scispace - formally typeset
I

Ilker Tasci

Researcher at University of Health Sciences Antigua

Publications -  207
Citations -  2035

Ilker Tasci is an academic researcher from University of Health Sciences Antigua. The author has contributed to research in topics: Medicine & Sarcopenia. The author has an hindex of 22, co-authored 190 publications receiving 1791 citations. Previous affiliations of Ilker Tasci include Turkish Ministry of Health & Yahoo!.

Papers
More filters
Journal ArticleDOI

Complexity of medication adherence among middle-aged and older adults (Comment on 'Association between cognitive function and self-reported antihypertensive medication adherence among middle-aged and older hypertensive women').

TL;DR: In this paper , the authors investigated the association between cognitive function and self-reported antihypertensive medication adherence among middle-aged and older hypertensive women in a clinical nursing setting.

Vaccination status and related factors in an elderly Turkish population sample: A cross-sectional study

TL;DR: The aim of the present study was to investigate the vaccina tion status and related factors among geriatric individuals and self- reported status of vaccinations for influenza, pneumococcal, tetanus, pandemic influenza A/H1N1 and hepatitis B in people over 65 years of age.
Journal ArticleDOI

The role of glycated haemoglobin in clinical decision‐making of diabetes overtreatment

Ilker Tasci
- 19 Dec 2022 - 
TL;DR: Christiaens et al. as mentioned in this paper evaluated the prevalence of overtreatment based on glycated haemoglobin and antidiabetic drug use, ranging from 9.2% to 79% depending on the age group, comorbidity burden and setting.
Journal ArticleDOI

Comment on "The psoas muscle index as a predictor of mortality and morbidity of geriatric trauma patients: experience of a major trauma center in Kobe."

TL;DR: Muscle mass measurement, either through bioelectrical impedance analysis or psoas muscle area on computerized tomography (CT)/magnetic resonance imaging, is unlikely to be a single reliable indicator of deprived muscle dynamics according to current guidelines.