Algorithms to Define Abnormal Growth in Children: External Validation and Head-To-Head Comparison.

There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

Abstract

Growth monitoring of apparently healthy children aims at early detection of serious conditions by use of both clinical expertise and algorithms that define abnormal growth. The seven existing algorithms provide contradictory definitions of growth abnormality and have a low level of validation.

Related collections

Author and article information

Journal

Journal ID (iso-abbrev): J Clin Endocrinol Metab

Title: The Journal of clinical endocrinology and metabolism

Publisher: The Endocrine Society

ISSN (Electronic): 1945-7197

ISSN (Print): 0021-972X

Publication date (Electronic): February 01 2019

Volume: 104

Issue: 2

Affiliations

[1 ] INSERM, UMR1153 Epidemiology and Biostatistics Sorbonne Paris Cité Center, Early Origins of the Child's Health and Development Team, Paris Descartes University, Villejuif, France.

[2 ] INSERM, UMR1153 Epidemiology and Biostatistics Sorbonne Paris Cité Center, Obstetrical, Perinatal, and Pediatric Epidemiology Research Team, Paris Descartes University, Paris, France.

[3 ] Department of General Pediatrics, Necker-Enfants Malades Hospital, Assistance Publique-Hôpitaux de Paris, Paris Descartes University, Paris, France.

[4 ] Department of Pediatric Endocrinology and Diabetology, Robert-Debré Hospital, Assistance Publique-Hôpitaux de Paris, Paris Diderot University, Reference Centre for Endocrine Growth and Development Diseases, Paris, France.

[5 ] Department of Pediatric Gastroenterology and Nutrition, Robert-Debré Hospital, Assistance Publique-Hôpitaux de Paris, Paris-Diderot University, Paris, France.

[6 ] Department of Pediatric Gastroenterology-Hepatology and Nutrition, Necker-Enfants Malades Hospital, Assistance Publique-Hôpitaux de Paris, Paris Descartes University, Paris, France.

[7 ] Unité d'Endocrinologie Pédiatrique, Fondation Ophtalmologique Adolphe de Rothschild, Paris Descartes University, Paris, France.

[8 ] Centre des Sciences du Goût et de l'Alimentation, AgroSupDijon Centre National de la Recherche Scientifique, Institut National de la Recherche Agronomique, Université Bourgogne Franche-Comté, Dijon, France.

[9 ] INSERM, UMR1153 Epidemiology and Biostatistics Sorbonne Paris Cité Center, Epidémiologie Clinique, Statistique, pour la Recherche en Santé, Service de Biostatistique et Information Médicale, Saint-Louis Hospital, Paris Diderot University, Paris, France.

Article

Publisher Item ID: 5075999

DOI: 10.1210/jc.2018-00723

PubMed ID: 30137417

SO-VID: 993cfc46-6dba-41cf-8122-4d9543ef19cb

History

Data availability:

Comments

Comment on this article

scite_

Cited by 3

See all cited by