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Lipoprotein(a) as a risk factor in a cohort of hospitalised cardiovascular patients : A retrospective clinical routine data analysis
David Šuran, Tadej Završnik, Peter Kokol, Marko Kokol, Andreja Sinkovič, Franjo Naji, Jernej Završnik, Helena Blažun Vošner, Vojko Kanič, 2023, izvirni znanstveni članek

Opis: Lipoprotein(a) (Lp(a)) is a well-recognised risk factor for ischemic heart disease (IHD) and calcific aortic valve stenosis (AVS). Methods: A retrospective observational study of Lp(a) levels (mg/dL) in patients hospitalised for cardiovascular diseases (CVD) in our clinical routine was performed. The Lp(a)-associated risk of hospitalisation for IHD, AVS, and concomitant IHD/AVS versus other non-ischemic CVDs (oCVD group) was assessed by means of logistic regression. Results: In total of 11,767 adult patients, the association with Lp(a) was strongest in the IHD/AVS group (eβ = 1.010, p < 0.001), followed by the IHD (eβ = 1.008, p < 0.001) and AVS group (eβ = 1.004, p < 0.001). With increasing Lp(a) levels, the risk of IHD hospitalisation was higher compared with oCVD in women across all ages and in men aged ≤75 years. The risk of AVS hospitalisation was higher only in women aged ≤75 years (eβ = 1.010 in age < 60 years, eβ = 1.005 in age 60–75 years, p < 0.05). Conclusions: The Lp(a)-associated risk was highest for concomitant IHD/AVS hospitalisations. The differential impact of sex and age was most pronounced in the AVS group with an increased risk only in women aged ≤75 years.
Ključne besede: acute myocardial infarction, aortic valve stenosis, atherosclerosis, cardiovascular diseases, cardiovascular risk, ischemic heart disease, lipoprotein(a), postmenopausal women
Objavljeno v DKUM: 12.06.2024; Ogledov: 44; Prenosov: 0
.pdf Celotno besedilo (285,58 KB)
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Research trends in motivation and weight loss : a bibliometric-based review
Uroš Železnik, Peter Kokol, Jasmina Starc, Danica Železnik, Jernej Završnik, Helena Blažun Vošner, 2023, pregledni znanstveni članek

Opis: Obesity is a complex disease that, like COVID-19, has reached pandemic proportions. Consequently, it has become a rapidly growing scientific field, represented by an extensive body of research publications. Therefore, the aim of this study was to present the research trends in the scientific literature on motivation and weight loss. Because traditional knowledge synthesis approaches are not appropriate for analyzing large corpora of research evidence, we utilized a novel knowledge synthesis approach called synthetic knowledge synthesis (SKS) to generate new holistic insights into obesity research focusing on motivation. SKS is a triangulation of bibliometric analysis, bibliometric mapping, and content analysis. Using it, we analyzed the corpus of publications retrieved from the Scopus database, using the search string TITLE-ABS-KEY((obesity or overweight) and “weight loss” and motiv*) in titles, keywords, and abstracts, without any additional inclusion or exclusion criteria. The search resulted in a corpus of 2301 publications. The United States of America, the United Kingdom, and Australia were the most productive countries. Four themes emerged, namely, weight loss and weight-loss maintenance through motivational interventions, lifestyle changes supported by smart ICT, maintaining sustainable weight with a healthier lifestyle, and weight management on the level of primary healthcare and bariatric surgery. Further, we established that the volume of research literature is growing, as is the scope of the research. However, we observed a regional concentration of research and its funding in developed countries and almost nonexistent research cooperation between developed and less-developed countries.
Ključne besede: obesity, weight loss, motivation, synthetic knowledge synthesis, bibliometrics, content analysis
Objavljeno v DKUM: 05.06.2024; Ogledov: 62; Prenosov: 4
.pdf Celotno besedilo (2,16 MB)
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Podatkovna analitika z Apache NiFi in Apache Superset
Žak Ternik, 2024, diplomsko delo

Opis: V diplomskem delu je prikazana implementacija celovite rešitve za zajem, obdelavo in vizualizacijo podatkov pridobljenih iz sistema za vodenje sredstev IBM Maximo, ter vremenskega API-ja. Predstavili smo postopek namestitve odprtokodnih orodij Apache NiFi in Apache Superset. Znotraj Apache NiFi smo razvili podatkovne tokove za ekstrakcijo in obdelavo podatkov iz sistema IBM Maximo in vremenskega aplikacijskega vmesnika, ter le-te shranili v PostgreSQL podatkovno bazo. Ti podatki služijo kot osnova za vizualizacijo statistike delovnih nalogov ter napovedovanje uspešnosti zaključevanja delovnih nalogov glede na vremensko napoved v orodju Apache Superset.
Ključne besede: Apache NiFi, Apache Superset, podatkovna analitika, pridobivanje podatkov, vizualizacija podatkov
Objavljeno v DKUM: 04.06.2024; Ogledov: 105; Prenosov: 12
.pdf Celotno besedilo (4,35 MB)

