Publications by authors named "A Kagan Zengin"
Quantifying precision error for DXA, peripheral QCT (pQCT), and HR-pQCT is crucial for monitoring longitudinal changes in body composition and musculoskeletal outcomes. Agreement and associations between bone variables assessed using pQCT and second-generation HR-pQCT are unclear. This study aimed to determine the precision of, and agreement and associations between, bone variables assessed via DXA, pQCT, and second-generation HR-pQCT.
View Article and Find Full Text PDFAim: This study aimed to evaluate the prevalence, location and diameters of Posterior superior alveolar artery (PSAA) and Infraorbital foramen (IOF) to find out whether there is any relationship between PSAA and IOF, and to predict their location relative to each other in surgical procedures by using cone beam computed tomography (CBCT).
Material And Method: Bilateral maxillary sinuses were analysed retrospectively in 170 patients with no missing teeth in the maxillary posterior region. The largest locations of PSAA and IOF in the maxillary sinus were determined and their size, shape, location in relation to the teeth and distances from anatomical points were evaluated.
Article Synopsis
- The study investigated the role of inflammation-related biomarkers (SII, SIRI, NLR, PLR) in predicting mid-term mortality and restenosis in patients with peripheral artery disease (PAD).
- During an average follow-up of about 21 months, researchers found that higher levels of these biomarkers correlated with increased mortality rates, particularly highlighting NLR as a significant independent risk factor.
- However, no significant links were established between these biomarkers and the occurrence of restenosis in the study participants.
Background: Parkinson's disease (PD) is the fastest-growing neurological disorder globally. Defining features include tremor, muscular rigidity, bradykinesia, and postural instability, which in combination with nonmotor symptoms such as cognitive impairment and orthostatic hypotension increase the risk of falls. Along with low bone mineral density, fracture risk is high in PD.
View Article and Find Full Text PDFBackground: Non-laboratory-based cardiovascular risk prediction tools are feasible alternatives to laboratory-based tools in low- and middle-income countries. However, their effectiveness compared to their laboratory-based counterparts has not been adequately tested.
Aim: We compared estimates from laboratory-based and non-laboratory-based risk prediction tools in a low- and middle-income country setting.