RELEASE-HF study: a protocol for an observational, registry-based study on the effectiveness of telemedicine in heart failure in the Netherlands

Autor: Rudolf A de Boer, Johannes B Reitsma, Frans H Rutten, Folkert W Asselbergs, Tiny Jaarsma, Ewoud Schuit, Eric Wierda, Marco C Post, Kim Luijken, Stefan Koudstaal, Jaap C A Trappenburg, Geert W J Frederix, Jeroen Schaap, Gerard CM Linssen, Jorna van Eijk, Lineke Derks, Jasper Brugts, C Jan Borleffs, Dirk H Dalen, Ayten Erol-Yilmaz, M Louis Handoko, Gerardus PJ Hout, Jaco Houtgraaf, Wouter W Klomp, Manon G van Meer, Sandra Sanders Wijk, Stijn CW Wouter

Publikováno v: BMJ Open, Vol 14, Iss 1 (2024)

Introduction Meta-analyses show postive effects of telemedicine in heart failure (HF) management on hospitalisation, mortality and costs. However, these effects are heterogeneous due to variation in the included HF population, the telemedicine compon

Externí odkaz: https://doaj.org/article/8a9ba9ef959548d0a43c724f590a4ef4

Quantitative prediction error analysis to investigate predictive performance under predictor measurement heterogeneity at model implementation

Autor: Kim Luijken, Jia Song, Rolf H. H. Groenwold

Publikováno v: Diagnostic and Prognostic Research, Vol 6, Iss 1, Pp 1-11 (2022)

Abstract Background When a predictor variable is measured in similar ways at the derivation and validation setting of a prognostic prediction model, yet both differ from the intended use of the model in practice (i.e., “predictor measurement hetero

Externí odkaz: https://doaj.org/article/b9f4f6b777de4de88727a41598b09a9f

A study protocol of external validation of eight COVID-19 prognostic models for predicting mortality risk in older populations in a hospital, primary care, and nursing home setting

Autor: Anum Zahra, Kim Luijken, Evertine J. Abbink, Jesse M. van den Berg, Marieke T. Blom, Petra Elders, Jan Festen, Jacobijn Gussekloo, Karlijn J. Joling, René Melis, Simon Mooijaart, Jeannette B. Peters, Harmke Polinder-Bos, Bas F. M. van Raaij, Annemieke Smorenberg, Hannah M. la Roi-Teeuw, Karel G.M. Moons, Maarten van Smeden

Background: The COVID-19 pandemic has a large impact worldwide and is known to particularly affect the older population. This paper outlines the protocol for external validation of prognostic models predicting mortality risk after presentation with C

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d4398f4a7f408065550f5534eaf3bce4
https://doi.org/10.21203/rs.3.rs-2258662/v1

A comparison of full model specification and backward elimination of potential confounders when estimating marginal and conditional causal effects on binary outcomes from observational data

Autor: Kim, Luijken, Rolf H H, Groenwold, Maarten, van Smeden, Susanne, Strohmaier, Georg, Heinze

Publikováno v: Biometrical Journal. WILEY
Biometrical Journal

A common view in epidemiology is that automated confounder selection methods, such as backward elimination, should be avoided as they can lead to biased effect estimates and underestimation of their variance. Nevertheless, backward elimination remain

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ab472d9f48c02095f9d5b312e40d9129
https://doi.org/10.1002/bimj.202100237

Prediction meets causal inference: the role of treatment in clinical prediction models

Autor: Kim Luijken, Hans C. van Houwelingen, Tim P. Morris, Hein Putter, Rolf H.H. Groenwold, Saskia le Cessie, Nan van Geloven, Sonja A. Swanson, Merel van Diepen, Chava L Ramspek

Publikováno v: European Journal of Epidemiology
European Journal of Epidemiology, 35, 619-630. SPRINGER
European Journal of Epidemiology, 35(7), 619-630. Springer Netherlands

In this paper we study approaches for dealing with treatment when developing a clinical prediction model. Analogous to the estimand framework recently proposed by the European Medicines Agency for clinical trials, we propose a `predictimand' framewor

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::226038cddc755b43fb2a2eaa16301b44
http://europepmc.org/articles/PMC7387325