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01/04/2026 New GRADE Evidence-to-Decision Framework for Pairwise and Multiple Comparisons (GRADE Guidance 45)
Beltran, J, Etxeandia-Ikobaltzeta, I, Piggott, T, Akl, EA, Mustafa, RA, Hazlewood, G, Canelo-Aybar, C, Santesso, N, Brignardello-Petersen, R, Mathioudakis, AG, Carrasco-Labra, A, Nonino, F, De Beer, H, Mayer, M, Shamliyan, T, Wiercioch, W, Dietl, B, Guyatt, G, Schünemann, HJ, Alonso-Coello, P. New GRADE Evidence-to-Decision Framework for Pairwise and Multiple Comparisons (GRADE Guidance 45). ANNALS OF INTERNAL MEDICINE. 2026; 179(4)DOI:10.7326/ANNALS-25-04273. PMID:41839032. IF:15.200(Q1/1D).
01/04/2026 Conversational AI for remote monitoring in heart failure: a prospective controlled pilot study
Olivella, A, Fernández, ABM, García, EG, Torregimeno, AO, Ródenas-Alesina, E, López, RA, Pelaez, TM, Soriano-Colomé, T, Avilés, AS, Uribarri, A, Sánchez, TS, Bocanegra, CP, Baldrich, ED, Martinez-Zapata, MJ, Rubio-Valera, M, Ferreira-González, I. Conversational AI for remote monitoring in heart failure: a prospective controlled pilot study. European Heart Journal - Digital Health. 2026; 7(3)DOI:10.1093/ehjdh/ztag032. PMID:41815105. IF:(Q/D).
01/04/2026 Evaluation of the effectiveness of an intervention for the deprescription of aspirin in primary prevention of cardiovascular diseases
Girbés, AH, Moral, I, González, PB, Cuixart, L, Chaboun, N, Hernández, M, Sánchez, D, Reyes, C, Brotons, C. Evaluation of the effectiveness of an intervention for the deprescription of aspirin in primary prevention of cardiovascular diseases. Medicina De Familia-Semergen. 2026; 52(3)DOI:10.1016/j.semerg.2026.102696. PMID:41712985. IF:(Q/D).
01/03/2026 Impact of matrix-construction assumptions on quantitative overlap assessment in overviews: A meta-research study
Bracchiglione, J, Meza, N, Pieper, D, Lunny, C, Vargas-Peirano, M, Vicuña, J, Briceño, F, Parra, RG, Carrasco, IP, Urrútia, G, Bonfill, X, Madrid, E. Impact of matrix-construction assumptions on quantitative overlap assessment in overviews: A meta-research study. Research Synthesis Methods. 2026; 17(2)DOI:10.1017/rsm.2025.10056. PMID:41635949. IF:6.100(Q1/1D).