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19/12/2024 Biomarkers of response to ocrelizumab in relapsing-remitting multiple sclerosis (vol 15, 1480676, 2024)
Rodríguez-Jorge, F, Fernández-Velasco, JI, Villarrubia, N, Gracia-Gil, J, Fernández, E, Meca-Lallana, V, Díaz-Pérez, C, de la Maza, SS, Pacheco, EM, Quiroga, A, Ramió-Torrentà, L, Martínez-Yélamos, S, Bau, L, Monreal, E, López-Real, A, Rodero-Romero, A, Borrega, L, Díaz, S, Eguía, P, Espiño, M, Chico-García, JL, Barrero, FJ, Martínez-Ginés, ML, García-Domínguez, JM, de la Fuente, S, Moreno, I, Sainz-Amo, R, Mañé-Martínez, MA, Caminero, A, Castellanos-Pinedo, F, López, AG, Labiano-Fontcuberta, A, Ayuso, L, Abreu, R, Hernández, MA, Meca-Lallana, J, Martín-Aguilar, L, Garcia, AM, Masjuan, J, Costa-Frossard, L, Villar, LM. Biomarkers of response to ocrelizumab in relapsing-remitting multiple sclerosis (vol 15, 1480676, 2024). Frontiers in Immunology. 2024; 15DOI:10.3389/fimmu.2024.1535051. PMID:39749346. IF:5.900(Q1/2D).
12/11/2024 Biomarkers of response to ocrelizumab in relapsing-remitting multiple sclerosis
Rodríguez-Jorge, F, Fernández-Velasco, JI, Villarrubia, N, Gracia-Gil, J, Fernández, E, Meca-Lallana, V, Díaz-Pérez, C, Sainz de la Maza, S, Pacheco, EM, Quiroga, A, Ramió-Torrentà, L, Martínez-Yélamos, S, Bau, L, Monreal, E, López-Real, A, Rodero-Romero, A, Borrega, L, Díaz, S, Eguía, P, Espiño, M, Chico-García, JL, Barrero, FJ, Martínez-Ginés, ML, García-Domínguez, JM, De la Fuente, S, Moreno, I, Sainz-Amo, R, Mañé-Martínez, MA, Caminero, A, Castellanos, F, Gómez López, A, Labiano-Fontcuberta, A, Ayuso, L, Abreu, R, Hernández, MA, Meca-Lallana, J, Martín-Aguilar, L, Muriel García, A, Masjuan, J, Costa-Frossard, L, Villar, LM. Biomarkers of response to ocrelizumab in relapsing-remitting multiple sclerosis. Frontiers in Immunology. 2024; 15DOI:10.3389/fimmu.2024.1480676. PMID:39606235. IF:5.900(Q1/2D).
14/10/2025 Machine learning models for the prediction of COVID-19 prognosis in the primary health care setting
Barrot, J, Caylà, JA, Mata-Cases, M, Real, J, Vlacho, B, Franch-Nadal, J, Mauricio, D. Machine learning models for the prediction of COVID-19 prognosis in the primary health care setting. Bmc Primary Care. 2025; 26(1)DOI:10.1186/s12875-025-02960-5. PMID:41087937. IF:2.600(Q1/1D).
01/08/2025 Hypertriglyceridemia and its relationship with all-cause mortality and pancreatitis: Results from a large retrospective clinical registry
Vlacho, B, Julve, J, Genua, I, Fernández-Camins, B, Real, J, Franch-Nadal, J, Mauricio, D, Ortega, E. Hypertriglyceridemia and its relationship with all-cause mortality and pancreatitis: Results from a large retrospective clinical registry. Journal of Clinical Lipidology. 2025; 19(4)DOI:10.1016/j.jacl.2025.04.195. PMID:40467441. IF:4.600(Q1/2D).
21/03/2025 Prevalence, diagnostic accuracy, and healthcare utilization patterns in patients with COPD in primary healthcare: a population-based study
Vila, M, Sisó-Almirall, A, Ocaña, A, Agustí, A, Faner, R, Borras-Santos, A, González-de Paz, L. Prevalence, diagnostic accuracy, and healthcare utilization patterns in patients with COPD in primary healthcare: a population-based study. npj Primary Care Respiratory Medicine. 2025; 35(1)DOI:10.1038/s41533-025-00419-9. PMID:40118910. IF:4.700(Q1/1D).
01/01/2025 Effectiveness of Virtual Reality in Reducing Pain and Stress During Office Hysteroscopy: A Randomized Controlled Trial
Tarriel, JE, Capó, JP, González, MS, Queiruga, MB, Gatius, JR, Gomis-Pastor, M, Marre, D, Olivé, EL. Effectiveness of Virtual Reality in Reducing Pain and Stress During Office Hysteroscopy: A Randomized Controlled Trial. Healthcare. 2025; 13(2)DOI:10.3390/healthcare13020131. PMID:39857158. IF:2.700(Q2/3D).