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Primerjalna analiza agilnih in tradicionalnih pristopov k organizaciji dela v podjetjih
Irina Sobianina, 2024, diplomsko delo

Opis: Naša raziskava se osredotoča na poglobljeno analizo agilnih in tradicionalnih pristopov k organizaciji dela v podjetjih. Skozi temeljito primerjalno analizo smo sistematično preučili značilnosti obeh pristopov, z namenom identifikacije njihovih prednosti in slabosti ter razumevanja njihovega potencialnega vpliva na učinkovitost organizacije. Posebno pozornost smo namenili razlikam med metodologijami ter njihovemu vplivu na delovno okolje sodobnih organizacij. Za pridobitev celovitega vpogleda smo izvedli anketiranje posameznikov, s ciljem ustvarjanja statistično utemeljenega mnenja o praktični uporabnosti obeh pristop
Ključne besede: projektno vodenje, agilne metodologije, tradicionalne metodologije, anketa
Objavljeno v DKUM: 03.06.2024; Ogledov: 69; Prenosov: 7
.pdf Celotno besedilo (1,37 MB)

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Age-related changes in lipid and glucose levels associated with drug use and mortality : an observational study
Rene Markovič, Vladimir Grubelnik, Helena Blažun Vošner, Peter Kokol, Matej Završnik, Karmen Janša, Marjeta Zupet, Jernej Završnik, Marko Marhl, 2022, izvirni znanstveni članek

Opis: Background: The pathogenesis of type 2 diabetes mellitus is complex and still unclear in some details. The main feature of diabetes mellitus is high serum glucose, and the question arises of whether there are other statistically observable dysregulations in laboratory measurements before the state of hyperglycemia becomes severe. In the present study, we aim to examine glucose and lipid profiles in the context of age, sex, medication use, and mortality. Methods: We conducted an observational study by analyzing laboratory data from 506,083 anonymized laboratory tests from 63,606 different patients performed by a regional laboratory in Slovenia between 2008 and 2019. Laboratory data-based results were evaluated in the context of medication use and mortality. The medication use database contains anonymized records of 1,632,441 patients from 2013 to 2018, and mortality data were obtained for the entire Slovenian population. Results: We show that the highest percentage of the population with elevated glucose levels occurs approximately 20 years later than the highest percentage with lipid dysregulation. Remarkably, two distinct inflection points were observed in these laboratory results. The first inflection point occurs at ages 55 to 59 years, corresponding to the greatest increase in medication use, and the second coincides with the sharp increase in mortality at ages 75 to 79 years. Conclusions: Our results suggest that medications and mortality are important factors affecting population statistics and must be considered when studying metabolic disorders such as dyslipidemia and hyperglycemia using laboratory data.
Ključne besede: diabetes, metabolic syndrome, hematological data, aging
Objavljeno v DKUM: 21.05.2024; Ogledov: 111; Prenosov: 1
.pdf Celotno besedilo (2,12 MB)
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Discrepancies among Scopus and Web of Science, coverage of funding information in medical journal articles : a follow-up study
Peter Kokol, 2023, izvirni znanstveni članek

Opis: Objective: This follow-up study aims to determine if and how the coverage of funding information in Web of Science Core Collection (WoS) and Scopus changed from 2015 to 2021. Methods: The number of all funded articles published in 2021 was identified in WoS and Scopus bibliographic databases using bibliometric analysis on a sample of 52 prestigious medical journals. Results: The analysis of the number of funded articles with funding information showed statistically significant differences between Scopus and WoS due to substantial differences in the number of funded articles between some single journals. Conclusion: Due to significant differences in the number of funded articles indexed in WoS and Scopus, which might be attributed to the different protocols for handling funding data in WoS and Scopus, we would still advise using both databases to obtain and analyze funding information.
Ključne besede: research funding, funding acknowledgement, bibliometrics
Objavljeno v DKUM: 02.04.2024; Ogledov: 132; Prenosov: 18
.pdf Celotno besedilo (362,29 KB)
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