Risk Prediction

Dr Foster global frailty score: an international retrospective observational study developing and validating a risk prediction model for hospitalised older persons from administrative data sets
John T Y Soong, Jurgita Gammall, Danny Liew, Carol Jane Peden, Alex Bottle, Derek Bell, Carolyn Cooper, Adrian Hopper

BMJ Open Jun 2019, 9 (6) e026759; DOI: 10.1136/bmjopen-2018-026759
Exploring the facilitators and barriers to using an online infertility risk prediction tool (FoRECAsT) for young women with breast cancer: a qualitative study protocol
Zobaida Edib, Yasmin Jayasinghe, Martha Hickey, Lesley Stafford, Richard A Anderson, H. Irene Su, Kate Stern, Christobel Saunders, Antoinette Anazodo, Mary Macheras-Magias, Shanton Chang, Patrick Pang, Franca Agresta, Laura Chin-Lenn, Wanyuan Cui, Sarah Pratt, Alex Gorelik, Michelle Peate

BMJ Open Feb 2020, 10 (2) e033669; DOI: 10.1136/bmjopen-2019-033669
Submissions from the SPRINT Data Analysis Challenge on clinical risk prediction: a cross-sectional evaluation
Cynthia A Jackevicius, JaeJin An, Dennis T Ko, Joseph S Ross, Suveen Angraal, Joshua D Wallach, Maria Koh, Jeeeun Song, Harlan M Krumholz

BMJ Open Mar 2019, 9 (3) e025936; DOI: 10.1136/bmjopen-2018-025936
Is there a correlation between an eGFR slope measured over a 5-year period and incident cardiovascular events in the following 5 years among a Flemish general practice population: a retrospective cohort study
Gijs Van Pottelbergh, Pavlos Mamouris, Nele Opdeweegh, Bert Vaes, Geert Goderis, Marjan Van Den Akker

BMJ Open Nov 2018, 8 (11) e023594; DOI: 10.1136/bmjopen-2018-023594
Does bone mineral density improve the predictive accuracy of fracture risk assessment? A prospective cohort study in Northern Denmark
Paula Dhiman, Stig Andersen, Peter Vestergaard, Tahir Masud, Nadeem Qureshi

BMJ Open Apr 2018, 8 (4) e018898; DOI: 10.1136/bmjopen-2017-018898
Development and validation of a risk stratification model for prediction of disability and hospitalisation in patients with heart failure: a study protocol
Luis García-Olmos, Francisco Rodríguez-Salvanés, Maurice Batlle-Pérez, Río Aguilar-Torres, Carlos Porro-Fernández, Alfredo García-Cabello, Montserrat Carmona, Sergio Ruiz-Alonso, Sofía Garrido-Elustondo, Ángel Alberquilla, Luis María Sánchez-Gómez, Ricardo Sánchez de Madariaga, Elena Monge-Navarrete, Luis Benito-Ortiz, Nicolás Baños-Pérez, Amaya Simón-Puerta, Ana Belén López Rodríguez, Miguel Ángel Martínez-Álvarez, María Ángeles Velilla-Celma, María Isabel Bernal-Gómez

BMJ Open Jun 2017, 7 (6) e014840; DOI: 10.1136/bmjopen-2016-014840
Predicting poorer health outcomes in older community-dwelling patients with multimorbidity: prospective cohort study assessing the accuracy of different multimorbidity definitions
Maxime Sasseville, Susan M Smith, Lisa Freyne, Ronald McDowell, Fiona Boland, Martin Fortin, Emma Wallace

BMJ Open Jan 2019, 9 (1) e023919; DOI: 10.1136/bmjopen-2018-023919
External validation and clinical usefulness of three commonly used cardiovascular risk prediction scores in an Emirati population: a retrospective longitudinal cohort study
Saif Al-Shamsi, Romona Devi Govender, Jeffrey King

BMJ Open Oct 2020, 10 (10) e040680; DOI: 10.1136/bmjopen-2020-040680
Optimal cut points of plasma and urine neutrophil gelatinase-associated lipocalin for the prediction of acute kidney injury among critically ill adults: retrospective determination and clinical validation of a prospective multicentre study
Kristen M Tecson, Elisabeth Erhardtsen, Peter M Eriksen, A Osama Gaber, Michael Germain, Ladan Golestaneh, Maria de los Angeles Lavoria, Linda W Moore, Peter A McCullough

BMJ Open Jul 2017, 7 (7) e016028; DOI: 10.1136/bmjopen-2017-016028
Machine learning with sparse nutrition data to improve cardiovascular mortality risk prediction in the USA using nationally randomly sampled data
Joseph Rigdon, Sanjay Basu

BMJ Open Nov 2019, 9 (11) e032703; DOI: 10.1136/bmjopen-2019-032703

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