Dehghan *MPH Department, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran.
Ali Ardekani *Health Policy Research Center, Institute of Health, Shiraz University of Medical Sciences, Shiraz, Iran.
Mohammadreza AkabriNephro-Urology Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.
Yasaman SadeghiMPH Department, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran.
Amir Reza RadmardDepartment of Radiology, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran.
Shahin MeratLiver and Pancreatobiliary Diseases Research Center, Digestive Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran.
Masoud KhoshniaGolestan Research Center of Gastroenterology and Hepatology, Golestan University of Medical Sciences, Gorgan, Iran.
Maryam SharafkhahLiver and Pancreatobiliary Diseases Research Center, Digestive Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran.
Abolfazl Shiravi KhuzaniDepartment of Radiology, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran.
Hossein PoustchiLiver and Pancreatobiliary Diseases Research Center, Digestive Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran.
Reza MalekzadehLiver and Pancreatobiliary Diseases Research Center, Digestive Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran.
Hossein Molavi VardanjaniMD-MPH Department, School of Medicine, Research Center for Traditional Medicine and History of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran. Hosseinmolavi@ymail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe relationship between kidney and vascular health is acknowledged, but detailed information is still missing. This study examines the relationship of estimated glomerular filtration rate (eGFR) and carotid intima media thickness, providing insights into the association between atherosclerosis and kidney function.

methodsParticipants older than 50 years of age who were part of the PolyIran-L study, a trial nested in the Golestan Cohort Study, were included. The maximal intima media thickness of both common carotid arteries was evaluated using B-mode ultrasonography. Four different cut-off values for abnormal carotid intima media thickness were considered. Correlation of carotid intima media thickness and eGFR was assessed with linear correlation and multivariable binary logistic regression models after adjusting for several confounders.

resultsIn total, 1562 participants (750 females, 48%) were included in this population-based study. Assuming the eGFR < 45 [mL/min/1.73 m

conclusionThis study did not support the independent association of eGFR and different carotid intima media thickness cutoffs. This pattern may be different in patients with severely decreased eGFR, a subset of cases in which it should be further investigated.

Indexed as

Carotid Intima-Media ThicknessGlomerular Filtration RateKidneyAgedFemaleHumansIranMaleMiddle AgedPredictive Value of TestsRisk FactorsAtherosclerosisCarotid intima-media thicknessChronic renal insufficiencyGlomerular filtration rate

Identifiers

PMID39521753

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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 OpenQuestion graph.