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A systematic review and meta-analysis on screening lipid disorders in the pediatric age group

BACKGROUND: Different viewpoints exist about lipid screening in all children or only in children with positive family history (FH) of premature cardiovascular diseases (CVDs) or hypercholesterolemia. This systematic review and meta-analysis aim to assess the effectiveness of lipid screening in child...

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Autores principales: Kelishadi, Roya, Haghdoost, Ali Akbar, Moosazadeh, Mahmood, Keikha, Mojtaba, Aliramezany, Maryam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medknow Publications & Media Pvt Ltd 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4766828/
https://www.ncbi.nlm.nih.gov/pubmed/26958056
http://dx.doi.org/10.4103/1735-1995.172989
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author Kelishadi, Roya
Haghdoost, Ali Akbar
Moosazadeh, Mahmood
Keikha, Mojtaba
Aliramezany, Maryam
author_facet Kelishadi, Roya
Haghdoost, Ali Akbar
Moosazadeh, Mahmood
Keikha, Mojtaba
Aliramezany, Maryam
author_sort Kelishadi, Roya
collection PubMed
description BACKGROUND: Different viewpoints exist about lipid screening in all children or only in children with positive family history (FH) of premature cardiovascular diseases (CVDs) or hypercholesterolemia. This systematic review and meta-analysis aim to assess the effectiveness of lipid screening in children and adolescents according to the existence of positive FH of CVD risk factors. MATERIALS AND METHODS: PubMed, Scopus, and Google scholar were searched to identify relevant papers that were published from November 1980 until 30 November 2013. Irrelevant studies were set aside after studying their title, abstract, and full text. Then, the relevant studies were assessed by using a quality appraisal checklist. We used random effect model for meta-analysis and calculating the total estimation of sensitivity, specificity, and the positive predictive value (PPV) of FH in predicting dyslipidemia among children and adolescents. RESULTS: Overall, 17,214 studies were identified in the primary search, out of which 19 primary studies were qualified for study entry. The sensitivity of positive FH of premature CVD or dyslipidemia for predicting dyslipidemia among children varied between 15 and 93. Moreover, the effectiveness of screening children for dyslipidemia according to premature CVD or dyslipidemia in their relatives was low in 86.9% of the primary studies. The total estimation of sensitivity, specificity, and predictive value was 42.6, 59, and 20.7, respectively, according to the meta-analysis results. CONCLUSION: The present meta-analysis indicated that selecting target population for screening children and adolescents for dyslipidemia according to their FH has low sensitivity.
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spelling pubmed-47668282016-03-08 A systematic review and meta-analysis on screening lipid disorders in the pediatric age group Kelishadi, Roya Haghdoost, Ali Akbar Moosazadeh, Mahmood Keikha, Mojtaba Aliramezany, Maryam J Res Med Sci Review Article BACKGROUND: Different viewpoints exist about lipid screening in all children or only in children with positive family history (FH) of premature cardiovascular diseases (CVDs) or hypercholesterolemia. This systematic review and meta-analysis aim to assess the effectiveness of lipid screening in children and adolescents according to the existence of positive FH of CVD risk factors. MATERIALS AND METHODS: PubMed, Scopus, and Google scholar were searched to identify relevant papers that were published from November 1980 until 30 November 2013. Irrelevant studies were set aside after studying their title, abstract, and full text. Then, the relevant studies were assessed by using a quality appraisal checklist. We used random effect model for meta-analysis and calculating the total estimation of sensitivity, specificity, and the positive predictive value (PPV) of FH in predicting dyslipidemia among children and adolescents. RESULTS: Overall, 17,214 studies were identified in the primary search, out of which 19 primary studies were qualified for study entry. The sensitivity of positive FH of premature CVD or dyslipidemia for predicting dyslipidemia among children varied between 15 and 93. Moreover, the effectiveness of screening children for dyslipidemia according to premature CVD or dyslipidemia in their relatives was low in 86.9% of the primary studies. The total estimation of sensitivity, specificity, and predictive value was 42.6, 59, and 20.7, respectively, according to the meta-analysis results. CONCLUSION: The present meta-analysis indicated that selecting target population for screening children and adolescents for dyslipidemia according to their FH has low sensitivity. Medknow Publications & Media Pvt Ltd 2015-12 /pmc/articles/PMC4766828/ /pubmed/26958056 http://dx.doi.org/10.4103/1735-1995.172989 Text en Copyright: © 2015 Journal of Research in Medical Sciences http://creativecommons.org/licenses/by-nc-sa/3.0 This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms.
spellingShingle Review Article
Kelishadi, Roya
Haghdoost, Ali Akbar
Moosazadeh, Mahmood
Keikha, Mojtaba
Aliramezany, Maryam
A systematic review and meta-analysis on screening lipid disorders in the pediatric age group
title A systematic review and meta-analysis on screening lipid disorders in the pediatric age group
title_full A systematic review and meta-analysis on screening lipid disorders in the pediatric age group
title_fullStr A systematic review and meta-analysis on screening lipid disorders in the pediatric age group
title_full_unstemmed A systematic review and meta-analysis on screening lipid disorders in the pediatric age group
title_short A systematic review and meta-analysis on screening lipid disorders in the pediatric age group
title_sort systematic review and meta-analysis on screening lipid disorders in the pediatric age group
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4766828/
https://www.ncbi.nlm.nih.gov/pubmed/26958056
http://dx.doi.org/10.4103/1735-1995.172989
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