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 …

Principles and methods for transferring polygenic risk scores across global populations

L Kachuri, N Chatterjee, J Hirbo, DJ Schaid… - Nature Reviews …, 2024 - nature.com
Polygenic risk scores (PRSs) summarize the genetic predisposition of a complex human trait
or disease and may become a valuable tool for advancing precision medicine. However …

Clinical features predicting mortality risk in patients with viral pneumonia: the MuLBSTA score

L Guo, D Wei, X Zhang, Y Wu, Q Li, M Zhou… - Frontiers in …, 2019 - frontiersin.org
Objective The aim of this study was to further clarify clinical characteristics and predict
mortality risk among patients with viral pneumonia. Methods A total of 528 patients with viral …

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 …

Gut microbiota-dependent trimethylamine N-oxide in acute coronary syndromes: a prognostic marker for incident cardiovascular events beyond traditional risk factors

XS Li, S Obeid, R Klingenberg, B Gencer… - European heart …, 2017 - academic.oup.com
Aims Systemic levels of trimethylamine N-oxide (TMAO), a pro-atherogenic and pro-
thrombotic metabolite produced from gut microbiota metabolism of dietary trimethylamine …

Towards better clinical prediction models: seven steps for development and an ABCD for validation

EW Steyerberg, Y Vergouwe - European heart journal, 2014 - academic.oup.com
Clinical prediction models provide risk estimates for the presence of disease (diagnosis) or
an event in the future course of disease (prognosis) for individual patients. Although …

[HTML][HTML] In-depth mining of clinical data: the construction of clinical prediction model with R

ZR Zhou, WW Wang, Y Li, KR Jin… - Annals of …, 2019 - ncbi.nlm.nih.gov
This article is the series of methodology of clinical prediction model construction (total 16
sections of this methodology series). The first section mainly introduces the concept, current …

Methodological guidance for the evaluation and updating of clinical prediction models: a systematic review

MAE Binuya, EG Engelhardt, W Schats… - BMC Medical Research …, 2022 - Springer
Background Clinical prediction models are often not evaluated properly in specific settings
or updated, for instance, with information from new markers. These key steps are needed …

Machine learning-based prediction of acute coronary syndrome using only the pre-hospital 12-lead electrocardiogram

S Al-Zaiti, L Besomi, Z Bouzid, Z Faramand… - Nature …, 2020 - nature.com
Prompt identification of acute coronary syndrome is a challenge in clinical practice. The 12-
lead electrocardiogram (ECG) is readily available during initial patient evaluation, but …

Polygenic risk scores in cardiovascular risk prediction: A cohort study and modelling analyses

L Sun, L Pennells, S Kaptoge, CP Nelson… - PLoS …, 2021 - journals.plos.org
Background Polygenic risk scores (PRSs) can stratify populations into cardiovascular
disease (CVD) risk groups. We aimed to quantify the potential advantage of adding …