Search Results - "Moons, Karel G M"

Predictive Accuracy of a Polygenic Risk Score–Enhanced Prediction Model vs a Clinical Risk Score for Coronary Artery Disease by Elliott, Joshua, Bodinier, Barbara, Bond, Tom A, Chadeau-Hyam, Marc, Evangelou, Evangelos, Moons, Karel G. M, Dehghan, Abbas, Muller, David C, Elliott, Paul, Tzoulaki, Ioanna

“…IMPORTANCE: The incremental value of polygenic risk scores in addition to well-established risk prediction models for coronary artery disease (CAD) is…”
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Risk prediction models: II. External validation, model updating, and impact assessment by Moons, Karel G M, Kengne, Andre Pascal, Grobbee, Diederick E, Royston, Patrick, Vergouwe, Yvonne, Altman, Douglas G, Woodward, Mark

“…Clinical prediction models are increasingly used to complement clinical reasoning and decision-making in modern medicine, in general, and in the cardiovascular…”
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Prognosis Research Strategy (PROGRESS) 3: prognostic model research by Steyerberg, Ewout W, Moons, Karel G M, van der Windt, Danielle A, Hayden, Jill A, Perel, Pablo, Schroter, Sara, Riley, Richard D, Hemingway, Harry, Altman, Douglas G

“…Prognostic models are abundant in the medical literature yet their use in practice seems limited. In this article, the third in the PROGRESS series, the…”
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Prognosis Research Strategy (PROGRESS) 2: prognostic factor research by Riley, Richard D, Hayden, Jill A, Steyerberg, Ewout W, Moons, Karel G M, Abrams, Keith, Kyzas, Panayiotis A, Malats, Núria, Briggs, Andrew, Schroter, Sara, Altman, Douglas G, Hemingway, Harry

“…Prognostic factor research aims to identify factors associated with subsequent clinical outcome in people with a particular disease or health condition. In…”
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Reporting and methods in clinical prediction research: a systematic review by Bouwmeester, Walter, Zuithoff, Nicolaas P A, Mallett, Susan, Geerlings, Mirjam I, Vergouwe, Yvonne, Steyerberg, Ewout W, Altman, Douglas G, Moons, Karel G M

“…We investigated the reporting and methods of prediction studies, focusing on aims, designs, participant selection, outcomes, predictors, statistical power,…”
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Beyond Diagnostic Accuracy: The Clinical Utility of Diagnostic Tests by BOSSUYT, Patrick M. M, REITSMA, Johannes B, LINNET, Kristian, MOONS, Karel G. M

“…Like any other medical technology or intervention, diagnostic tests should be thoroughly evaluated before their introduction into daily practice. Increasingly,…”
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No rationale for 1 variable per 10 events criterion for binary logistic regression analysis by van Smeden, Maarten, de Groot, Joris A H, Moons, Karel G M, Collins, Gary S, Altman, Douglas G, Eijkemans, Marinus J C, Reitsma, Johannes B

“…Ten events per variable (EPV) is a widely advocated minimal criterion for sample size considerations in logistic regression analysis. Of three previous…”
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Performance of the Framingham risk models and pooled cohort equations for predicting 10-year risk of cardiovascular disease: a systematic review and meta-analysis by Damen, Johanna A, Pajouheshnia, Romin, Heus, Pauline, Moons, Karel G M, Reitsma, Johannes B, Scholten, Rob J P M, Hooft, Lotty, Debray, Thomas P A

“…The Framingham risk models and pooled cohort equations (PCE) are widely used and advocated in guidelines for predicting 10-year risk of developing coronary…”
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Improvements in risk stratification for the occurrence of cardiovascular disease by imaging subclinical atherosclerosis: a systematic review by Peters, Sanne A E, den Ruijter, Hester M, Bots, Michiel L, Moons, Karel G M

“…Imaging for subclinical atherosclerosis on top of conventional risk factor assessment may improve risk prediction for the occurrence of cardiovascular disease…”
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Completeness of reporting of clinical prediction models developed using supervised machine learning: a systematic review by Andaur Navarro, Constanza L, Damen, Johanna A A, Takada, Toshihiko, Nijman, Steven W J, Dhiman, Paula, Ma, Jie, Collins, Gary S, Bajpai, Ram, Riley, Richard D, Moons, Karel G M, Hooft, Lotty

“…While many studies have consistently found incomplete reporting of regression-based prediction model studies, evidence is lacking for machine learning-based…”
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Individual participant data meta-analysis for a binary outcome: one-stage or two-stage? by Debray, Thomas P A, Moons, Karel G M, Abo-Zaid, Ghada Mohammed Abdallah, Koffijberg, Hendrik, Riley, Richard David

