#FRCV

Improving retinal artery and vein classification by means of a minimal path approach

González-Vázquez S, Cancela B, Barreira N, González-Penedo M, Rodríguez-Blanco M, Pena M, Coll-de-Tuero G, Barceló MA, Saez M. Machine Vision and Applications July 2012. doi: 10.1007/s00138-012-0442-4 (Impact Factor: 1.788, COMPUTER SCIENCE, CYBERNETICS 10/23 Q2)

Clinical epidemiology Eye fundus FRCV GLM model Method:Generalized models Q2 Selection on observables:Regression models
Retinal arteriole-to-venule ratio changes and target organ disease evolution in newly diagnosed hypertensive patients at one year follow-up

Coll-de-Tuero G, González-Vázquez S, Rodríguez-Poncelas A, Barceló MA, Barrot J, González-Penedo M, Pose-Reino A, Pena M, Saez M. Journal of the American Society of Hypertension 2014; 8(2):83-93. doi: 10.1016/j.jash.2013.10.002 (Impact Factor: 2.268, PERIPHERAL VASCULAR DISEASE 39/65 Q3)

Clinical epidemiology Eye fundus FRCV GLM model Method:Generalized models Q3 Selection on observables:Regression models
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Treatment efficacy of anti-hypertensive drugs in monotherapy or combination: ATOM systematic review and meta-analysis of randomized clinical trials according to PRISMA statement

Paz MA, De la Sierra A, Saez M, Barceló MA, Rodríguez JJ, Castro S, Lagarón C, Garrido JM, Vera P, Coll-de-Tuero G. Medicine 2016; 95(30):e4071. doi: 10.1097/MD.0000000000004071 (Impact Factor: 1.870, MEDICINE, GENERAL & INTERNAL, 69/160 Q2)

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Clinical epidemiology FRCV Meta-analysis Method:Evaluation of diagnostic tests Method:Systematic review and meta-analysis Q2
The dynamic behaviour of metabolic sindrome and its components in an eight-year population-based cohort from the Mediterranean

Barceló MA, Rodríguez-Poncelas A, Saez M, Coll-de-Tuero G. PlosOne 2017; 12(5): e0176665. doi: 10.1371/journal.pone.0176665 (Impact Factor: 2.766, MULTIDISCIPLINARY SCIENCES, 15/64 Q1).

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Andersen-Gill model Clinical epidemiology FRCV Metabolic syndrome and its components Method:Survival analysis Q1 Selection on unobservables:Mixed models
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Duration and dosing of proton pump inhibitors associated with high incidence of chronic kidney disease in population-based cohort

Rodríguez-Poncelas A, Barceló MA, Saez M, Coll-de-Tuero G. PlosOne 2018; 13(10):e0204231. doi: 10.1371/journal.pone.0204231 (Impact Factor: 2.776, MULTIDISCIPLINARY SCIENCES, 15/64 Q1)

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Andersen-Gill model Clinical epidemiology FRCV Kidney disease and glomerular filtration Method:Survival analysis Q1 Selection on unobservables:Mixed models Selection on unobservables:Space-time models
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Analysis of the location of retinal lesions in central retinographies of patients with type 2 diabetes

Munuera-Gifre E, Saez M, Juvinyà-Canals D, Rodríguez-Poncelas A, Barrot-de-la-Puente J, Franch-Nadal J, Romero-Aroca P, Barceló MA, Coll-de-Tuero G. Acta Ophthalmologica 2020; 98(1): e13-e21. doi: 10.1111/aos.14223 (Impact Factor: 3.761, OPHTHALMOLOGY 11/88 Q1)

Clinical epidemiology Eye fundus FRCV GLMM model Method:Generalized models Method:Space-time models Q1 Selection on unobservables:Mixed models
Comparative effectiveness of school‐based interventions targeting physical activity, physical fitness or sedentary behaviour on obesity prevention in 6‐ to 12‐year‐old children: A systematic review and meta‐analysis

Podnar H, Jurić P, Karuc J, Saez M, Barceló MA, Radman I, Starc G, Jurak G, Đurić S, Potočnik Ž, Sorić M. Obesity Reviews, 2021; 22(2):e13160. doi: 10.1111/obr.13160  (Impact Factor: 10.867, ENDOCRINOLOGY & METABOLISM, 9/146 Q1).

Clinical epidemiology FRCV Meta-analysis Q1
Prevalencia de obesidad en población atendida en asistencia primaria en Girona, 1995-1999

Saez M, García-Rafanell JM, Fernández-Real JM, Barceló MA, Saurina C, Marqués A, Serrà D, Girona R, Viñets C, Andreu M, Badosa P, Faixedes D, Faixedes M, Garrido JM, Gómez-Mata M, Torra M, Ricart W. Gaceta Sanitaria 2001; 15(2):95-103. doi: 10.1016/S0213-9111(01)71528-2 (Impact Factor: 1.656, PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH 79/162 Q2)

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Clinical epidemiology FRCV Hurdle model Metabolic syndrome and its components Method:Two-part models Q2 Selection on observables:Regression models
The usefulness of ophthalmoscopy in risk evaluation of hypertensive patients

Coll-de-Tuero G, Foguet Q, Vargas S, Saez M, Barceló MA. Blood Pressure 2002; 11:1-8. doi: 10.1080/080370502320779467 (Impact Factor: 2.292, PERIPHERAL VASCULAR DISEASE 38/65 Q3)

Clinical epidemiology Eye fundus FRCV GLM model Method:Generalized models Q3 Selection on observables:Regression models
Usefulness of optic fundus examination with retinography in initial evaluation of hypertensive patients

Foguet Q, Rodríguez A, Saez M, Ubieto A, Beltrán M, Barceló MA, Coll-de-Tuero G. American Journal of Hypertension 2008; 21(4):400-405. doi: 10.1038/ajh.2008.3 (Impact Factor: 2.530, PERIPHERAL VASCULAR DISEASE 33/65 Q3)

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Clinical epidemiology Eye fundus FRCV GLM model Method:Generalized models Q3 Selection on observables:Regression models