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
- Institución
- Universidad Nacional de Córdoba
- OAI Identificador
- oai:rdu.unc.edu.ar:11086/4887
Ver los metadatos del registro completo
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oai:rdu.unc.edu.ar:11086/4887 |
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RDUUNC |
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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1844618908399566848 |
score |
13.070432 |