Publications

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Displaying 1 through 19 of 19 publications.

Ranzani O, Alari A, Olmos S, Mila C, Rico A, Ballester J, Basagana X, Chaccour C, Dadvand P, Duarte-Salles T, Foraster M, Nieuwenhuijsen M, Sunyer J, Valentin A, Kogevinas M, Lazcano U, Avellaneda-Gomez C, Vivanco R, Tonne C. Long-term exposure to air pollution and severe COVID-19 in Catalonia: a population-based cohort study. Nat Commun. 2023 May 24;14(1):2916. doi: 10.1038/s41467-023-38469-7

Sauchelli S, Brunstrom JM. Virtual reality exergaming improves affect during physical activity and reduces subsequent food consumption in inactive adults. Appetite. 2022 Aug 1;175:106058. doi: 10.1016/j.appet.2022.106058

Cox JS, Hinton EC, Sauchelli S, Hamilton-Shield JP, Lawrence NS, Brunstrom JM. When do children learn how to select a portion size? Appetite. 2021 Sep 1;164:105247. doi: 10.1016/j.appet.2021.105247

Samuelson TW, Singh IP, Williamson BK, Falvey H, Lee WC, Odom D, McSorley D, Katz LJ. Quality of life in primary open-angle glaucoma and cataract: an analysis of VFQ-25 and OSDI from the iStent inject® Pivotal Trial. Am J Ophthalmol. 2021 Mar 15;229:220-9. doi: 10.1016/j.ajo.2021.03.007

Sauchelli S, Whitmarsh A, Hamilton-Shield J, Rogers PJ, Brunstrom JM. Adjusting the 'gravitostat': piloting the increase in torso loading to reduce adiposity. Appetite. 2021 Feb 1;157:104944. doi: 10.1016/j.appet.2020.104944

Fan W, Nittala MG, Fleming A, Robertson G, Uji A, Wykoff CC, Brown DM, van Hemert J, Ip M, Wang K, Falavarjani KG, Singer M, Sagong M, Sadda S. Relationship between retinal fractal dimension and nonperfusion in diabetic retinopathy on ultrawide-field fluorescein angiography. Am J Ophthalmol. 2020 Jan 1;209:99-106. doi: 10.1016/j.ajo.2019.08.015

Fan W, Nittala MG, Velaga SB, Hirano T, Wykoff CC, Ip M, Lampen SIR, van Hemert J, Fleming A, Verhoek M, Sadda SR. Distribution of nonperfusion and neovascularization on ultrawide-field fluorescein angiography in proliferative diabetic retinopathy (RECOVERY study): report 1. Am J Ophthalmol. 2019 Oct 1;206:154-60. doi: 10.1016/j.ajo.2019.04.023

Sauchelli S, Clark E, Shield J, Brunstrom J, Rogers P. Food preferences in children with insulin-induced hypoglycaemia: the development of a food preference task. Poster presented at the 42nd Meeting of the British Feeding and Drinking Group; April 2018. [abstract] Appetite. 2018 Nov 1; 130:315. doi: 10.1016/j.appet.2018.05.233

Pajouheshnia R, van Smeden M, Peelen LM, Groenwold RHH. Variation in the measurement of predictors affects the discriminative ability and transportability of a prediction model. Presented at the Methods for Evaluation of Medical Prediction Models, Tests and Biomarkers (MEMTAB) 2018 Symposium; July 2, 2018. Utrecht, The Netherlands. [abstract] Diagn Progn Res. 2018 Jul 2; 2(Suppl 1):40. doi: 10.1186/s41512-018-0036-3

Damen JAAG, Debray TPA, Pajouheshnia R, Reitsma JB, Scholten RJPM, Moons KGM, Hooft L. Empirical evidence on the impact of study characteristics on the performance of prognostic models: a meta-epidemiological study. Presented at the Methods for Evaluation of Medical Prediction Models, Tests and Biomarkers (MEMTAB) 2018 Symposium; July 2, 2018. Utrecht, The Netherlands. [abstract] Diagn Progn Res. 2018 Jul 2; 2(Suppl 1):29-30. doi: 10.1186/s41512-018-0036-3

