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University of Geneva

EducationGeneva, Switzerland
About: University of Geneva is a education organization based out in Geneva, Switzerland. It is known for research contribution in the topics: Population & Galaxy. The organization has 26887 authors who have published 65265 publications receiving 2931373 citations. The organization is also known as: Geneva University & Universite de Geneve.


Papers
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Journal ArticleDOI
TL;DR: Interleukin-6 mediates crosstalk between insulin-sensitive tissues, intestinal L cells and pancreatic islets to adapt to changes in insulin demand and suggests that drugs modulating this loop may be useful in type 2 diabetes.
Abstract: Exercise, obesity and type 2 diabetes are associated with elevated plasma concentrations of interleukin-6 (IL-6). Glucagon-like peptide-1 (GLP-1) is a hormone that induces insulin secretion. Here we show that administration of IL-6 or elevated IL-6 concentrations in response to exercise stimulate GLP-1 secretion from intestinal L cells and pancreatic alpha cells, improving insulin secretion and glycemia. IL-6 increased GLP-1 production from alpha cells through increased proglucagon (which is encoded by GCG) and prohormone convertase 1/3 expression. In models of type 2 diabetes, the beneficial effects of IL-6 were maintained, and IL-6 neutralization resulted in further elevation of glycemia and reduced pancreatic GLP-1. Hence, IL-6 mediates crosstalk between insulin-sensitive tissues, intestinal L cells and pancreatic islets to adapt to changes in insulin demand. This previously unidentified endocrine loop implicates IL-6 in the regulation of insulin secretion and suggests that drugs modulating this loop may be useful in type 2 diabetes.

731 citations

Journal ArticleDOI
TL;DR: The morphology of superficial and nonprotruding neoplastic lesions is relevant to the prognosis and is an important criterion for the necessity of additional surgical resection after endoscopic resection.
Abstract: Background and Study Aims: Neoplastic lesions in the digestive-tract mucosa are termed superficial when the depth of invasion is limited to the mucosa and submucosa. The endoscopic appearance has a predictive value for invasion into the submucosa, which is critical for the risk of nodal metastases. Materials and Methods: The endoscopic morphology of superficial lesions can be assessed with a standard video endoscope after spraying of a dye - an iodine-potassium iodide solution for the stratified squamous epithelium, or an indigo carmine solution for the columnar epithelium. In 2002, a workshop was held in Paris to explore the relevance of the Japanese classification. The conclusions were revised in 2003 in Osaka in relation to the definition of the subtypes used in endoscopy and the evaluation of the depth of invasion into the submucosa. In Japan, the description of advanced cancer in the digestive-tract mucosa using types 1 -4 is supplemented by a type 0 when the endoscopic appearance is that of a superficial lesion. Type 0 is divided into three categories: protruding (0-1), nonprotruding and nonexcavated (0-11), and excavated (0-III). Type 0-II lesions are then subdivided into slightly elevated (IIa), flat (IIb), or depressed (IIc). Nonprotruding depressed lesions are associated with a higher risk of submucosal invasion. After endoscopic resection, invasion into the submucosa is an important criterion for the necessity of additional surgical resection. Micrometer analysis of the depth of invasion in the specimen is more precise, and distinct cut-off limits have been established in the esophagus, stomach, and large bowel. Conclusions: The morphology of superficial and nonprotruding neoplastic lesions is relevant to the prognosis. Following endoscopic detection, the lesions are analyzed using chromoendoscopy and assigned a subtype of the type 0 classification. The choice between endoscopicorsurgical treatment is based on this description.

730 citations

Journal ArticleDOI
TL;DR: In this paper, the predictive power of Generalized Linear Models (GLM) versus Canonical Correspondence Analysis (CCA) models of plant distribution in the Spring Mountains of Nevada, USA, are compared.
Abstract: Despite the variety of statistical methods available for static modeling of plant distribution, few studies directly compare methods on a common data set. In this paper, the predictive power of Generalized Linear Models (GLM) versus Canonical Correspondence Analysis (CCA) models of plant distribution in the Spring Mountains of Nevada, USA, are compared. Results show that GLM models give better predictions than CCA models because a species-specific subset of explanatory variables can be selected in GLM, while in CCA, all species are modeled using the same set of composite environmental variables (axes). Although both techniques can be readily ported to a Geographical Information System (GIS), CCA models are more readily implemented for many species at once. Predictions from both techniques rank the species models in the same order of quality; i.e. a species whose distribution is well modeled by GLM is also well modeled by CCA and vice-versa. In both cases, species for which model predictions have the poorest accuracy are either disturbance or fire related, or species for which too few observations were available to calibrate and evaluate the model. Each technique has its advantages and drawbacks. In general GLM will provide better species specific-models, but CCA will provide a broader overview of multiple species, diversity, and plant communities.

730 citations

Journal ArticleDOI
01 Jan 2010
TL;DR: A conceptual model including key factors that influence participation and invite patients to contribute to error prevention is proposed, and further research is essential to establish key determinants for the success of patient participation in reducing medical errors and in improving patient safety.
Abstract: Patient participation is increasingly recognized as a key component in the redesign of health care processes and is advocated as a means to improve patient safety. The concept has been successfully applied to various areas of patient care, such as decision making and the management of chronic diseases. We review the origins of patient participation, discuss the published evidence on its efficacy, and summarize the factors influencing its implementation. Patient-related factors, such as acceptance of the new patient role, lack of medical knowledge, lack of confidence, comorbidity, and various sociodemographic parameters, all affect willingness to participate in the health care process. Among health care workers, the acceptance and promotion of patient participation are influenced by other issues, including the desire to maintain control, lack of time, personal beliefs, type of illness, and training in patient-caregiver relationships. Social status, specialty, ethnic origin, and the stakes involved also influence patient and health care worker acceptance. The London Declaration, endorsed by the World Health Organization World Alliance for Patient Safety, calls for a greater role for patients to improve the safety of health care worldwide. Patient participation in hand hygiene promotion among staff to prevent health care—associated infection is discussed as an illustrative example. A conceptual model including key factors that influence participation and invite patients to contribute to error prevention is proposed. Further research is essential to establish key determinants for the success of patient participation in reducing medical errors and in improving patient safety.

727 citations


Authors

Showing all 27203 results

NameH-indexPapersCitations
JoAnn E. Manson2701819258509
Joseph L. Goldstein207556149527
Kari Stefansson206794174819
David Baltimore203876162955
Mark I. McCarthy2001028187898
Michael S. Brown185422123723
Yang Gao1682047146301
Napoleone Ferrara167494140647
Marc Weber1672716153502
Alessandro Melchiorri151674116384
Andrew D. Hamilton1511334105439
David P. Strachan143472105256
Andrew Beretvas1411985110059
Rainer Wallny1411661105387
Josh Moss139101989255
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023171
2022520
20214,280
20204,142
20193,581
20183,395