The effects of misclassification in routine healthcare databases on the accuracy of prognostic prediction models: a case study of the CHA2DS2-VASc score in atrial fibrillation.

van Doorn, S; Brakenhoff, T B; Moons, K G M; Rutten, F H; Hoes, A W; Groenwold, R H H; Geersing, G J

van Doorn, S; Brakenhoff, T B; Moons, K G M; Rutten, F H; Hoes, A W; Groenwold, R H H; Geersing, G J.

Affiliation

van Doorn S; Julius Center for Health Sciences and Primary care, University Medical Center Utrecht, PO box 85500, 3508 AB Utrecht, The Netherlands.
Brakenhoff TB; Julius Center for Health Sciences and Primary care, University Medical Center Utrecht, PO box 85500, 3508 AB Utrecht, The Netherlands.
Moons KGM; Julius Center for Health Sciences and Primary care, University Medical Center Utrecht, PO box 85500, 3508 AB Utrecht, The Netherlands.
Rutten FH; Julius Center for Health Sciences and Primary care, University Medical Center Utrecht, PO box 85500, 3508 AB Utrecht, The Netherlands.
Hoes AW; Julius Center for Health Sciences and Primary care, University Medical Center Utrecht, PO box 85500, 3508 AB Utrecht, The Netherlands.
Groenwold RHH; Julius Center for Health Sciences and Primary care, University Medical Center Utrecht, PO box 85500, 3508 AB Utrecht, The Netherlands.
Geersing GJ; Julius Center for Health Sciences and Primary care, University Medical Center Utrecht, PO box 85500, 3508 AB Utrecht, The Netherlands.

Diagn Progn Res ; 1: 18, 2017.

Article in En | MEDLINE | ID: mdl-31093547

Key words

Atrial fibrillation; CHA2DS2-VASc; Misclassification; Prediction model; Routine care data; Validation

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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Diagn Progn Res Year: 2017 Document type: Article Affiliation country: Países Bajos

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