1,720,957 research outputs found
EFFICACY OF PCSK9 INHIBITORS IN ADDITION TO BACKGROUND STATIN THERAPY COMPARED WITH PLACEBO IN ACHIEVING LDL-C TARGETS IN ADULTS WITH HYPERLIPIDAEMIA: A SYSTEMATIC REVIEW AND META-ANALYSIS OF RANDOMIZED CONTROLLED TRIALS
Objective: To evaluate the effect of Proprotein Convertase Subtilisin/Kexin type 9 (PCSK9) inhibitors, compared with placebo, when added to background statin therapy, on the proportion of adults with hyperlipidaemia achieving low-density lipoprotein cholesterol (LDL-C)<1.8 mmol/l or ≥50% reduction from baseline.
Methods: A systematic search of PubMed, Scopus, Cochrane Library, and Google Scholar (2015–2025) identified randomized controlled trials (RCTs) enrolling adults (≥18 y) with hyperlipidaemia on background statin therapy. Eligible trials compared any PCSK9 inhibitor to placebo, reporting binary outcomes for LDL-C target attainment. Data extraction and risk of bias assessment followed PRISMA 2020 guidelines. Random-effects meta-analysis was performed to calculate pooled risk ratios (RR) with 95% confidence intervals (CI). Heterogeneity (I²), publication bias, and sensitivity analysis were conducted.
Results: Five RCTs (n>50,000 participants) were included. PCSK9 inhibitors significantly increased the likelihood of achieving LDL-C targets versus placebo (pooled RR = 2.57, 95% CI: 2.52–2.63). Individual study RRs ranged from 1.89 to 31.37. Heterogeneity was high (I² = 99.86%), largely influenced by one outlier study; removal of this trial reduced I² to 61.39%. All studies had low risk of bias, and no evidence of publication bias was detected. The GRADE certainty of evidence was rated as moderate, downgraded for inconsistency.
Conclusion: Adding PCSK9 inhibitors to statin therapy substantially improves LDL-C target attainment in high-risk hyperlipidaemia patients, representing a potent adjunctive strategy when conventional lipid-lowering approaches are insufficient
Going Beyond Counting First Authors in Author Co-citation Analysis
The 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
“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
We 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
We 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
We 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
ANTIBACTERIAL ACTIVITY OF THE ETHANOLIC EXTRACT OF LEAVES OF Citrus maxima (Burm.) Merr. ON ESCHERICHIA COLI AND PSEUDOMONAS AERUGINOSA
Objective: The objective of the study was to evaluate the antibacterial activity of the ethanolic extracts of leaves of Citrus maxima (Burm.) Merr. (EECM) on Escherichia coli and Pseudomonas aeruginosa. Methods: The ethanolic extract of leaves of Citrus maxima (Burm.)Merr.(EECM) was prepared by percolation method. Pathological isolates Escherichia coli and Pseudomonas aeruginosa were obtained from the Department of Microbiology, Assam Medical College & Hospital. Disc diffusion method for antimicrobial susceptibility testing was performed according to the Kirby-Bauer method. The whatman-1 filter paper discs of 6mm sizes impregnated with the plant extract were placed on Mueller-Hinton agar plates seeded with bacterial cultures of 0.5 Mc Farland standards. The antibacterial activities were assessed by the presence or absence of inhibition zones after incubating the plates at 370c for 24 hours. Minimum inhibitory concentration (MIC) and minimum bactericidal concentration (MBC) of EECM for the selected pathogens were determined by broth macrodilution method. Results: Maximum zone of inhibition in antibacterial susceptibility test was shown by Pseudomonas aeruginosa. MIC value of the extract for Pseudomonas aeruginosa (0.312mg/ml) was found to be lower than Escherichia coli but MBC value (1.25mg/ml) was found to be the same for both the bacteria. Conclusion: The plant extract of Citrus maxima (Burm.) Merr showed significant antibacterial activity against Escherichia coli and Pseudomonas aeruginosa.
Keywords: Pseudomonas aeruginosa, Escherichia coli, MIC, MBC, Citrus maxima
Author-wise bibliometric analysis based on entropy.
Author-wise bibliometric analysis based on entropy.</p
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