Epidemiology of Inflammatory Bowel Diseases (IBD) in Iran: A review of 740 patients in Fars province, Southern Iran.

Background Pouchitis is a non-specific inflammation of the ileal reservoir and the most frequent complication that patients experience in long periods. Diagnosis should be made based on the clinical, endoscopic, and histological aspects. Prediction of pouchitis is an important issue for the physici...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autor principal:	John F.Mayberry
Formato:	article
Lenguaje:	EN
Publicado:	Shiraz University of Medical Sciences 2013
Materias:	crohn’s ulcerative colitis epidemiology Medicine R
Acceso en línea:	https://doaj.org/article/495a90301a7f41ab8327987da4e7d51a
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:495a90301a7f41ab8327987da4e7d51a
record_format	dspace
spelling	oai:doaj.org-article:495a90301a7f41ab8327987da4e7d51a2021-11-14T07:53:33ZEpidemiology of Inflammatory Bowel Diseases (IBD) in Iran: A review of 740 patients in Fars province, Southern Iran.2783-243010.17795/acr-14321https://doaj.org/article/495a90301a7f41ab8327987da4e7d51a2013-09-01T00:00:00Zhttps://colorectalresearch.sums.ac.ir/article_45453_6330cc1cd3d6965b996fae7ae15f3e61.pdfhttps://doaj.org/toc/2783-2430Background Pouchitis is a non-specific inflammation of the ileal reservoir and the most frequent complication that patients experience in long periods. Diagnosis should be made based on the clinical, endoscopic, and histological aspects. Prediction of pouchitis is an important issue for the physician. Objectives The study was aimed to identify the predictive factors of pouchitis as well as their importance. Patients and Methods In the present study, two classification techniques entitled decision trees method and logistic regression analysis were used to help the physician in prediction of pouchitis in ulcerative colitis (UC) patients. These patients are submitted to a specific surgery. The ability of these two methods in prediction is achieved by comparison of the accuracy of the correct predictions (the minimum error rate) and the interpretability and simplification of the results for clinical experts. Results The accuracy rate in prediction is 0.6 for logistic regression method and 0.45 for decision tree algorithm. In addition, the mean squared error is lower for logistic regression (0.41 versus 0.48). However, the area under the ROC is more for decision tree than logistic regression (0.52 and 0.45 respectively). Conclusions The results are not in favor of none of these two methods. However, the simplicity of decision tree for clinical experts and theoretical assumptions of logistic regression method make the choice clear. But more sample size may be needed to choose the best model with more confident.John F.MayberryShiraz University of Medical Sciencesarticlecrohn’sulcerative colitisepidemiologyMedicineRENIranian Journal of Colorectal Research, Vol 1, Iss 2, Pp 7-0 (2013)
institution	DOAJ
collection	DOAJ
language	EN
topic	crohn’s ulcerative colitis epidemiology Medicine R
spellingShingle	crohn’s ulcerative colitis epidemiology Medicine R John F.Mayberry Epidemiology of Inflammatory Bowel Diseases (IBD) in Iran: A review of 740 patients in Fars province, Southern Iran.
description	Background Pouchitis is a non-specific inflammation of the ileal reservoir and the most frequent complication that patients experience in long periods. Diagnosis should be made based on the clinical, endoscopic, and histological aspects. Prediction of pouchitis is an important issue for the physician. Objectives The study was aimed to identify the predictive factors of pouchitis as well as their importance. Patients and Methods In the present study, two classification techniques entitled decision trees method and logistic regression analysis were used to help the physician in prediction of pouchitis in ulcerative colitis (UC) patients. These patients are submitted to a specific surgery. The ability of these two methods in prediction is achieved by comparison of the accuracy of the correct predictions (the minimum error rate) and the interpretability and simplification of the results for clinical experts. Results The accuracy rate in prediction is 0.6 for logistic regression method and 0.45 for decision tree algorithm. In addition, the mean squared error is lower for logistic regression (0.41 versus 0.48). However, the area under the ROC is more for decision tree than logistic regression (0.52 and 0.45 respectively). Conclusions The results are not in favor of none of these two methods. However, the simplicity of decision tree for clinical experts and theoretical assumptions of logistic regression method make the choice clear. But more sample size may be needed to choose the best model with more confident.
format	article
author	John F.Mayberry
author_facet	John F.Mayberry
author_sort	John F.Mayberry
title	Epidemiology of Inflammatory Bowel Diseases (IBD) in Iran: A review of 740 patients in Fars province, Southern Iran.
title_short	Epidemiology of Inflammatory Bowel Diseases (IBD) in Iran: A review of 740 patients in Fars province, Southern Iran.
title_full	Epidemiology of Inflammatory Bowel Diseases (IBD) in Iran: A review of 740 patients in Fars province, Southern Iran.
title_fullStr	Epidemiology of Inflammatory Bowel Diseases (IBD) in Iran: A review of 740 patients in Fars province, Southern Iran.
title_full_unstemmed	Epidemiology of Inflammatory Bowel Diseases (IBD) in Iran: A review of 740 patients in Fars province, Southern Iran.
title_sort	epidemiology of inflammatory bowel diseases (ibd) in iran: a review of 740 patients in fars province, southern iran.
publisher	Shiraz University of Medical Sciences
publishDate	2013
url	https://doaj.org/article/495a90301a7f41ab8327987da4e7d51a
work_keys_str_mv	AT johnfmayberry epidemiologyofinflammatoryboweldiseasesibdiniranareviewof740patientsinfarsprovincesoutherniran
_version_	1718429830360334336

Epidemiology of Inflammatory Bowel Diseases (IBD) in Iran: A review of 740 patients in Fars province, Southern Iran.

Ejemplares similares