94 research outputs found

    Large expert-curated database for benchmarking document similarity detection in biomedical literature search

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    Document recommendation systems for locating relevant literature have mostly relied on methods developed a decade ago. This is largely due to the lack of a large offline gold-standard benchmark of relevant documents that cover a variety of research fields such that newly developed literature search techniques can be compared, improved and translated into practice. To overcome this bottleneck, we have established the RElevant LIterature SearcH consortium consisting of more than 1500 scientists from 84 countries, who have collectively annotated the relevance of over 180 000 PubMed-listed articles with regard to their respective seed (input) article/s. The majority of annotations were contributed by highly experienced, original authors of the seed articles. The collected data cover 76% of all unique PubMed Medical Subject Headings descriptors. No systematic biases were observed across different experience levels, research fields or time spent on annotations. More importantly, annotations of the same document pairs contributed by different scientists were highly concordant. We further show that the three representative baseline methods used to generate recommended articles for evaluation (Okapi Best Matching 25, Term Frequency-Inverse Document Frequency and PubMed Related Articles) had similar overall performances. Additionally, we found that these methods each tend to produce distinct collections of recommended articles, suggesting that a hybrid method may be required to completely capture all relevant articles. The established database server located at https://relishdb.ict.griffith.edu.au is freely available for the downloading of annotation data and the blind testing of new methods. We expect that this benchmark will be useful for stimulating the development of new powerful techniques for title and title/abstract-based search engines for relevant articles in biomedical research.Peer reviewe

    Impact of opioid-free analgesia on pain severity and patient satisfaction after discharge from surgery: multispecialty, prospective cohort study in 25 countries

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    Background: Balancing opioid stewardship and the need for adequate analgesia following discharge after surgery is challenging. This study aimed to compare the outcomes for patients discharged with opioid versus opioid-free analgesia after common surgical procedures.Methods: This international, multicentre, prospective cohort study collected data from patients undergoing common acute and elective general surgical, urological, gynaecological, and orthopaedic procedures. The primary outcomes were patient-reported time in severe pain measured on a numerical analogue scale from 0 to 100% and patient-reported satisfaction with pain relief during the first week following discharge. Data were collected by in-hospital chart review and patient telephone interview 1 week after discharge.Results: The study recruited 4273 patients from 144 centres in 25 countries; 1311 patients (30.7%) were prescribed opioid analgesia at discharge. Patients reported being in severe pain for 10 (i.q.r. 1-30)% of the first week after discharge and rated satisfaction with analgesia as 90 (i.q.r. 80-100) of 100. After adjustment for confounders, opioid analgesia on discharge was independently associated with increased pain severity (risk ratio 1.52, 95% c.i. 1.31 to 1.76; P < 0.001) and re-presentation to healthcare providers owing to side-effects of medication (OR 2.38, 95% c.i. 1.36 to 4.17; P = 0.004), but not with satisfaction with analgesia (beta coefficient 0.92, 95% c.i. -1.52 to 3.36; P = 0.468) compared with opioid-free analgesia. Although opioid prescribing varied greatly between high-income and low- and middle-income countries, patient-reported outcomes did not.Conclusion: Opioid analgesia prescription on surgical discharge is associated with a higher risk of re-presentation owing to side-effects of medication and increased patient-reported pain, but not with changes in patient-reported satisfaction. Opioid-free discharge analgesia should be adopted routinely

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    Airway narrowing and internal structural constraints Downloaded from

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    . Airway narrowing and internal structural constraints. J. Appl. Physiol. 88: 527-533, 2000.-A computer model has been developed to simulate the movement restriction in the lamina propria-submucosa (L-S) layer (sandwiched by the basement membrane and the muscle layer) in a cartilage-free airway due to constriction of the smooth muscle layer. It is assumed that the basement membrane is inextensible; therefore, in the two-dimensional simulation, the perimeter outlining the membrane is a constant whether the airway is constricted or dilated. The cross-sectional area of the L-S layer is also assumed to be constant during the simulated airway narrowing. Folding of the mucosal membrane in constricted airways is assumed to be a consequence of the L-S area conservation and also due to tethering between the basement membrane and the muscle layer. The number of tethers determines the number of folds. The simulation indicates that the pressure in the L-S layer resulting from movement restriction can be a major force opposing muscle contraction and that the maximum shortening of the muscle layer is inversely proportional to the number of tethers (or folds) and the L-S layer thickness. basement membrane; radial tethers; mucosal folding THE MECHANISM THAT PREVENTS noncartilaginous airways from collapsing due to airway smooth muscle (ASM) contraction is still not completely understood. It has been suggested that mechanical loading from lung parenchyma and within the airway wall may attenuate the shortening of the smooth muscle in normal subjects and that a decrease in the loads may explain the exaggerated airway narrowing observed in diseases such as asthma. ASM in vitro can shorten to Ͻ25% of its resting length under zero load (15). With this amount of shortening, ASM would certainly close all airways in the lung if there is no resisting force to counteract the force generated by the muscle (9, 11). There are at least two sources of resistive force that have been considered. One is the tethering of the ASM wall to lung parenchyma (12); the elastic parenchyma provides a radial force through the tethers of alveolar attachments and counteracts the force generated by the constricting muscle. Another possible source of resistive force is from the folding of basement membrane ANALYSIS Folding of the bronchial mucosal layer such as the one shown i

    Rho-Kinase Inhibition of Active Force and Passive Tension in Airway Smooth Muscle: A Strategy for Treating Airway Hyperresponsiveness in Asthma

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    Rho-kinase inhibitors have been identified as a class of potential drugs for treating asthma because of their ability to reduce airway inflammation and active force in airway smooth muscle (ASM). Past research has revealed that, besides the effect on the ASM’s force generation, rho-kinase (ROCK) also regulates actin filament formation and filament network architecture and integrity, thus affecting ASM’s cytoskeletal stiffness. The present review is not a comprehensive examination of the roles played by ROCK in regulating ASM function but is specifically focused on passive tension, which is partially determined by the cytoskeletal stiffness of ASM. Understanding the molecular basis for maintaining active force and passive tension in ASM by ROCK will allow us to determine the suitability of ROCK inhibitors and its downstream enzymes as a class of drugs in treating airway hyperresponsiveness seen in asthma. Because clinical trials using ROCK inhibitors in the treatment of asthma have yet to be conducted, the present review focuses on the in vitro effects of ROCK inhibitors on ASM’s mechanical properties which include active force generation, relaxation, and passive stiffness. The review provides justification for future clinical trials in the treatment of asthma using ROCK inhibitors alone and in combination with other pharmacological and mechanical interventions
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