Evaluation of clinical dental variables to build classifiers to predict celiac disease

Autores
Mina, S.; Azcurra, A. I.; Riga, Carolina; Cornejo, L. S.; Brunotto, Mabel
Año de publicación
2008
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Objective: The aim of this study was to evaluate the use of salivary variables to build statistical models for predicting celiac disease in symptomatic children. Materials and Methods: the study group consisted of 52 children with celiac disease diagnosed by bowel biopsy, grade III or IV (4 to 12 years old, both sexes) and 23 healthy children as a control group. A logistic regression model was applied to evaluate an individual’s belonging to one group or another. The performance of the model was evaluated by the value of area under the ROC curve. The salivary variables included in the model were the concentration of total proteins, calcium, Ca / P molar ratio, buffer capacity and salivary flow. Results: The total proteins (p = 0.0016) and Ca / P molar ratio (p = 0.0237) variables were significantly associated with the celiac condition. The value of the area under the ROC curve, estimated from the probabilities of the logistic model, showed that salivary component values allow the celiac condition of patients to be predicted with 85% accuracy (p <0.0001). Conclusion: Logistic discriminant analysis built with salivary variables shows that these are good for predicting this eating pathology with 85% accuracy.
publishedVersion
Materia
Celiac disease
Diagnosis
Evaluation Studies as Topic
Dental Research
Nivel de accesibilidad
acceso abierto
Condiciones de uso
Repositorio
Repositorio Digital Universitario (UNC)
Institución
Universidad Nacional de Córdoba
OAI Identificador
oai:rdu.unc.edu.ar:11086/4887

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oai_identifier_str oai:rdu.unc.edu.ar:11086/4887
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repository_id_str 2572
network_name_str Repositorio Digital Universitario (UNC)
spelling Evaluation of clinical dental variables to build classifiers to predict celiac diseaseMina, S.Azcurra, A. I.Riga, CarolinaCornejo, L. S.Brunotto, MabelCeliac diseaseDiagnosisEvaluation Studies as TopicDental ResearchObjective: The aim of this study was to evaluate the use of salivary variables to build statistical models for predicting celiac disease in symptomatic children. Materials and Methods: the study group consisted of 52 children with celiac disease diagnosed by bowel biopsy, grade III or IV (4 to 12 years old, both sexes) and 23 healthy children as a control group. A logistic regression model was applied to evaluate an individual’s belonging to one group or another. The performance of the model was evaluated by the value of area under the ROC curve. The salivary variables included in the model were the concentration of total proteins, calcium, Ca / P molar ratio, buffer capacity and salivary flow. Results: The total proteins (p = 0.0016) and Ca / P molar ratio (p = 0.0237) variables were significantly associated with the celiac condition. The value of the area under the ROC curve, estimated from the probabilities of the logistic model, showed that salivary component values allow the celiac condition of patients to be predicted with 85% accuracy (p <0.0001). Conclusion: Logistic discriminant analysis built with salivary variables shows that these are good for predicting this eating pathology with 85% accuracy.publishedVersionMedicina Oral, Patología Oral y Cirugía Bucal2008info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdf1698-6946http://hdl.handle.net/11086/4887enginfo:eu-repo/semantics/openAccessreponame:Repositorio Digital Universitario (UNC)instname:Universidad Nacional de Córdobainstacron:UNC2025-09-29T13:41:41Zoai:rdu.unc.edu.ar:11086/4887Institucionalhttps://rdu.unc.edu.ar/Universidad públicaNo correspondehttp://rdu.unc.edu.ar/oai/snrdoca.unc@gmail.comArgentinaNo correspondeNo correspondeNo correspondeopendoar:25722025-09-29 13:41:41.636Repositorio Digital Universitario (UNC) - Universidad Nacional de Córdobafalse
dc.title.none.fl_str_mv Evaluation of clinical dental variables to build classifiers to predict celiac disease
title Evaluation of clinical dental variables to build classifiers to predict celiac disease
spellingShingle Evaluation of clinical dental variables to build classifiers to predict celiac disease
Mina, S.
