Evidence map›Paper›PMID 29432480›Full record

ArticlePloS one2018

Influence of body variables in the development of metabolic syndrome-A long term follow-up study.

Chiara Pavanello, Anna Maria Zanaboni, Sabrina Gaito, Margherita Botta, Giuliana Mombelli, Cesare R Sirtori, Massimiliano Ruscica

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

4 citing papers in PubMed, 12 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Review
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

7 authors at 2 institutions in 1 country.

Chiara PavanelloCentro E. Grossi Paoletti, Dipartimento di Scienze Farmacologiche e Biomolecolari, Università degli Studi di Milano, Milan, Italy.
Anna Maria ZanaboniDipartimento di Informatica, Università degli Studi di Milano, Milan, Italy.
Sabrina GaitoDipartimento di Informatica, Università degli Studi di Milano, Milan, Italy.
Margherita BottaDipartimento di Scienze Farmacologiche e Biomolecolari, Università degli Studi di Milano, Milan, Italy.
Giuliana MombelliDyslipidemia Center, A.S.S.T. Grande Ospedale Metropolitano Niguarda, Milan, Italy.
Cesare R SirtoriDyslipidemia Center, A.S.S.T. Grande Ospedale Metropolitano Niguarda, Milan, Italy.
Massimiliano RuscicaDipartimento di Scienze Farmacologiche e Biomolecolari, Università degli Studi di Milano, Milan, Italy.ORCID 0000-0002-0195-7061
University of Milan · ITAzienda Socio Sanitaria Territoriale Grande Ospedale Metropolitano Niguarda · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe body variable associated with the diagnosis of Metabolic Syndrome (MetS) is an elevated waist circumference (WC), although a number of other variables have been suggested. Among these, an elevated waist-to-height ratio (WHtR), ie a value higher than 0.5, that may identify abnormality, independently from height. An elevated WHtR provided the best correlation with MetS in a prior study in a large Italian population. In order to assess the validity of this conclusion, a long-term follow-up study re-examined this population, also in order to detect possible associations with cardiovascular (CV) risk. METHODS AND

results1,071 subjects with a complete follow-up of over 6 years were evaluated with a comparative assessment of the three anthropometric variables, namely WHtR, WC and body mass index (BMI). WHtR≥ 0.5 had the highest sensitivity for the identification of MetS, both in males and females (94.1% and 86.7% respectively). WHtR was of reduced specificity, occurring, yet less frequently (17.7% in males and 30% in females), in patients without MetS. By contrast, enlarged WC occurred with a lower frequency in male patients who developed MetS (30.2%) whereas in females, frequency was higher than in males (69.3%). Finally, a BMI≥ 25 kg/m2 had intermediate sensitivity and specificity regardless of gender. WC showed the highest odds ratio (2.62, 95%CI: 1.18-5.78) for the prediction of CV occurrence.

conclusionThe present study confirms WHtR as an excellent screening tool in identifying MetS carriers, but, different from reports in other countries, it shows a lower specificity in our population.

Indexed as

Waist-Hip RatioAgedFemaleFollow-Up StudiesHumansMaleMetabolic SyndromeMiddle AgedPrevalenceRisk Factors

Identifiers

PMID29432480
PMCPMC5809080
OpenAlexW2792210973

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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.