Prediction model

Development of a nomogram for prediction of postoperative sore throat in patients under general anaesthesia: a single-centre, prospective, observational study
Jingjing Jiang, Zhonghan Wang, Qiancheng Xu, Qun Chen, Weihua Lu

BMJ Open May 2022, 12 (5) e059084; DOI: 10.1136/bmjopen-2021-059084
Development and internal validation of a multivariable prediction model for tinnitus recovery following unilateral cochlear implantation: a cross-sectional retrospective study
Geerte G J Ramakers, Gijsbert A van Zanten, Hans G X M Thomeer, Robert J Stokroos, Martijn W Heymans, Inge Stegeman

BMJ Open Jun 2018, 8 (6) e021068; DOI: 10.1136/bmjopen-2017-021068
Factors associated with prolonged length of stay following cardiac surgery in a major referral hospital in Oman: a retrospective observational study
Ahmed Almashrafi, Hilal Alsabti, Mirdavron Mukaddirov, Baskaran Balan, Paul Aylin

BMJ Open Jun 2016, 6 (6) e010764; DOI: 10.1136/bmjopen-2015-010764
Development of a risk prediction model of potentially avoidable readmission for patients hospitalised with community-acquired pneumonia: study protocol and population
Anne-Laure Mounayar, Patrice Francois, Patricia Pavese, Elodie Sellier, Jacques Gaillat, Boubou Camara, Bruno Degano, Mylène Maillet, Magali Bouisse, Xavier Courtois, José Labarère, Arnaud Seigneurin

BMJ Open Nov 2020, 10 (11) e040573; DOI: 10.1136/bmjopen-2020-040573
Hospital readmission risk prediction based on claims data available at admission: a pilot study in Switzerland
Beat Brüngger, Eva Blozik

BMJ Open Jun 2019, 9 (6) e028409; DOI: 10.1136/bmjopen-2018-028409
Predicting the use of antibiotics after initial symptomatic treatment of an uncomplicated urinary tract infection: analyses performed after a randomised controlled trial
Ingvild Vik, Ibrahimu Mdala, Marianne Bollestad, Gloria Cristina Cordoba, Lars Bjerrum, Thomas Neumark, Eivind Damsgaard, Anders Bærheim, Nils Grude, Morten Lindbaek

BMJ Open Aug 2020, 10 (8) e035074; DOI: 10.1136/bmjopen-2019-035074
Uniformity in measuring adherence to reporting guidelines: the example of TRIPOD for assessing completeness of reporting of prediction model studies
Pauline Heus, Johanna A A G Damen, Romin Pajouheshnia, Rob J P M Scholten, Johannes B Reitsma, Gary S Collins, Douglas G Altman, Karel G M Moons, Lotty Hooft

BMJ Open Apr 2019, 9 (4) e025611; DOI: 10.1136/bmjopen-2018-025611
Dynamic prediction of childhood high blood pressure in a population-based birth cohort: a model development study
Marleen Hamoen, Yvonne Vergouwe, Alet H Wijga, Martijn W Heymans, Vincent W V Jaddoe, Jos W R Twisk, Hein Raat, Marlou L A de Kroon

BMJ Open Nov 2018, 8 (11) e023912; DOI: 10.1136/bmjopen-2018-023912
Predicting the risk of stroke among patients with type 2 diabetes: a systematic review and meta-analysis of C-statistics
Mohammad Ziaul Islam Chowdhury, Fahmida Yeasmin, Doreen M Rabi, Paul E Ronksley, Tanvir C Turin

BMJ Open Aug 2019, 9 (8) e025579; DOI: 10.1136/bmjopen-2018-025579
Predicting the success of vaginal birth after caesarean delivery: a retrospective cohort study in China
Yun-Xiu Li, Zhi Bai, Da-Jian Long, Hai-Bo Wang, Yang-Feng Wu, Kathleen H Reilly, Su-Ran Huang, Yan-Jie Ji

BMJ Open May 2019, 9 (5) e027807; DOI: 10.1136/bmjopen-2018-027807

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