Celiac disease
Diagnosis
Evaluation Studies as Topic
Dental Research
title_short Evaluation of clinical dental variables to build classifiers to predict celiac disease
title_full Evaluation of clinical dental variables to build classifiers to predict celiac disease
title_fullStr Evaluation of clinical dental variables to build classifiers to predict celiac disease
title_full_unstemmed Evaluation of clinical dental variables to build classifiers to predict celiac disease
title_sort Evaluation of clinical dental variables to build classifiers to predict celiac disease
dc.creator.none.fl_str_mv Mina, S.
Azcurra, A. I.
Riga, Carolina
Cornejo, L. S.
Brunotto, Mabel
author Mina, S.
author_facet Mina, S.
Azcurra, A. I.
Riga, Carolina
Cornejo, L. S.
Brunotto, Mabel
author_role author
author2 Azcurra, A. I.
Riga, Carolina
Cornejo, L. S.
Brunotto, Mabel
author2_role author
author
author
author
dc.subject.none.fl_str_mv Celiac disease
Diagnosis
Evaluation Studies as Topic
Dental Research
topic Celiac disease
Diagnosis
Evaluation Studies as Topic
Dental Research
dc.description.none.fl_txt_mv Objective: The aim of this study was to evaluate the use of salivary variables to build statistical models for predicting celiac disease in symptomatic children. Materials and Methods: the study group consisted of 52 children with celiac disease diagnosed by bowel biopsy, grade III or IV (4 to 12 years old, both sexes) and 23 healthy children as a control group. A logistic regression model was applied to evaluate an individual’s belonging to one group or another. The performance of the model was evaluated by the value of area under the ROC curve. The salivary variables included in the model were the concentration of total proteins, calcium, Ca / P molar ratio, buffer capacity and salivary flow. Results: The total proteins (p = 0.0016) and Ca / P molar ratio (p = 0.0237) variables were significantly associated with the celiac condition. The value of the area under the ROC curve, estimated from the probabilities of the logistic model, showed that salivary component values allow the celiac condition of patients to be predicted with 85% accuracy (p <0.0001). Conclusion: Logistic discriminant analysis built with salivary variables shows that these are good for predicting this eating pathology with 85% accuracy.
publishedVersion
description Objective: The aim of this study was to evaluate the use of salivary variables to build statistical models for predicting celiac disease in symptomatic children. Materials and Methods: the study group consisted of 52 children with celiac disease diagnosed by bowel biopsy, grade III or IV (4 to 12 years old, both sexes) and 23 healthy children as a control group. A logistic regression model was applied to evaluate an individual’s belonging to one group or another. The performance of the model was evaluated by the value of area under the ROC curve. The salivary variables included in the model were the concentration of total proteins, calcium, Ca / P molar ratio, buffer capacity and salivary flow. Results: The total proteins (p = 0.0016) and Ca / P molar ratio (p = 0.0237) variables were significantly associated with the celiac condition. The value of the area under the ROC curve, estimated from the probabilities of the logistic model, showed that salivary component values allow the celiac condition of patients to be predicted with 85% accuracy (p <0.0001). Conclusion: Logistic discriminant analysis built with salivary variables shows that these are good for predicting this eating pathology with 85% accuracy.
publishDate 2008
dc.date.none.fl_str_mv 2008
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv 1698-6946
http://hdl.handle.net/11086/4887
identifier_str_mv 1698-6946
url http://hdl.handle.net/11086/4887
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Medicina Oral, Patología Oral y Cirugía Bucal
publisher.none.fl_str_mv Medicina Oral, Patología Oral y Cirugía Bucal
dc.source.none.fl_str_mv reponame:Repositorio Digital Universitario (UNC)
instname:Universidad Nacional de Córdoba
instacron:UNC
reponame_str Repositorio Digital Universitario (UNC)
collection Repositorio Digital Universitario (UNC)
instname_str Universidad Nacional de Córdoba
instacron_str UNC
institution UNC
repository.name.fl_str_mv Repositorio Digital Universitario (UNC) - Universidad Nacional de Córdoba
repository.mail.fl_str_mv oca.unc@gmail.com
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