“…A fundamental aspect of epidemiological studies concerns the estimation of factor-outcome associations to identify risk factors, prognostic factors and…”
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Guidelines and quality criteria for artificial intelligence-based prediction models in healthcare: a scoping review by de Hond, Anne A. H., Leeuwenberg, Artuur M., Hooft, Lotty, Kant, Ilse M. J., Nijman, Steven W. J., van Os, Hendrikus J. A., Aardoom, Jiska J., Debray, Thomas P. A., Schuit, Ewoud, van Smeden, Maarten, Reitsma, Johannes B., Steyerberg, Ewout W., Chavannes, Niels H., Moons, Karel G. M.

“…While the opportunities of ML and AI in healthcare are promising, the growth of complex data-driven prediction models requires careful quality and…”
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Poor reporting of multivariable prediction model studies: towards a targeted implementation strategy of the TRIPOD statement by Heus, Pauline, Damen, Johanna A A G, Pajouheshnia, Romin, Scholten, Rob J P M, Reitsma, Johannes B, Collins, Gary S, Altman, Douglas G, Moons, Karel G M, Hooft, Lotty

“…As complete reporting is essential to judge the validity and applicability of multivariable prediction models, a guideline for the Transparent Reporting of a…”
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Expansion of the prognostic assessment of patients with chronic obstructive pulmonary disease: the updated BODE index and the ADO index by Puhan, Milo A, PhD, Garcia-Aymerich, Judith, PhD, Frey, Martin, MD, ter Riet, Gerben, PhD, Antó, Josep M, Prof, Agustí, Alvar G, PhD, Gómez, Federico P, MD, Rodríguez-Roisín, Roberto, Prof, Moons, Karel GM, Prof, Kessels, Alphons G, MD, Held, Ulrike, PhD

“…Summary Background The BODE index (including body-mass index, airflow obstruction, dyspnoea, and exercise capacity) was an important contribution to the…”
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Methodological conduct of prognostic prediction models developed using machine learning in oncology: a systematic review by Dhiman, Paula, Ma, Jie, Andaur Navarro, Constanza L, Speich, Benjamin, Bullock, Garrett, Damen, Johanna A A, Hooft, Lotty, Kirtley, Shona, Riley, Richard D, Van Calster, Ben, Moons, Karel G M, Collins, Gary S

“…Describe and evaluate the methodological conduct of prognostic prediction models developed using machine learning methods in oncology. We conducted a…”
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Intraoperative Hypotension and 1-Year Mortality after Noncardiac Surgery by BIJKER, Jilles B, VAN KLEI, Wilton A, VERGOUWE, Yvonne, ELEVELD, Douglas J, VAN WOLFSWINKEL, Leo, MOONS, Karel G. M, KALKMAN, CorJ

“…Intraoperative hypotension (IOH) is frequently associated with adverse outcome such as 1-yr mortality. However, there is no consensus on the correct definition…”
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Get real in individual participant data (IPD) meta-analysis: a review of the methodology by Debray, Thomas P. A., Moons, Karel G. M., van Valkenhoef, Gert, Efthimiou, Orestis, Hummel, Noemi, Groenwold, Rolf H. H., Reitsma, Johannes B.

“…Individual participant data (IPD) meta‐analysis is an increasingly used approach for synthesizing and investigating treatment effect estimates. Over the past…”
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Imputation of systematically missing predictors in an individual participant data meta-analysis: a generalized approach using MICE by Jolani, Shahab, Debray, Thomas P. A., Koffijberg, Hendrik, van Buuren, Stef, Moons, Karel G. M.

“…Individual participant data meta‐analyses (IPD‐MA) are increasingly used for developing and validating multivariable (diagnostic or prognostic) risk prediction…”
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Quantifying the Accuracy of a Diagnostic Test or Marker by LINNET, Kristian, BOSSUYT, Patrick M. M, MOONS, Karel G. M, REITSMA, Johannes B. R

“…In recent years, increasing focus has been directed to the methodology for evaluating (new) tests or biomarkers. A key step in the evaluation of a diagnostic…”
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Missing covariate data in medical research: To impute is better than to ignore by Janssen, Kristel J.M, Donders, A. Rogier T, Harrell, Frank E, Vergouwe, Yvonne, Chen, Qingxia, Grobbee, Diederick E, Moons, Karel G.M

“…Abstract Objective We compared popular methods to handle missing data with multiple imputation (a more sophisticated method that preserves data). Study Design…”
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