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Full-Text Articles in Medicine and Health Sciences
Survival Analysis And Prognostic Factors Of The Carcinoma Of Gallbladder, Zainab Feroz, Priyanka Gautam, Sonia Tiwari, Girish C. Shukla, Munish Kuma
Survival Analysis And Prognostic Factors Of The Carcinoma Of Gallbladder, Zainab Feroz, Priyanka Gautam, Sonia Tiwari, Girish C. Shukla, Munish Kuma
Biological, Geological, and Environmental Faculty Publications
Background: The present study aims to evaluate the survival status of patients with gallbladder cancer (GBC) and explore the prognostic factors for the improvement and preventions.
Methods: The study consists of 176 patients with clinically diagnosed gallbladder cancer; the study was conducted between 2019 and 2021 registered at Kamala Nehru Memorial Cancer Hospital, Prayagraj, India. The survival rates were analyzed by the Kaplan-Meier method; survival rate difference was analyzed by log-rank test, prognosis factors; and hazard ratio for mortality outcomes was estimated using Cox regression method.
Results: The overall median survival time of patients was 5 months with the 1-year, …
Transcriptomics-Based Network Medicine Approach Identifies Metformin As A Repurposable Drug For Atrial Fibrillation, Jessica C. Lal, Chengsheng Mao, Yadi Zhou, Shamone R. Gore-Panter, Julie H. Rennison, Beth S. Lovano, Et. Al
Transcriptomics-Based Network Medicine Approach Identifies Metformin As A Repurposable Drug For Atrial Fibrillation, Jessica C. Lal, Chengsheng Mao, Yadi Zhou, Shamone R. Gore-Panter, Julie H. Rennison, Beth S. Lovano, Et. Al
Biological, Geological, and Environmental Faculty Publications
Effective drugs for atrial fibrillation (AF) are lacking, resulting in significant morbidity and mortality. This study demonstrates that network proximity analysis of differentially expressed genes from atrial tissue to drug tar-gets can help prioritize repurposed drugs for AF. Using enrichment analysis of drug-gene signatures and functional testing in human inducible pluripotent stem cell (iPSC)-derived atrial-like cardiomyocytes, we identify metformin as a top repurposed drug candidate for AF. Using the active compactor, a new design analysis of large-scale longitudinal electronic health record (EHR) data, we determine that metformin use is significantly associated with a reduced risk of AF (odds ratio = …