Evidence map›Paper›PMID 24463933›Full record

Trial reportDiabetologia2014

Validation of metabolic syndrome score by confirmatory factor analysis in children and adults and prediction of cardiometabolic outcomes in adults.

Anna Viitasalo, Timo A Lakka, David E Laaksonen, Kai Savonen, Hanna-Maaria Lakka, Maija Hassinen, Pirjo Komulainen, Tuomo Tompuri, Sudhir Kurl, Jari A Laukkanen and 1 more

Abstract readRandomized Controlled TrialValidation Study
PubMed Publisher
In one paragraph

Trial report in Diabetologia, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed
6.0field-weighted citation impact, top 3% 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

60 citing papers in PubMed, 106 citations in OpenAlex.

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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

11 authors at 2 institutions in 1 country.

Anna ViitasaloDepartment of Physiology, Institute of Biomedicine, University of Eastern Finland, Kuopio Campus, PO Box 1627, FIN-70211, Kuopio, Finland.
Timo A Lakka
David E Laaksonen
Kai Savonen
Hanna-Maaria Lakka
Maija Hassinen
Pirjo Komulainen
Tuomo Tompuri
Sudhir Kurl
Jari A Laukkanen
Rainer Rauramaa
University of Eastern Finland · FIKuopio University Hospital · FI

Funding

NHLBI NIH HHS HL44199
6 · The paper itself

Abstract

aims/hypothesisWe validated the metabolic syndrome (MetS) score by confirmatory factor analysis (CFA) in children, middle-aged men, and older women and men and by investigating the relationships of the MetS score to incident type 2 diabetes, myocardial infarction, and cardiovascular and overall death in middle-aged men.

methodsWe assessed the core features of MetS, calculated the MetS score using z scores for waist circumference, insulin, glucose, triacylglycerols, HDL-cholesterol and blood pressure, and carried out CFA to investigate whether MetS represents a single entity in population samples of 491 children, 1,900 middle-aged men, 614 older women and 555 older men from Finland. We also followed-up incident type 2 diabetes for 11 years and other outcomes for 17-18 years in middle-aged men.

resultsWe carried out second-order CFAs in which the MetS was represented by a second-order latent variable underlying four latent variables characterised by abdominal obesity, insulin resistance, dyslipidaemia and raised blood pressure in different age groups. These second-order factors and factors derived from first-order CFA using previously proposed models were strongly associated with a composite MetS score in all age groups (r = 0.84-0.94) and similarly predicted type 2 diabetes, cardiovascular outcomes and mortality in middle-aged men. The risk of type 2 diabetes, myocardial infarction, cardiovascular death and overall death increased 3.67-, 1.38-, 1.56- and 1.44-fold, respectively, for a 1 SD increase in the MetS score.

conclusionsThe MetS can be described as a single entity in all age groups. The MetS score is a valid tool for research evaluating cardiometabolic risk in different age groups. Further research is needed to define cut-off points for risk estimation in clinical practice.

Indexed as

AdultBlood GlucoseBlood PressureCardiovascular DiseasesChildCholesterol, HDLDiabetes Mellitus, Type 2DietExerciseFactor Analysis, StatisticalFemaleFinlandHumansInsulinInsulin ResistanceMaleBlood GlucoseCholesterol, HDLInsulinTriglycerides

Identifiers

PMID24463933
OpenAlexW2038548805

What OpenQuestion holds

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Registered trials

None linked

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.