Definitions and outcome measures for mucous membrane pemphigoid: recommendations of an international panel of experts

Mucous membrane pemphigoid encompasses a group of autoimmune bullous diseases with a similar phenotype characterized by subepithelial blisters, erosions, and scarring of mucous membranes, skin, or both. Although knowledge about autoimmune bullous disease is increasing, there is often a lack of clear definitions of disease, outcome measures, and therapeutic end points. With clearer definitions and outcome measures, it is possible to directly compare the results and data from various studies using meta-analyses. This consensus statement provides accurate and reproducible definitions for disease extent, activity, outcome measures, end points, and therapeutic response for mucous membrane pemphigoid and proposes a disease extent score, the Mucous Membrane Pemphigoid Disease Area Index.

Actions of the International Union of Soil Science towards a global agenda for the sustainable use of soils

In a multi-level stakeholder approach the international level is of primordial importance not only in terms of legal frameworks, but also in terms of scientific analysis of the needs, options and constraints, as well as related to monitoring and evaluation systems. The Working Group on 'International Actions for the Sustainable Use of Soils' (IASUS) of the International Union of Soil Science (IUSS) identified a number of issues and measures in preparation of the 17thWorld Congress of Soil Science held in Bangkok, Thailand, in August 2002, and prepared a resolution in support of a 'global agenda for the sustainable use of soils', which was adopted on 21st August 2002 on the closing day of the congress.

When Does Neoadjuvant Chemotherapy Really Avoid Radiotherapy? Clinical Predictors of Adjuvant Radiotherapy in Cervical Cancer.

BACKGROUND The aim of this study was to identify clinical variables that may predict the need for adjuvant radiotherapy after neoadjuvant chemotherapy (NACT) and radical surgery in locally advanced cervical cancer patients. METHODS A retrospective series of cervical cancer patients with International Federation of Gynecology and Obstetrics (FIGO) stages IB2-IIB treated with NACT followed by radical surgery was analyzed. Clinical predictors of persistence of intermediate- and/or high-risk factors at final pathological analysis were investigated. Statistical analysis was performed using univariate and multivariate analysis and using a model based on artificial intelligence known as artificial neuronal network (ANN) analysis. RESULTS Overall, 101 patients were available for the analyses. Fifty-two (51 %) patients were considered at high risk secondary to parametrial, resection margin and/or lymph node involvement. When disease was confined to the cervix, four (4 %) patients were considered at intermediate risk. At univariate analysis, FIGO grade 3, stage IIB disease at diagnosis and the presence of enlarged nodes before NACT predicted the presence of intermediate- and/or high-risk factors at final pathological analysis. At multivariate analysis, only FIGO grade 3 and tumor diameter maintained statistical significance. The specificity of ANN models in evaluating predictive variables was slightly superior to conventional multivariable models. CONCLUSIONS FIGO grade, stage, tumor diameter, and histology are associated with persistence of pathological intermediate- and/or high-risk factors after NACT and radical surgery. This information is useful in counseling patients at the time of treatment planning with regard to the probability of being subjected to pelvic radiotherapy after completion of the initially planned treatment.

International Regulation of Emerging Technologies: Global Ideologies and Local Headaches

This paper begins to address the international regulation of emerging technologies taking an approach that includes the co-production of technologies and the nature of wicked problems. Both the development of technologies over time, the role of science in regulation, and results from case studies in the regulation of biotechnologies are discusses. Biotechnology, nanotechnology and synthetic biology receive the most attention.

[HbA1c revisited (again and again ...)]

The "International Federation of Clinical Chemistry" (IFCC) has developed a new international reference measurement system as anchor for worldwide standardization of HbA1c determinations. The use of IFCC-referenced methods results in "true" HbA1c-values that are 1 - 2% lower compared to traditional methods. This leads to potential risks of clinical misjudgement. For the evaluation of glycaemic control it is, therefore, important to know the method used, its normal range as well as possibilities of mathematical conversion of results. To reduce the risk of wrong interpretation of results the Swiss Society of Endocrinology and Diabetes recommends that reports of HbA1c clearly indicate whether the values are "IFCC-" or "DCCT-traceable". "IFCC"-results should best be reported in mmol/mol. In addition, the normal range has to be indicated properly.

Sparse computation for large-scale binary classification

Well-known data mining algorithms rely on inputs in the form of pairwise similarities between objects. For large datasets it is computationally impossible to perform all pairwise comparisons. We therefore propose a novel approach that uses approximate Principal Component Analysis to efficiently identify groups of similar objects. The effectiveness of the approach is demonstrated in the context of binary classification using the supervised normalized cut as a classifier. For large datasets from the UCI repository, the approach significantly improves run times with minimal loss in accuracy.