1,720,956 research outputs found
Morbid obesity among Crohn's disease patients is on the rise and is associated with a higher rate of surgical complications after ileocolic resection
No full textAim: Crohn's disease (CD) is regarded as a wasting disease, yet there is a growing population of CD patients with a body mass index (BMI) of 35 and above. The rate of postoperative complications is relatively high in CD patients but might be even higher in CD with morbid obesity (MO). Methods: This was a retrospective study using a prospectively maintained database of all patients undergoing Ileocolic resection for CD between 2014 and 2021 in two referral centres, comparing postoperative complication rates according to BMI. Results: Three hundred and forty-six patients were identified. Sixty patients (17%) had a BMI over 30 kg/m2, and 28 (8.1%) had a BMI of over 35 kg/m2 (>35 group). The BMI >35 group had more women (78.6% vs. 52%, P < 0.1), a higher rate of patients not receiving an anastomosis (7.1% vs. 2.5%, P = 0.02), a higher rate of any postoperative surgical complication (32.1% vs. 25.2%, P = 0.4), with a higher rate of Clavien-Dindo ≥3 (14.3% vs. 7.2%, P = 0.25), a higher rate of stoma creation on reoperation for complications (7.2% vs. 1.7%, P = 0.04), a higher rate of 30-day readmission due to intra-abdominal abscess (10.7% vs. 4.7%, P = 0.2), but a lower rate of postoperative medical complications (3.6% vs. 15.7%, P < 0.01). Conclusions: The rate of MO among CD patients requiring ileocolonic resection is on the rise. MO in this setting is associated with statistically non-significant increases in all surgical complications, severe complications, readmission, and a higher chance for a bailout stoma creation upon reoperation. However, MO seems to be a protective factor for medical postoperative complications, which might suggest better nutritional status
Super Learner Enhances Postoperative Complication Prediction in Colorectal Surgery
No full textObjective: To determine if a Super Learner (SL) machine learning approach could improve the predictive accuracy of the American College of Surgeons Risk Calculator (ACS-RC) for postoperative complications in patients undergoing colorectal surgery. Summary of Background Data: Machine learning (ML) has shown significant potential to advance medical fields, including surgical risk prediction. Current tools, like the ACS-RC which uses logistic regression and extreme gradient boosting, are standard but may be enhanced by more advanced ML ensembles. Methods: This retrospective study analyzed colorectal surgery cases from the 2018-2022 ACS National Surgical Quality Improvement Program (NSQIP) database. An SL model, which combines multiple ML algorithms, was developed to predict fourteen postoperative outcomes. Its performance was compared against traditional logistic regression (LOG) and extreme gradient boosting (XGB) models. Key performance metrics included discrimination (AUROC, AUPRC) and calibration (Brier score, Hosmer-Lemeshow test). Results: The SL model demonstrated superior performance across all predicted complications when compared to both LOG and XGB. It showed superior discrimination for severe outcomes, achieving an AUROC greater than 0.94 for predicting mortality. The SL model was also more accurate in predicting infectious complications and length of stay, and its calibration metrics indicated a better overall fit and accuracy. Conclusions: The Super Learner model enhances the accuracy of postoperative risk prediction in colorectal surgery. Its superior performance suggests it is a promising tool for improving personalized patient counseling, aiding clinical decision-making, and optimizing resource allocation
Evaluating the Impact of Robotic IPAA
No full textObjective: To compare robotic-assisted proctectomy with ileal pouch-anal anastomosis (R-IPAA) outcomes and laparoscopic proctectomy with ileal pouch-anal anastomosis (L-IPAA) within a specialized robotic surgery center, using matching techniques to minimize potential confounding factors. Summary background data: Minimally invasive approaches, particularly laparoscopy, have improved outcomes for IBD and FAP patients undergoing IPAA. Robotic-assisted surgery offers potential technical advantages, but its definitive superiority over laparoscopy in this context remains under debate. Methods: This retrospective, STROBE-compliant study analyzed 234 consecutive IPAA patients (117 robotic, 117 laparoscopic). Data encompassed patient demographics, intraoperative details, and postoperative outcomes. We employed various matching techniques to address potential bias. Primary endpoints focused on 30-day complications, readmissions, and reoperations, with secondary endpoints including hospital stay, blood loss, and stoma closure rates. Results: R-IPAA demonstrated a lower conversion rate to open surgery (P=0.02), a shorter hospital stay (P=0.04), and reduced blood loss (P=0.0003) compared to L-IPAA. While overall 30-day morbidity rates were similar (P=0.4), matched analyses suggested a trend towards fewer reoperations and 3-month IPAA-associated complications after diverting loop ileostomy closure in the robotic group. However, these differences did not reach statistical significance. Conclusions: In a high-volume robotic surgery center, R-IPAA reduced the risk of conversion to open surgery while reducing intraoperative blood loss and providing shorter length of stay with equivalent perioperative outcomes. Promising trends to reduce 30-day reoperations and surgical complications following DLI closure were observed after a matching analysis
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
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