1,721,013 research outputs found
Frequency and Clinical Impact of Anticholinergic Burden in older patients: Comparing older patients with and without chronic kidney disease.
No full textAim: This study aimed to determine the frequency and impact of anticholinergic burden in older adults with chronic kidney disease (CKD) and compare the results to older adults without CKD. Method: Age- and sex-matched older adults (age ≥60) were selected from a total cohort of 1557 subjects, and grouped as CKD (n = 589) and Non-CKD (n = 589). Groups were compared for the frequency, type of anticholinergic agents, and their effects on comprehensive geriatric assessment parameters. The anticholinergic burden was assessed using the anticholinergic burden (ACB) scale. An ACB of ≥2 was categorized as high anticholinergic burden. Results: The mean age of the partients was 81±6, and 66% were female. More patients in the CKD group experienced a high anticholinergic burden (45%, versus 38%, p = 0.015). Patients with CKD were more likely to receive beta blocker (25% versus 19%, p = 0.018), diuretic (19% versus 6%, p<0.001), while those who did not have CKD were more likely to be treated with dopaminergic agents (8% versus 12%, p = 0.039). A high anticholinergic burden was associated with sarcopenia (OR 1.62, 95% CI 1.10–2.38, p = 0.015), geriatric depression scale (OR 1.50, 95% CI 1.02–2.20, p = 0.037), and polypharmacy (OR 4.05, 95% CI 2.38–6.90, p<0.001), after adjustment for age, sex and comorbidities in the CKD group (p<0.05). Conclusion: Older patients with CKD are more likely to be exposed to drugs with anticholinergic effects, but have less clinical implications than those without CKD. A high anticholinergic burden is associated with polypharmacy, depression and sarcopenia in CKD
Risk factors for high fall risk in elderly patients with chronic kidney disease
Full text linkPurpose: Patients with chronic kidney disease (CKD) usually represent an aging population, and both older age and CKD are associated with a higher risk of falling. Studies on risk factors among subjects with CKD are lacking. Methods: Records of outpatients from one geriatric clinic in Turkey were retrospectively reviewed. A result of ≥ 13.5 s on the timed up and go (TUG) test was accepted as a high risk of falls. Independent predictors of an increased risk of falls among subjects with CKD (estimated glomerular filtration rate of < 60 mL/min/1.73 m2) were identified using logistic regression models. Results: Patients with CKD (n = 205), represented the 20.2% of the entire cohort and was identified as an independent predictor of increased fall risk (OR 2.59). Within the CKD cohort, serum folic acid levels and frailty were independent predictors of an increased risk of falls. The CKD/fall risk group was older, had a lower median years of education, lower vitamin D levels, and lower serum folic acid levels than the CKD/non-fall risk group. In addition to higher serum creatinine and potassium levels, the only significant difference between patients with CKD/fall risk and a matched non-CKD/fall risk was a lower median folic acid level in the former group. Conclusions: Frailty and low folic acid levels are independently associated with an increased risk of falls among elderly outpatients with CKD. Prevention of frailty may reduce the risk of falls in these subjects. Possible benefit of folic acid supplementation requires further studies. © 2021, The Author(s), under exclusive licence to Springer Nature B.V
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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