Evidence map›Paper›PMID 25614859›Full record

ArticleInternational cardiovascular research journal2014

Metabolic syndrome and inflammatory biomarkers in adults: a population-based survey in Western region of iran.

Ali Maleki, Negin Rashidi, Hamidreza Aghaei Meybodi, Mahdi Montazeri, Mohammad Montazeri, Farid Falsafi, Reza Ghanavati, Saeid Forughi, Farshid Alyari

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In one paragraph

Article in International cardiovascular research journal, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.3field-weighted citation impact, top 19% 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

7 citing papers in PubMed, 15 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Metabolic syndrome and its components associated with chronic kidney disease.Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences · 2015
    Article
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  6. Review
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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

9 authors at 2 institutions in 2 countries.

Ali MalekiDepartment of Cardiology, Lorestan University of Medical Sciences, Khorramabad, IR Iran.
Negin RashidiDepartment of Internal Medicine, Tehran University of Medical Sciences, Tehran, IR Iran.
Hamidreza Aghaei MeybodiEndocrinology and Metabolism Research Center, Tehran University of Medical Sciences, Tehran, IR Iran.
Mahdi MontazeriDepartment of Cardiology, Tehran University of Medical Sciences, Tehran, IR Iran.
Mohammad MontazeriYoung Researchers Club, Islamic Azad University, Babol Branch, Babol, IR Iran.
Farid FalsafiDepartment of Thoracic and Cardiovascular Surgery, German Heart Center, Berlin, Germany.
Reza GhanavatiDepartment of Cardiology, Lorestan University of Medical Sciences, Khorramabad, IR Iran.
Saeid ForughiSchool of Nursing, Lorestan University of Medical Sciences, Khorramabad, IR Iran.
Farshid AlyariImam Khomeini Hospital, Lorestan University of Medical Sciences, Khorramabad, IR Iran.
Tehran University of Medical Sciences · IRDeutsches Herzzentrum München · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere is evidence that inflammation may be involved in pathogenesis of MetS. Inflammatory biomarkers are moving to the forefront as the potent predictors of MetS.

objectivesThe present study aimed to evaluate the association between MetS and some inflammatory biomarkers. PATIENTS AND

methodsThis community-based cross-sectional study was conducted on 800 subjects aged above 35 years selected through random sampling in Borujerd (west of Iran) from 2011 to 2013. MetS was defined based on ATP III criteria and the subjects were divided into two groups (MetS and non-MetS groups). Waist circumference and Body Mass Index (BMI) were calculated. In addition, blood samples were taken and C-Reactive Protein (CRP), lipid profile, Fasting Blood Sugar (FBS), and Bleeding Time (BT) were measured. Then, the correlations between MetS and the above-mentioned variables were estimated. After all, the data were entered into the SPSS statistical software (v. 17) and analyzed using T-test, chi-square, median test, and spearman's rank correlation.

resultsIn this study, 344 subjects (43%) met the ATP III criteria. The results showed a significant difference between MetS and non-MetS groups regarding BMI, white blood cell, total cholesterol, LDL, platelet, and high-sensitivity CPR (hs-CRP) (P < 0.0001, P = 0.040, P < 0.0001, P < 0.0001, and P = 0.045, respectively). Besides, waist circumference, Triglyceride (TG), FBS, and systolic and diastolic blood pressure were significantly higher, while HDL was significantly lower in the MetS group (P < 0.0001).

conclusionsThe incidence rate of MetS in our survey was higher compared to the previous reports. In addition, this incidence rate was higher in females in comparison to males. The results also showed a significant correlation between inflammatory biomarkers and MetS and that the higher levels of hs-CRP were associated with higher rate of MetS.

Indexed as

Body Mass IndexC-Reactive ProteinMetabolic SyndromeWaist Circumference

Identifiers

PMID25614859
PMCPMC4302503
OpenAlexW2135684619

What OpenQuestion holds

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LicenceCC BY-NC
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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.