Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 339

The DOI matches its Crossref record; 43 of the 43 references it cites were found in a registry or an index.

On the use of a continuous metabolic syndrome score in pediatric research

Open access
Eisenmann, Joey C·2008·Cardiovascular Diabetology

Abstract

BACKGROUND: The constellation of elevated levels of abdominal adiposity, blood pressure, glucose, and triglycerides and lowered high-density lipoprotein-cholesterol has been termed the metabolic syndrome. Given the current pediatric obesity epidemic, it is perhaps not surprising that recent reports suggest the emergence of the metabolic syndrome during childhood and adolescence. The aim of this paper is to provide an overview of the derivation and utility of the continuous metabolic syndrome score in pediatric epidemiologic research. METHODS/DESIGN: Data were generated from published papers related to the topic. CONCLUSION: Although there is no universal definition in children or adolescence, recent estimates indicate that approximately 2-10% of youth possess the metabolic syndrome phenotype. Since there is no clear definition and the prevalence rate is relatively low, several authors have derived a continuous score representing a composite risk factor index (i.e., the metabolic syndrome score). This paper provides an overview of the derivation and utility of the continuous metabolic syndrome score in pediatric epidemiological research.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1186/1475-2840-7-17

Cites

43 of 43 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 43 references

Cited by

See all 339

Metadata

Authors
Eisenmann, J. C.
Venue
Cardiovascular Diabetology
Published
2008
Volume
7
Issue
1
Pages
17
ISSN
1475-2840 (ISSN-L)
OpenAlex
W2103146327
Cited by
339
References
43
FWCI
7.41
Type
journal article
Language
en
Open access
gold

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: On the use of a continuous metabolic syndrome score in pediatric research. https://app.cochat.ai/papers/10.1186/1475-2840-7-17
The paper
Eisenmann, J. C. (2008). On the use of a continuous metabolic syndrome score in pediatric research. Cardiovascular Diabetology. https://doi.org/10.1186/1475-2840-7-17

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.