Zobrazeno 1 - 10
of 145
pro vyhledávání: '"David, van Klaveren"'
Autor:
Keren Ladin, John Cuddeback, O. Kenrik Duru, Sharad Goel, William Harvey, Jinny G. Park, Jessica K. Paulus, Joyce Sackey, Richard Sharp, Ewout Steyerberg, Berk Ustun, David van Klaveren, Saul N. Weingart, David M. Kent
Publikováno v:
npj Digital Medicine, Vol 7, Iss 1, Pp 1-12 (2024)
Abstract Clinical prediction models (CPMs) are tools that compute the risk of an outcome given a set of patient characteristics and are routinely used to inform patients, guide treatment decision-making, and resource allocation. Although much hope ha
Externí odkaz:
https://doaj.org/article/8225c57a8b2d4aebbf837ef224076579
Autor:
Carolien C. H. M. Maas, David van Klaveren, Müjde Durmaz, Otto Visser, Djamila E. Issa, Eduardus F. M. Posthuma, Josée M. Zijlstra, Martine E. D. Chamuleau, Pieternella J. Lugtenburg, Marie José Kersten, Avinash G. Dinmohamed
Publikováno v:
Blood Cancer Journal, Vol 14, Iss 1, Pp 1-9 (2024)
Abstract First-line treatment for advanced-stage diffuse large B-cell lymphoma (DLBCL) typically involves 6x R-CHOP21 or 6x R-CHOP21 with two additional rituximab administrations (6x R-CHOP21 + 2 R). In contemporary practice, this treatment choice mi
Externí odkaz:
https://doaj.org/article/c4b65197aa51466bbe82400bbe7a2fb7
Autor:
Jordi de Winkel, Carolien C. H. M. Maas, Bob Roozenbeek, David van Klaveren, Hester F. Lingsma
Publikováno v:
BMC Medical Research Methodology, Vol 24, Iss 1, Pp 1-11 (2024)
Abstract Background Prediction models are often externally validated with data from a single study or cohort. However, the interpretation of performance estimates obtained with single-study external validation is not as straightforward as assumed. We
Externí odkaz:
https://doaj.org/article/0c43521d4c4d4fdab3a66490c1899115
Autor:
Barbara Rentroia-Pacheco, Domenico Bellomo, Inge M. M. Lakeman, Marlies Wakkee, Loes M. Hollestein, David van Klaveren
Publikováno v:
BMC Medical Research Methodology, Vol 24, Iss 1, Pp 1-17 (2024)
Abstract Background Nested case–control (NCC) designs are efficient for developing and validating prediction models that use expensive or difficult-to-obtain predictors, especially when the outcome is rare. Previous research has focused on how to d
Externí odkaz:
https://doaj.org/article/15095719da6b4ddaae30480a1597cc54
Autor:
Christian A.M. Jongen, Ben J.M. Heijmen, Wilco Schillemans, Andras Zolnay, Marnix G. Witte, Floris J. Pos, Ben Vanneste, Ludwig J. Dubois, David van Klaveren, Luca Incrocci, Wilma D. Heemsbergen
Publikováno v:
Clinical and Translational Radiation Oncology, Vol 50, Iss , Pp 100886- (2025)
Purpose: To develop a single NTCP model for grade ≥ 2 late rectal bleeding (G2 LRB) after conventional or hypofractionated radiotherapy for prostate cancer. Methods and Materials: The development dataset consisted of prostate cancer patients (n = 6
Externí odkaz:
https://doaj.org/article/fd73afa06693485dad53410b0b96d239
Autor:
Hester F Lingsma, David van Klaveren, Arjan A van de Loosdrecht, Anna van Rhenen, Otto Visser, Valery E P P Lemmens, Nikki van Leeuwen, Gerwin Huls, Z L Rana Kaplan, Eduardus F M Posthuma, Danielle van Lammeren-Venema, Tjeerd J F Snijders, Catharina H M J van Elssen, Peter A von dem Borne, Nicole M A Blijlevens, Jan J Cornelissen, Marc H G P Raaijmakers, Avinash G Dinmohamed
Publikováno v:
BMJ Oncology, Vol 3, Iss 1 (2024)
Objective Acute myeloid leukaemia (AML) prognosis is enhanced with intensive remission induction chemotherapy (ICT) in eligible patients. However, ICT eligibility perceptions may differ among healthcare professionals. This nationwide, population-base
Externí odkaz:
https://doaj.org/article/1ccfa978daa64b508cdfbda59b2174a6
Autor:
Jordi de Winkel, Bob Roozenbeek, Simone A. Dijkland, Ruben Dammers, Pieter-Jan van Doormaal, Mathieu van der Jagt, David van Klaveren, Diederik W. J. Dippel, Hester F. Lingsma
Publikováno v:
BMC Neurology, Vol 24, Iss 1, Pp 1-11 (2024)
Abstract Background In patients with aneurysmal subarachnoid hemorrhage suitable for endovascular coiling and neurosurgical clip-reconstruction, the aneurysm treatment decision-making process could be improved by considering heterogeneity of treatmen
Externí odkaz:
https://doaj.org/article/c1c6db445a264d6d8fa6a47fc037ec96
Publikováno v:
BMC Medical Research Methodology, Vol 23, Iss 1, Pp 1-12 (2023)
Abstract Background Baseline outcome risk can be an important determinant of absolute treatment benefit and has been used in guidelines for “personalizing” medical decisions. We compared easily applicable risk-based methods for optimal prediction
Externí odkaz:
https://doaj.org/article/7fae2319f6074400a3c12f59735e0fbd
Autor:
Alexandros Rekkas, David van Klaveren, Patrick B. Ryan, Ewout W. Steyerberg, David M. Kent, Peter R. Rijnbeek
Publikováno v:
npj Digital Medicine, Vol 6, Iss 1, Pp 1-11 (2023)
Abstract Treatment effects are often anticipated to vary across groups of patients with different baseline risk. The Predictive Approaches to Treatment Effect Heterogeneity (PATH) statement focused on baseline risk as a robust predictor of treatment
Externí odkaz:
https://doaj.org/article/23646a51a1864df2bc431fd039b3c48a
Autor:
Barbara Rentroia-Pacheco, Selin Tokez, Edo M. Bramer, Zoe C. Venables, Harmen J.G. van de Werken, Domenico Bellomo, David van Klaveren, Antien L. Mooyaart, Loes M. Hollestein, Marlies Wakkee
Publikováno v:
EClinicalMedicine, Vol 63, Iss , Pp 102150- (2023)
Summary: Background: Cutaneous squamous cell carcinoma (cSCC) is a common skin cancer, affecting more than 2 million people worldwide yearly and metastasising in 2–5% of patients. However, current clinical staging systems do not provide estimates o
Externí odkaz:
https://doaj.org/article/5c3c9ba20bcf412bb28d2d5305289726