Pajouheshnia R, Schuster NA, Moons KGM, Rutten FH, Groenwold RHH, Peelen LM. Accounting for time-varying treatments when developing a prognostic model: a case study in patients treated with betablockers. Poster presented at the Methods for Evaluation of Medical Prediction Models, Tests and Biomarkers (MEMTAB) 2018 Symposium; July 2018. Utrecht, Netherlands. [abstract] Diagn Progn Res. 2018 Jul; 2(Supp1):28-9. doi: 10.1186/s41512-018-0036-3

Pajouheshnia R, Damen JAAG, Groenwold RHH, Moons KGM, Peelen LM. Treatment use in prognostic model research: a systematic review of cardiovascular prognostic studies. Diagn Progn Res. 2017 Sep 26;1:15. doi: 10.1186/s41512-017-0015-0

Heus P, Damen JAAG, Pajhouheshnia R, Scholten RJPM, Reitsma JM, Collins GS, Altman DG, Moons KGM, Hooft L. More than half of the TRIPOD items are inadequately reported in prediction modelling studies. Poster presented at the Methods for Evaluating Medical Tests and Biomarkers 2016 Symposium; July 19, 2016. Birmingham, UK. [abstract] Diagn Progn Res. 2017 Feb 16; 1(Suppl 1):27. doi: 10.1186/s41512-016-0001-y

Pajouheshnia R, Groenwold R, Moons K, Reitsma J, Peelen L. The effects of treatment use when externally validating a prediction model that did not include treatment as predictor. Presented at the Methods for Evaluating Medical Tests and Biomarkers 2016 Symposium; February 2016. Birmingham, United Kingdom. [abstract] Diagn Progn Res. 2017 Feb 16; 1(Suppl 1):12. doi: 10.1186/s41512-016-0001-y

Pajouheshnia R, Damen J, Groenwold R, Moons K, Peelen L. How treatment use is addressed in prognostic research: a systematic review. Poster presented at the Methods for Evaluating Medical Tests and Biomarkers 2016 Symposium; July 19, 2016. Birmingham, UK. [abstract] Diagn Progn Res. 2017 Feb 16; 1(Suppl 1):19. doi: 10.1186/s41512-016-0001-y

Damen JAAG, Debray TPA, Heus P, Hooft L, Moons KGM, Pajouheshnia R, Reitsma JB, Scholten RJPM. Design characteristics of external validation studies influencing the performance of risk prediction models. Poster presented at the Methods for Evaluating Medical Tests and Biomarkers 2016 Symposium; July 2016. Birmingham, UK. [abstract] Diagn Progn Res. 2017 Feb 16; 1(Suppl 1):21. doi: 10.1186/s41512-016-0001-y

Damen JAAG, Debray TPA, Heus P, Hooft L, Moons KGM, Pajouheshnia R, Reitsma JB, Scholten RJPM. Performance of the Framingham risk models and pooled cohort equations for the prediction of cardiovascular disease in the general population: a meta-analysis. Poster presented at the Methods for Evaluating Medical Tests and Biomarkers 2016 Symposium; July 19, 2016. Birmington, UK. [abstract] Diagn Progn Res. 2017 Feb 16; 1(Suppl 1):20-1. doi: 10.1186/s41512-016-0001-y

Mascarenhas J, Lalitha P, Prajna NV, Srinivasan M, Das M, D'Silva SS, Oldenburg CE, Borkar DS, Esterberg EJ, Lietman TM, Keenan JD. Acanthamoeba, fungal, and bacterial keratitis: a comparison of risk factors and clinical features. Am J Ophthalmol. 2014 Jan;157(1):56-62. doi: 10.1016/j.ajo.2013.08.032

Qian Y, Glaser T, Esterberg E, Acharya NR. Depression and visual functioning in patients with ocular inflammatory disease. Am J Ophthalmol. 2012 Feb;153(2):370-378.e. doi: 10.1016/j.ajo.2011.06.028