Protocol for development and validation of a prediction model for 5-year risk of incident overactive bladder in the general population: the Nagahama study.
Background: An accurate prediction model could identify high-risk subjects of incident Overactive bladder (OAB) among the general population and enable early prevention which may save on the related medical costs. However, no efficient model has been developed for predicting incident OAB. In this st...
| Publicado en: | BMC Urology Vol. 21; no. 1; pp. 1 - 7 |
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| Autores principales: | , , , , , , , , , , , |
| Formato: | Journal Article |
| Publicado: |
BioMed Central
5/13/2021
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=150301692&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 150301692 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 14712490 1CIO jtl: BMC Urology issn: 14712490 maglogo: N pubinfo: dt: 5/13/2021 vid: 21 iid: 1 pid: 24147 pub: BioMed Central artinfo: ui: 150301692 150301692 NLM33985490 10.1186/s12894-021-00848-x NLM33985490 150301692 ppf: 1 ppct: 6 formats: tig: atl: Protocol for development and validation of a prediction model for 5-year risk of incident overactive bladder in the general population: the Nagahama study. aug: au: Funada, Satoshi Luo, Yan Yoshioka, Takashi Setoh, Kazuya Tabara, Yasuharu Negoro, Hiromitsu Akamatsu, Shusuke Yoshimura, Koji Matsuda, Fumihiko Furukawa, Toshi A. Efthimiou, Orestis Ogawa, Osamu affil: Department of Urology, Faculty of Medicine, Kyoto University Graduate School of Medicine, 54 Shogoinkawahara-cho, Sakyo-ku, 606-8507, Kyoto, Japan sug: subj: Study Design Validation Studies Models, Statistical Overactive Bladder Epidemiology Risk Assessment Male Time Factors Prospective Studies Incidence Prognosis Female Scales Male Female ab: Background: An accurate prediction model could identify high-risk subjects of incident Overactive bladder (OAB) among the general population and enable early prevention which may save on the related medical costs. However, no efficient model has been developed for predicting incident OAB. In this study, we will develop a model for predicting the onset of OAB at 5-year in the general population setting.Methods: Data will be obtained from the Nagahama Cohort Project, a longitudinal, general population cohort study. The baseline characteristics were measured between Nov 28, 2008 and Nov 28, 2010, and follow-up was performed every 5 years. From the total of 9,764 participants (male: 3,208, female: 6,556) at baseline, we will exclude participants who could not attend the follow-up assessment and those who were defined as having OAB at baseline. The outcome will be incident OAB defined using the Overactive Bladder Symptom Score (OABSS) at follow-up assessment. Baseline questionnaires (demographic, health behavior, comorbidities and OABSS) and blood test data will be included as predictors. We will develop a logistic regression model utilizing shrinkage methods (LASSO penalization method). Model performance will be evaluated by discrimination and calibration. Net benefit will be evaluated by decision curve analysis. We will perform an internal validation and a temporal validation of the model. We will develop a web-based application to visualize the prediction model and facilitate its use in clinical practice.Discussion: This will be the first study to develop a model to predict the incidence of OAB. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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