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| http://dx.doi.org/10.21037/jtd.2017.06.44 | DOI Listing |
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Lessons Learned From Characterizing Long COVID Among US Medicare Beneficiaries.
Pharmacoepidemiol Drug Saf
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Center for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring, Maryland, USA.
Purpose: To characterize long-term effects of COVID-19 among older adults (aged ≥ 65 years).
Methods: This retrospective descriptive study utilized Medicare Fee-for-Service beneficiaries' claims to characterize post-COVID condition diagnosis code usage, long COVID (defined as post-COVID condition diagnoses made ≥ 28 days after an initial COVID-19 diagnosis) incidence, patient demographics, and concurrent diagnoses.
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Enhance health evidence quality in classification tasks: A triangulation approach utilizing case-based reasoning and process features.
Digit Health
January 2025
School of Computer Science, The University of Sydney, Sydney, NSW, Australia.
Objective: Machine learning (ML) has enabled healthcare discoveries by facilitating efficient modeling, such as for cancer screening. Unlike clinical trials, real-world data used in ML are often gathered for multiple purposes, leading to bias and missing information for a specific classification task. This challenge is especially pronounced in healthcare because of stringent ethical considerations and resource constraints.
View Article and Find Full Text PDFKindlin-1 promotes gastric cancer cell motility through the Wnt/β-catenin signaling pathway.
Sci Rep
January 2025
Department of Integrative Biological Sciences and BK21 FOUR Educational Research Group for Age-Associated Disorder Control Technology, Chosun University, Gwangju, 61452, Republic of Korea.
Despite advances in gastric cancer diagnosis and treatment, its prognosis remains poor owing to aggressive tumor progression and metastasis. As understanding the relevant molecular mechanisms is essential to effectively improve patient outcomes, we elucidated the role of Kindlin-1 in gastric cancer progression and metastasis. Kindlin-1 expression was analyzed in 359 gastric cancer tissue samples provided by Kangnam Sacred Heart Hospital and publicly available GSE datasets.
View Article and Find Full Text PDFDisparities in 180-day Infection Rates Following Coronary Artery Bypass Grafting and Aortic Valve Replacement.
J Thorac Cardiovasc Surg
January 2025
Department of Cardiac Surgery, Michigan Medicine, University of Michigan, Ann Arbor, MI; The Michigan Society of Thoracic and Cardiovascular Surgeons Quality Collaborative, Ann Arbor, MI. Electronic address:
Objective: To compare sex and racial differences in 180-day infection rates after coronary artery bypass grafting (CABG) and aortic valve replacement (AVR).
Methods: A Statewide Society of Thoracic Surgeons Adult Cardiac Surgery Database was linked to Medicare claims data to identify 8,887 beneficiaries undergoing CABG and AVR (surgical or transcatheter) between 2017 and 2021. The primary outcome was the incidence of 180-day infection.
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