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Unraveling COVID-19: A Large-Scale Characterization of 4.5 Million COVID-19 Cases Using CHARYBDIS.
Kostka K, Duarte-Salles T, Prats-Uribe A, Sena AG, Pistillo A, Khalid S, Lai LYH, Golozar A, Alshammari TM, Dawoud DM, Nyberg F, Wilcox AB, Andryc A, Williams A, Ostropolets A, Areia C, Jung CY, Harle CA, Reich CG, Blacketer C, Morales DR, Dorr DA, Burn E, Roel E, Tan EH, Minty E, DeFalco F, de Maeztu G, Lipori G, Alghoul H, Zhu H, Thomas JA, Bian J, Park J, Martínez Roldán J, Posada JD, Banda JM, Horcajada JP, Kohler J, Shah K, Natarajan K, Lynch KE, Liu L, Schilling LM, Recalde M, Spotnitz M, Gong M, Matheny ME, Valveny N, Weiskopf NG, Shah N, Alser O, Casajust P, Park RW, Schuff R, Seager S, DuVall SL, You SC, Song S, Fernández-Bertolín S, Fortin S, Magoc T, Falconer T, Subbian V, Huser V, Ahmed WU, Carter W, Guan Y, Galvan Y, He X, Rijnbeek PR, Hripcsak G, Ryan PB, Suchard MA, Prieto-Alhambra D. Kostka K, et al. Among authors: liu l. Clin Epidemiol. 2022 Mar 22;14:369-384. doi: 10.2147/CLEP.S323292. eCollection 2022. Clin Epidemiol. 2022. PMID: 35345821 Free PMC article.
Unraveling COVID-19: a large-scale characterization of 4.5 million COVID-19 cases using CHARYBDIS.
Prieto-Alhambra D, Kostka K, Duarte-Salles T, Prats-Uribe A, Sena A, Pistillo A, Khalid S, Lai L, Golozar A, Alshammari TM, Dawoud D, Nyberg F, Wilcox A, Andryc A, Williams A, Ostropolets A, Areia C, Jung CY, Harle C, Reich C, Blacketer C, Morales D, Dorr DA, Burn E, Roel E, Tan EH, Minty E, DeFalco F, de Maeztu G, Lipori G, Alghoul H, Zhu H, Thomas J, Bian J, Park J, Roldán JM, Posada J, Banda JM, Horcajada JP, Kohler J, Shah K, Natarajan K, Lynch K, Liu L, Schilling L, Recalde M, Spotnitz M, Gong M, Matheny M, Valveny N, Weiskopf N, Shah N, Alser O, Casajust P, Park RW, Schuff R, Seager S, DuVall S, You SC, Song S, Fernández-Bertolín S, Fortin S, Magoc T, Falconer T, Subbian V, Huser V, Ahmed WU, Carter W, Guan Y, Galvan Y, He X, Rijnbeek P, Hripcsak G, Ryan P, Suchard M. Prieto-Alhambra D, et al. Among authors: liu l. Res Sq [Preprint]. 2021 Mar 1:rs.3.rs-279400. doi: 10.21203/rs.3.rs-279400/v1. Res Sq. 2021. Update in: Clin Epidemiol. 2022 Mar 22;14:369-384. doi: 10.2147/CLEP.S323292 PMID: 33688639 Free PMC article. Updated. Preprint.
A high reticulocyte count is a risk factor for the onset of metabolic dysfunction-associated steatotic liver disease: Cross-sectional and prospective studies of data of 310,091 individuals from the UK Biobank.
Ma PC, Li QM, Li RN, Hong C, Cui H, Zhang ZY, Li Y, Xiao LS, Zhu H, Zeng L, Xu J, Lai WN, Liu L. Ma PC, et al. Among authors: liu l. Front Pharmacol. 2024 Jul 1;15:1281095. doi: 10.3389/fphar.2024.1281095. eCollection 2024. Front Pharmacol. 2024. PMID: 39011501 Free PMC article.
Association between fatty liver index and controlled attenuation parameters as markers of metabolic dysfunction-associated fatty liver disease and bone mineral density: observational and two-sample Mendelian randomization studies.
Zeng L, Li Y, Hong C, Wang J, Zhu H, Li Q, Cui H, Ma P, Li R, He J, Zhu H, Liu L, Xiao L. Zeng L, et al. Among authors: liu l. Osteoporos Int. 2024 Apr;35(4):679-689. doi: 10.1007/s00198-023-06996-0. Epub 2024 Jan 15. Osteoporos Int. 2024. PMID: 38221591
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