Publications by authors named "W Glinkowski"

Background: Knee osteoarthritis (OA) is a prevalent degenerative disease affecting synovial joints, predominantly the knee, leading to various complications, including mental health conditions like depression and anxiety. This systematic review aimed to determine the prevalence of depression and anxiety in knee OA patients.

Methods: A comprehensive literature search was conducted in various databases till September 15, 2023.

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The main aim of this study was to understand the regulation of the biosynthesis of phytohormones as signaling molecules in the defense mechanisms of pea seedlings during the application of abiotic and biotic stress factors. It was important to identify this regulation at the molecular level in L. seedlings under the influence of various concentrations of lead-i.

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Quantitative research of bone tissue related to physical activity (PA) and sport has a preventive dimension. Increasing the parameters of bone tissue strength, especially reaching the maximum value of peak bone strength in childhood, adolescence, and early adulthood due to practicing sports can contribute to maintaining bone health throughout life. Practicing martial arts (tai chi, traditional karate, judo, and boxing) can effectively improve the quality of bone and reduce the risk of falls and fractures.

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Orthopedic associations advocated telemedicine during the COVID-19 pandemic to prevent disease transmission without hindering providing services to orthopedic patients. The study aimed to evaluate outpatient orthopedic teleconsultations' timing, length, and organizational issues in the circumstances of the COVID-19 pandemic based on consecutive orthopedic teleconsultations during the period of the first lockdown. Orthopedic telemedical consultations (OTCs) were provided from March 23, 2020, to June 1, 2020, and analyzed retrospectively based on mobile smartphone billing and electronic health record.

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Article Synopsis
  • The study focuses on improving the evaluation of patient experiences in Poland's healthcare by using free-text narratives from international students.
  • Researchers developed algorithms to extract relevant information from these narratives while also conducting linguistic analysis to create a lexicon and syntactic structures.
  • The findings revealed that the algorithm's classifications closely matched those done by human readers, indicating that such automated methods are effective and cost-efficient for assessing patient satisfaction in health services.
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