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Ewoud Schuit

Researcher at Utrecht University

Publications -  194
Citations -  6550

Ewoud Schuit is an academic researcher from Utrecht University. The author has contributed to research in topics: Pregnancy & Medicine. The author has an hindex of 26, co-authored 160 publications receiving 4260 citations. Previous affiliations of Ewoud Schuit include Centra & Oklahoma State University Center for Health Sciences.

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Unexpected predictor–outcome associations in clinical prediction research: causes and solutions

TL;DR: Clinical prediction models aim to predict individual clinical outcomes using multiple predictor variables and established causal risk factors are often good predictors.
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Pharmacotherapy for smoking cessation: effects by subgroup defined by genetically informed biomarkers

TL;DR: To assess whether quit rates vary by genetically informed biomarkers within pharmacotherapy treatment arms and as compared with placebo, a meta-analyses of smoking cessation of active treatment versus placebo within genotype groups found the quality of evidence to be generally moderate.
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Comprehensive toxicity risk profiling in radiation therapy for head and neck cancer: A new concept for individually optimised treatment

TL;DR: In this paper, a comprehensive individual toxicity risk profile is needed to improve radiation treatment optimisation, minimising toxicity burden, in head and neck cancer (HNC) patients, and the authors aimed to develop and externally validate NTCP models for various toxicities at multiple time points.
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Preterm birth in singleton and multiple pregnancies: evaluation of costs and perinatal outcomes.

TL;DR: The peaks seen in costs paralleled with the prevalence of adverse perinatal outcome, and can be used to elaborate on the impact of preterm birth in case only data are available on duration of pregnancy.
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Overlapping network meta-analyses on the same topic: survey of published studies

TL;DR: In this article, a random sample of 40 pairs (an index NMA and one of its overlapping NMAs) was selected to assess the overlap in terms of nodes, treatments and references.