Evaluating the Efficacy and Safety of Tirzepatide on Glycaemic and Non-glycaemic Outcomes in Diabetes: A Systematic Review of Meta-Analyses.

Tirzepatide is a novel once-a-week dual glucose-dependent insulinotropic polypeptide (GIP) and glucagon-like peptide-1 (GLP-1) receptor agonist, recently approved for type 2 diabetes mellitus (T2DM) and obesity. A systematic review of the literature published in multiple meta-analyses on Tirzepatide with emphasis on its effect on glycaemic and non-glycaemic parameters was conducted. We systematically searched the electronic databases PubMed and Google Scholar up to August 2023 for meta-analyses that compared Tirzepatide with placebo or active antihyperglycaemic drugs in subjects with T2DM.

Worst pattern of invasion in oral squamous cell carcinoma is an independent prognostic factor.

Introduction: Biologic aggressiveness of OSCC (Oral Cavity Squamous Cell Carcinoma), has intrigued research in various prognosticating histopathological markers over past few decades. DOI (Depth of Invasion) is one such histopathological factor which affects outcomes and was included in the AJCC 8th edition TNM staging. Pattern of Invasion (POI) has been widely reported as an adverse prognostic factor associated with higher locoregional failure and poor prognosis.

Detection of in umbilical cord blood of new-born and in subgingival plaque of pregnant participants with periodontal disease and its association with pregnancy outcomes: An observational study.

Background: Preterm low birth weight (PLBW) is one of the causes of infant mortality and morbidity. Most of the studies have indicated the periodontal-systemic interlink. The association of periodontal pathogen on pregnancy outcome still stands inconclusive.

Exploring collaborative caption editing to augment video-based learning.

Captions play a major role in making educational videos accessible to all and are known to benefit a wide range of learners. However, many educational videos either do not have captions or have inaccurate captions. Prior work has shown the benefits of using crowdsourcing to obtain accurate captions in a cost-efficient way, though there is a lack of understanding of how learners edit captions of educational videos either individually or collaboratively.