Evidence map›Paper›PMID 30122967›Full record

ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2018

Prevalence of the metabolic syndrome according to different criteria in the male population during the Blue November Campaign in Natal, RN, Northeastern Brazil.

Regina Carmen Espósito, Paulo Jose de Medeiros, Fernando de Souza Silva, Antonio Gouveia Oliveira, Cícero Flávio Soares Aragão, Hugo Alexandre Oliveira Rocha, Sueli Aparecida Moreira, Valéria Soraya de Farias Sales

Abstract read
In one paragraph

Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Effect ofCurrent medicinal chemistry · 2025
    Pooled it
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  7. Association of Metabolic Syndrome and Its Components with Survival of Older Adults.International journal of endocrinology and metabolism · 2020
    Article
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

8 authors.

Regina Carmen EspósitoDepartment of Clinical and Toxicology Analysis, Clinical Immunology Laboratory, Postgraduate Program in Development in Innovation Technogical in Medicines, Federal University of Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil, rcesposito@yahoo.com.br.
Paulo Jose de MedeirosDivision of Urology, Department of Integrated Medicine, Federal University of Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil.
Fernando de Souza SilvaUrology Clinic University of Hospital Onofre Lopes, Federal University of Rio Grande do Norte, Natal, RN, Brazil.
Antonio Gouveia OliveiraDepartment of Pharmacy, Federal University of Rio Grande of Norte, Natal, Rio Grande do Norte, Brazil.
Cícero Flávio Soares AragãoDepartment of Pharmacy, Federal University of Rio Grande of Norte, Natal, Rio Grande do Norte, Brazil.
Hugo Alexandre Oliveira RochaDepartment of Biochemistry, Biosciences Center, Federal University of Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil.
Sueli Aparecida MoreiraHideas Feeding and Nutritional Security Research Group, Biosciences Center, Federal University of Rio Grande do Norte, Natal, RN, Brazil.
Valéria Soraya de Farias SalesDepartment of Clinical and Toxicology Analysis, Clinical Immunology Laboratory, Postgraduate Program in Development in Innovation Technogical in Medicines, Federal University of Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil, rcesposito@yahoo.com.br.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMetabolic syndrome (MetS) is an aggregation of risk factors associated with increased incidence of cardiovascular disease, type 2 diabetes mellitus, and all-cause mortality. Information on MetS prevalence is scarce in the northeast region, Brazil. This study aims to estimate the prevalence of MetS according to different diagnostic criteria in a community sample of men during the November Blue Campaign living in the metropolitan area of Natal, Rio Grande do Norte, Brazil.

methodsThis is a cross-sectional study on 500 men aged 40 years or older invited by the Blue November Campaign of 2015, an awareness program aimed at the prevention of male diseases. The evaluation included blood pressure, anthropometric measurements (weight, height, and waist circumference), fasting blood glucose, and blood lipid profile. The diagnosis of MetS was made according to the criteria of International Diabetes Federation (IDF)/American Heart Association (AHA)/National Heart, Lung, and Blood Institute (NHLBI), IDF, and National Cholesterol Education Program's Adult Treatment Panel III (NCEP-ATPIII).

resultsThe prevalence was high by considering the following three criteria: IDF/AHA/NHLBI (66.8%), IDF (60.0%), and NCEP-ATPIII (46.4%). Concordance between diagnostic criteria measured by the kappa statistic (

conclusionPrevalence of MetS in the male population was high using the three diagnostic criteria. IDF/AHA/NHLBI and IDF criteria have a high level of agreement, but NCEP-ATPIII criteria identify a lower number of MetS cases.

Indexed as

male populationmetabolic syndromepreventive medicine

Identifiers

PMID30122967
PMCPMC6084070

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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.