Transparent reporting of a multivariable prediction model for individual …

Artículos que citan Transparent reporting of a multivariable prediction model for individual …

Título / Autor	Año
Assessment of clinical criteria for sepsis: for the Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3) CW Seymour, VX Liu, TJ Iwashyna, FM Brunkhorst, TD Rea, A Scherag, ... Jama 315 (8), 762-774	2016
STARD 2015: an updated list of essential items for reporting diagnostic accuracy studies PM Bossuyt, JB Reitsma, DE Bruns, CA Gatsonis, PP Glasziou, L Irwig, ... Radiology 277 (3), 826-832	2015
Transparent Reporting of a multivariable prediction model for Individual Prognosis or Diagnosis (TRIPOD): explanation and elaboration KGM Moons, DG Altman, JB Reitsma, JPA Ioannidis, P Macaskill, ... Annals of internal medicine 162 (1), W1-W73	2015
Development and validation of a radiomics nomogram for preoperative prediction of lymph node metastasis in colorectal cancer Y Huang, C Liang, L He, J Tian, C Liang, X Chen, Z Ma, Z Liu	2016
Radiomics: the bridge between medical imaging and personalized medicine P Lambin, RTH Leijenaar, TM Deist, J Peerlings, EEC De Jong, ... Nature Reviews Clinical Oncology 14 (12), 749	2017
Predicting survival after ECMO for refractory cardiogenic shock: the survival after veno-arterial-ECMO (SAVE)-score M Schmidt, A Burrell, L Roberts, M Bailey, J Sheldrake, PT Rycus, ... European heart journal 36 (33), 2246-2256	2015
Radiation oncology in the era of precision medicine M Baumann, M Krause, J Overgaard, J Debus, SM Bentzen, J Daartz, ... Nature Reviews Cancer 16 (4), 234	2016
Prediction models for cardiovascular disease risk in the general population: systematic review JAAG Damen, L Hooft, E Schuit, TPA Debray, GS Collins, I Tzoulaki, ... bmj 353, i2416	2016
The ORBIT bleeding score: a simple bedside score to assess bleeding risk in atrial fibrillation EC O'brien, DJN Simon, LE Thomas, EM Hylek, BJ Gersh, JE Ansell, ... European heart journal 36 (46), 3258-3264	2015
How to develop a more accurate risk prediction model when there are few events M Pavlou, G Ambler, SR Seaman, O Guttmann, P Elliott, M King, RZ Omar Bmj 351, h3868	2015
Development and validation of QRISK3 risk prediction algorithms to estimate future risk of cardiovascular disease: prospective cohort study J Hippisley-Cox, C Coupland, P Brindle bmj 357, j2099	2017
Opportunities and challenges in developing risk prediction models with electronic health records data: a systematic review BA Goldstein, AM Navar, MJ Pencina, J Ioannidis Journal of the American Medical Informatics Association 24 (1), 198-208	2017
A European Respiratory Society technical standard: exhaled biomarkers in lung disease I Horváth, PJ Barnes, S Loukides, PJ Sterk, M Högman, AC Olin, A Amann, ... European Respiratory Journal 49 (4), 1600965	2017
Sample size considerations for the external validation of a multivariable prognostic model: a resampling study GS Collins, EO Ogundimu, DG Altman Statistics in medicine 35 (2), 214-226	2016
Prognostic factors for poor cognitive development in children born very preterm or with very low birth weight: a systematic review L Linsell, R Malouf, J Morris, JJ Kurinczuk, N Marlow JAMA pediatrics 169 (12), 1162-1172	2015
Prediction models need appropriate internal, internal–external, and external validation EW Steyerberg, FE Harrell Journal of clinical epidemiology 69, 245-247	2016
Novel methodologies for biomarker discovery in atherosclerosis IE Hoefer, S Steffens, M Ala-Korpela, M Bäck, L Badimon, ... European heart journal 36 (39), 2635-2642	2015
External validation of clinical prediction models using big datasets from e-health records or IPD meta-analysis: opportunities and challenges RD Riley, J Ensor, KIE Snell, TPA Debray, DG Altman, KGM Moons, ... bmj 353, i3140	2016
A roadmap to improve the quality of atrial fibrillation management: proceedings from the fifth Atrial Fibrillation Network/European Heart Rhythm Association consensus conference P Kirchhof, G Breithardt, J Bax, G Benninger, C Blomstrom-Lundqvist, ... Ep Europace 18 (1), 37-50	2015
Prediction of in‐hospital mortality in emergency department patients with sepsis: a local big data–driven, machine learning approach RA Taylor, JR Pare, AK Venkatesh, H Mowafi, ER Melnick, W Fleischman, ... Academic emergency medicine 23 (3), 269-278	2016

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