Zobrazeno 1 - 10
of 339
pro vyhledávání: '"Incidence density"'
Publikováno v:
BMC Public Health, Vol 24, Iss 1, Pp 1-7 (2024)
Abstract Background Hypertension (HTN) and type 2 diabetes mellitus (T2DM) are interconnected metabolic disorders with escalating global incidence and prevalence. However, no longitudinal studies have specifically examined the incidence of HTN and T2
Externí odkaz:
https://doaj.org/article/636ae8ca9615416eb180e706c37f25c9
Publikováno v:
Trials, Vol 25, Iss 1, Pp 1-10 (2024)
Abstract Background The SAVVY project aims to improve the analyses of adverse events (AEs) in clinical trials through the use of survival techniques appropriately dealing with varying follow-up times and competing events (CEs). This paper summarizes
Externí odkaz:
https://doaj.org/article/bafe00c99c664a52b3b7b6c209ee7464
Autor:
Limin Cao, Yu An, Huiyuan Liu, Jinguo Jiang, Wenqi Liu, Yuhan Zhou, Mengyuan Shi, Wei Dai, Yanling Lv, Yuhong Zhao, Yanhui Lu, Liangkai Chen, Yang Xia
Publikováno v:
BMC Medicine, Vol 22, Iss 1, Pp 1-22 (2024)
Abstract Background Non-alcoholic fatty liver disease (NAFLD) and metabolic-associated fatty liver disease (MAFLD) shares common pathophysiological mechanisms with type 2 diabetes, making them significant risk factors for type 2 diabetes. The present
Externí odkaz:
https://doaj.org/article/6dcfd2647e8848948725661c6ab13365
Autor:
ZHENG Yaxu, YU Xiao, WU Huanyu, WU Liming, CHEN Jian, XIAO Wenjia, HUANG Zhuoying, LIN Sheng, FANG Qiwen, LIU Rui, ZHANG Hao, CHEN Xin
Publikováno v:
Shanghai yufang yixue, Vol 36, Iss 1, Pp 5-10 (2024)
ObjectiveTo present the exploration and application of a prospective follow-up research method for acute infectious disease surveillance based on natural community populations, using COVID-19 infection as an example, and to provide a reference fo
Externí odkaz:
https://doaj.org/article/baeb6c8209ee4c9d93fa841f878e446e
Publikováno v:
Frontiers in Endocrinology, Vol 14 (2023)
BackgroundEvidence regarding the association between metabolism-related indicators and serum urate (SU) is limited. We aimed to obtain the incidence density of hyperuricemia and to explore the association between metabolism-related predisposing risk
Externí odkaz:
https://doaj.org/article/e7caa009e58549c49155f88d6dc8b2aa
Publikováno v:
Allergy, Asthma & Clinical Immunology, Vol 19, Iss 1, Pp 1-11 (2023)
Abstract Background Results of studies evaluating the relationship between asthma occurrence and early life antibiotic use have been conflicting. The aim of this study was to investigate the relationship between occurrence of asthma in children and s
Externí odkaz:
https://doaj.org/article/5b0ac5ea3fa042ef8e3a9449087ec105
Autor:
Jenine Leal, Heidi M. O’Grady, Logan Armstrong, Devika Dixit, Zoha Khawaja, Kate Snedeker, Jennifer Ellison, Joyce Erebor, Peter Jamieson, Amanda Weiss, Daniel Salcedo, Kimberley Roberts, Karen Wiens, Matthew A. Croxen, Byron M. Berenger, Kanti Pabbaraju, Yi-Chan Lin, David Evans, John M. Conly
Publikováno v:
Antimicrobial Resistance and Infection Control, Vol 12, Iss 1, Pp 1-13 (2023)
Abstract Background Risk factors for nosocomial COVID-19 outbreaks continue to evolve. The aim of this study was to investigate a multi-ward nosocomial outbreak of COVID-19 between 1st September and 15th November 2020, occurring in a setting without
Externí odkaz:
https://doaj.org/article/65162c2c68b048f7a14b3719817d2827
Autor:
Lemma Tirore L, Abose Nadamo S, Tamrat Derilo H, Erkalo D, Sedore T, Tadesse T, Ermias D, Yaekob T
Publikováno v:
Infection and Drug Resistance, Vol Volume 15, Pp 3047-3062 (2022)
Lire Lemma Tirore,1 Selamu Abose Nadamo,2 Habtamu Tamrat Derilo,3 Desta Erkalo,1 Tagesse Sedore,1 Tegegn Tadesse,1 Dejene Ermias,1 Temesgen Yaekob4 1Department of Public Health, Wachemo University, Hossana, Ethiopia; 2Department of Midwifery, Wachemo
Externí odkaz:
https://doaj.org/article/bc96c299cfb64aea881e8cdd1d874afd
Publikováno v:
Clinical Epidemiology, Vol Volume 14, Pp 677-688 (2022)
Ninna Hinchely Ebdrup,1– 3 Anders Hammerich Riis,4,5 Cecilia Høst Ramlau-Hansen,2 Bjørn Bay,1,6 Julie Lyngsø,7 Dorte Rytter,2 Marianne Johansson Jørgensen,4 Ulla Breth Knudsen1,3 1Department of Obstetrics and Gynecology, Fertility Clinic, Horse
Externí odkaz:
https://doaj.org/article/d276fa8ac29f4d80a15101323ce9f858
Autor:
Lin Zhao, Hai-Tao Wang, Run-Ze Ye, Zhen-Wei Li, Wen-Jing Wang, Jia-Te Wei, Wan-Yu Du, Chao-Nan Yin, Shan-Shan Wang, Jin-Yue Liu, Xiao-Kang Ji, Yong-Chao Wang, Xiao-Ming Cui, Xue-Yuan Liu, Chun-Yu Li, Chang Qi, Li-Li Liu, Xiu-Jun Li, Fu-Zhong Xue, Wu-Chun Cao
Publikováno v:
BMC Infectious Diseases, Vol 22, Iss 1, Pp 1-12 (2022)
Abstract Background The current surveillance system only focuses on notifiable infectious diseases in China. The arrival of the big-data era provides us a chance to elaborate on the full spectrum of infectious diseases. Methods In this population-bas
Externí odkaz:
https://doaj.org/article/bf23e4f05c2d46bab614847dd8d05285