1,721,005 research outputs found
Bedside testing for chronic pelvic pain: discriminating visceral from somatic pain
Objectives. This study was done to evaluate three bedside tests in discriminating
visceral pain from somatic pain among women with chronic pelvic pain. Study
Design. The study was an exploratory cross-sectional evaluation of 81 women with
chronic pelvic pain of 6 or more months' duration. Tests included abdominal
cutaneous allodynia (aCA), perineal cutaneous allodynia (pCA), abdominal and
perineal myofascial trigger points (aMFTP) and (pMFTP), and reduced pain
thresholds (RPTs). Results. Eighty-one women were recruited, and all women
provided informed consent. There were 62 women with apparent visceral pain and 19
with apparent somatic sources of pain. The positive predictive values for pelvic
visceral disease were aCA-93%, pCA-91%, aMFTP-93%, pMFTP-81%, and RPT-79%. The
likelihood ratio (+) and 95% C.I. for the detection of visceral sources of pain
were aCA-4.19 (1.46, 12.0), pCA-2.91 (1.19, 7.11), aMTRP-4.19 (1.46, 12.0),
pMFTP-1.35 (0.86, 2.13), and RPT-1.14 (0.85, 1.52), respectively. Conclusions.
Tests of cutaneous allodynia, myofascial trigger points, and reduced pain
thresholds are easily applied and well tolerated. The tests for cutaneous
allodynia appear to have the greatest likelihood of identifying a visceral source
of pain compared to somatic sources of pain
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
Prediction of postoperative pain after gynecologic laparoscopy for nonacute pelvic pain
OBJECTIVE: The primary objectives of this study were to explore the pain
experience after gynecologic laparoscopy that is performed for nonacute pain
conditions and to determine whether preoperative psychologic tests and
quantitative tests of sensitization can predict postoperative pain.
STUDY DESIGN: Participants included 61 women who underwent laparoscopy for
nonacute pain (n = 61). A second group of 16 women who had undergone tubal
ligation was included to explore whether laparoscopy induced a painful
postoperative response in women without preoperative pain. Subjective tests
included numeric pain scale, pain catastrophizing scale, depression scale, global
assessment of change, and the McGill Pain Questionnaire Short Form. Quantitative
sensory testing included abdominal cutaneous allodynia, trigger points, and
reduced pain thresholds. The nonacute pain sample had 80% power to detect a
difference of 0.5 standard deviation in average pain levels. Analysis included
parametric and nonparametric comparisons of groups and univariate and linear
regression analysis of clinically relevant variables.
RESULTS: In women who underwent tubal ligation, pain levels were low before and
after the procedure. In women who underwent surgery for nonacute pain, pain
levels at 6 months and all psychologic test scores were reduced significantly
compared with baseline (P < .001 and P = .001, respectively). Among those women
with positive results on the quantitative pain tests of sensitization at
baseline, average postoperative pain was also significantly reduced (P < .001).
Univariate analysis demonstrated only tests of sensitization that were correlated
with change in average pain level (P = .01). Regression analysis suggested that
baseline pain, catastrophizing, and the presence of cutaneous allodynia
significantly predicted pain levels 6 months after surgery (P < .001).
CONCLUSION: Pain after laparoscopic surgery for nonacute painful conditions can
be predicted by baseline pain, catastrophizing, and the presence of allodynia,
which is a simple swab test that indicates sensitization
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
Author-wise bibliometric analysis based on entropy.
Author-wise bibliometric analysis based on entropy.</p
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