Evidence map›Paper›PMID 34705333›Full record

ArticleEndocrinology, diabetes & metabolism2022

Investigating the relationship between serum uric acid to high-density lipoprotein ratio and metabolic syndrome.

Farzaneh Yazdi, Mohammad Hassan Baghaei, Amir Baniasad, Ahmad Naghibzadeh-Tahami, Hamid Najafipour, Mohammad Hossein Gozashti

Abstract read
In one paragraph

Article in Endocrinology, diabetes & metabolism, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing 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

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

48 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

6 authors.

Farzaneh YazdiNeuroscience Research Center, Institute of Neuropharmacology, Kerman University of Medical Sciences, Kerman, Iran.
Mohammad Hassan BaghaeiGastroenterology and Hepathology Research Center, Institute of Basic and Clinical Physiology Sciences, Kerman University of Medical Sciences, Kerman, Iran.
Amir BaniasadEndocrinology and Metabolism Research Center, Institute of Basic and Clinical Physiology Science, Kerman University of Medical Sciences, Kerman, Iran.ORCID 0000-0002-4609-9726
Ahmad Naghibzadeh-TahamiPhysiology Research Center, Institute of Basic and Clinical Physiology Sciences, Kerman University of Medical Sciences, Kerman, Iran.
Hamid NajafipourCardiovascular Research Center, Institute of Basic and Clinical Physiology Sciences, Kerman University of Medical Sciences, Kerman, Iran.
Mohammad Hossein GozashtiEndocrinology and Metabolism Research Center, Institute of Basic and Clinical Physiology Sciences, Kerman University of Medical Sciences, Kerman, Iran.ORCID 0000-0002-2131-3423

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsThis study aimed to determine a parameter to more easily diagnose metabolic syndrome and predict its probability of occurrence in high-risk individuals.

methodsIn this cross-sectional study, data related to the study population in the Kerman Coronary Artery Disease Risk Factor Study (KERCADRS) were examined. Subjects were divided into two groups with and without metabolic syndrome, and the relevant factors such as the ratios of uric acid to high-density lipoprotein (HDL) (UHR) in these two groups were compared, and the best cut-off point was determined.

resultsData related to 817 people including 96 people with metabolic syndrome and 721 people without metabolic syndrome were analysed. The mean UHR was significantly higher in patients with metabolic syndrome (14.76 ± 6.33%) compared with those without metabolic syndrome (10.0 ± 3.10%) (p < .001). People with high UHR are 2.9 times more at risk of metabolic syndrome and the best cut-off point was 9.50% with 86% sensitivity and 55% specificity.

conclusionsAccording to our study, UHR is also helpful in diagnosing metabolic syndrome and can also be used to screen people at risk for metabolic syndrome.

Indexed as

Metabolic SyndromeUric AcidCholesterol, HDLCross-Sectional StudiesHumansLipoproteins, HDLCholesterol, HDLLipoproteins, HDLUric AcidHDLmetabolic syndromeUHRuric acid

Identifiers

PMID34705333
PMCPMC8754234

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Registered trials

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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.