[HTML][HTML] Traumatic brain injury: progress and challenges in prevention, clinical care, and research

AIR Maas, DK Menon, GT Manley, M Abrams… - The Lancet …, 2022 - thelancet.com
Executive summary Traumatic brain injury (TBI) has the highest incidence of all common
neurological disorders, and poses a substantial public health burden. TBI is increasingly …

Early warning scores for detecting deterioration in adult hospital patients: systematic review and critical appraisal of methodology

S Gerry, T Bonnici, J Birks, S Kirtley, PS Virdee… - bmj, 2020 - bmj.com
Objective To provide an overview and critical appraisal of early warning scores for adult
hospital patients. Design Systematic review. Data sources Medline, CINAHL, PsycInfo, and …

PROBAST: a tool to assess risk of bias and applicability of prediction model studies: explanation and elaboration

KGM Moons, RF Wolff, RD Riley, PF Whiting… - Annals of internal …, 2019 - acpjournals.org
Prediction models in health care use predictors to estimate for an individual the probability
that a condition or disease is already present (diagnostic model) or will occur in the future …

Transparent Reporting of a multivariable prediction model for Individual Prognosis or Diagnosis (TRIPOD): explanation and elaboration

KGM Moons, DG Altman, JB Reitsma… - Annals of internal …, 2015 - acpjournals.org
The TRIPOD (Transparent Reporting of a multivariable prediction model for Individual
Prognosis Or Diagnosis) Statement includes a 22-item checklist, which aims to improve the …

Sample size considerations for the external validation of a multivariable prognostic model: a resampling study

GS Collins, EO Ogundimu, DG Altman - Statistics in medicine, 2016 - Wiley Online Library
After developing a prognostic model, it is essential to evaluate the performance of the model
in samples independent from those used to develop the model, which is often referred to as …

A guide to systematic review and meta-analysis of prediction model performance

TPA Debray, JAAG Damen, KIE Snell, J Ensor, L Hooft… - bmj, 2017 - bmj.com
Validation of prediction models is highly recommended and increasingly common in the
literature. A systematic review of validation studies is therefore helpful, with meta-analysis …

[HTML][HTML] Prognosis Research Strategy (PROGRESS) 3: prognostic model research

EW Steyerberg, KGM Moons, DA van der Windt… - PLoS …, 2013 - journals.plos.org
In this article, the third in the PROGRESS series on prognostic factor research, Sara Schroter
and colleagues review how prognostic models are developed and validated, and then …

Risk prediction models: II. External validation, model updating, and impact assessment

KGM Moons, AP Kengne, DE Grobbee, P Royston… - Heart, 2012 - heart.bmj.com
Clinical prediction models are increasingly used to complement clinical reasoning and
decision-making in modern medicine, in general, and in the cardiovascular domain, in …

[HTML][HTML] Methodological standards for the development and evaluation of clinical prediction rules: a review of the literature

LE Cowley, DM Farewell, S Maguire… - Diagnostic and prognostic …, 2019 - Springer
Clinical prediction rules (CPRs) that predict the absolute risk of a clinical condition or future
outcome for individual patients are abundant in the medical literature; however, systematic …

Risk prediction models: I. Development, internal validation, and assessing the incremental value of a new (bio) marker

KGM Moons, AP Kengne, M Woodward, P Royston… - Heart, 2012 - heart.bmj.com
Prediction models are increasingly used to complement clinical reasoning and decision
making in modern medicine in general, and in the cardiovascular domain in particular …