SPOD:Syntactic Profiler of Dutch

SPOD is a tool for Dutch syntax in which a given corpus is analysed according to a large number of predefined syntactic characteristics. SPOD is an extension of the PaQu (”Parse and Query”) tool (Odijk et al. 2017). SPOD is available for a number of standard Dutch corpora and treebanks.In addition, you can upload your own texts which will then be syntactically analysed. SPOD will run a potentially large number of syntactic queries in order to show a variety of corpus properties, such as the number of main and subordinate clauses, types of main and subordinate clauses, and their frequencies, average length of clauses (per clause type: e.g. relative clauses, indirect questions, finite complement clauses, infinitival clauses, finite adverbial clauses, etc.). Other syntactic constructions include comparatives, correlatives, various types of verb clusters, separable verb prefixes, depth of embedding etc.SPOD allows linguists to obtain a quick overview of the syntactic properties of texts, for instance with the goal to find interesting differences between text types, or between authors with different backgrounds or different age. In the paper, we describe the SPOD tool in some more detail, and we provide a case study, illustrating the type of investigations which are enabled andfacilitated by SPOD. Most of the syntactic properties are implemented in SPOD by means of relatively complicated XPath 2.0 queries, and as such SPOD also provides examples of relevant syntactic queries, which may otherwise be relatively hard to define for non-technical linguists

Patients with chronic gastrointestinal ischemia have a higher cardiovascular disease risk and mortality

Objectives: We determined the prevalence of classical risk factors for atherosclerosis and mortality risk in patients with CGI. Methods: A case-control study was conducted. Patients referred with suspected CGI underwent a standard work-up including risk factors for atherosclerosis, radiological imaging of abdominal vessels and tonometry. Cases were patients with confirmed atherosclerotic CGI. Controls were healthy subjects previously not known with CGI. The mortality risk was calculated as standardized mortality ratio derived from observed mortality, and was estimated with ten-year risk of death using SCORE and PREDICT. Results: Between 2006 and 2009, 195 patients were evaluated for suspected CGI. After a median follow-up of 19 months, atherosclerotic CGI was diagnosed in 68 patients. Controls consisted of 132 subjects. Female gender, diabetes, hypercholesterolemia, a personal and family history of cardiovascular disease (CVD), and current smoking are highly associated with CGI. After adjustment, female gender (OR 2.14 95% CI 1.05-4.36), diabetes (OR 5.59, 95% CI 1.95-16.01), current smoking (OR 5.78, 95% CI 2.27-14.72), and history of CVD (OR 21.61, 95% CI 8.40-55.55) remained significant. CGI patients >55 years had a higher median ten-year risk of death (15% vs. 5%, P = 0.001) compared to controls. During follow-up of 116 person-years, standardized mortality rate was higher in CGI patients (3.55; 95% CI 1.70-6.52). Conclusions: Patients with atherosclerotic CGI have an increased estimated CVD risk, and severe excess mortality. S