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Institution

Erasmus University Rotterdam

EducationRotterdam, Zuid-Holland, Netherlands
About: Erasmus University Rotterdam is a education organization based out in Rotterdam, Zuid-Holland, Netherlands. It is known for research contribution in the topics: Population & Health care. The organization has 35466 authors who have published 91288 publications receiving 4510972 citations. The organization is also known as: EUR.


Papers
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Journal ArticleDOI
TL;DR: This article reviews what is known about the prevalence, incidence, risk factors, and prognosis of PD from epidemiological studies and suggests that major gene mutations cause only a small proportion of all cases.
Abstract: The causes of Parkinson's disease (PD), the second most common neurodegenerative disorder, are still largely unknown. Current thinking is that major gene mutations cause only a small proportion of all cases and that in most cases, non-genetic factors play a part, probably in interaction with susceptibility genes. Numerous epidemiological studies have been done to identify such non-genetic risk factors, but most were small and methodologically limited. Larger, well-designed prospective cohort studies have only recently reached a stage at which they have enough incident patients and person-years of follow-up to investigate possible risk factors and their interactions. In this article, we review what is known about the prevalence, incidence, risk factors, and prognosis of PD from epidemiological studies.

3,474 citations

Journal ArticleDOI
TL;DR: It is suggested that reporting discrimination and calibration will always be important for a prediction model and decision-analytic measures should be reported if the predictive model is to be used for clinical decisions.
Abstract: The performance of prediction models can be assessed using a variety of methods and metrics. Traditional measures for binary and survival outcomes include the Brier score to indicate overall model performance, the concordance (or c) statistic for discriminative ability (or area under the receiver operating characteristic [ROC] curve), and goodness-of-fit statistics for calibration.Several new measures have recently been proposed that can be seen as refinements of discrimination measures, including variants of the c statistic for survival, reclassification tables, net reclassification improvement (NRI), and integrated discrimination improvement (IDI). Moreover, decision-analytic measures have been proposed, including decision curves to plot the net benefit achieved by making decisions based on model predictions.We aimed to define the role of these relatively novel approaches in the evaluation of the performance of prediction models. For illustration, we present a case study of predicting the presence of residual tumor versus benign tissue in patients with testicular cancer (n = 544 for model development, n = 273 for external validation).We suggest that reporting discrimination and calibration will always be important for a prediction model. Decision-analytic measures should be reported if the predictive model is to be used for clinical decisions. Other measures of performance may be warranted in specific applications, such as reclassification metrics to gain insight into the value of adding a novel predictor to an established model.

3,473 citations

Journal ArticleDOI
05 Aug 2010-Nature
TL;DR: The results identify several novel loci associated with plasma lipids that are also associated with CAD and provide the foundation to develop a broader biological understanding of lipoprotein metabolism and to identify new therapeutic opportunities for the prevention of CAD.
Abstract: Plasma concentrations of total cholesterol, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol and triglycerides are among the most important risk factors for coronary artery disease (CAD) and are targets for therapeutic intervention. We screened the genome for common variants associated with plasma lipids in >100,000 individuals of European ancestry. Here we report 95 significantly associated loci (P < 5 x 10(-8)), with 59 showing genome-wide significant association with lipid traits for the first time. The newly reported associations include single nucleotide polymorphisms (SNPs) near known lipid regulators (for example, CYP7A1, NPC1L1 and SCARB1) as well as in scores of loci not previously implicated in lipoprotein metabolism. The 95 loci contribute not only to normal variation in lipid traits but also to extreme lipid phenotypes and have an impact on lipid traits in three non-European populations (East Asians, South Asians and African Americans). Our results identify several novel loci associated with plasma lipids that are also associated with CAD. Finally, we validated three of the novel genes-GALNT2, PPP1R3B and TTC39B-with experiments in mouse models. Taken together, our findings provide the foundation to develop a broader biological understanding of lipoprotein metabolism and to identify new therapeutic opportunities for the prevention of CAD.

3,469 citations

Journal ArticleDOI
TL;DR: Imatinib was superior to interferon alfa plus low-dose cytarabine as first-line therapy in newly diagnosed chronic-phase CML and was better tolerated than combination therapy.
Abstract: Background Imatinib, a selective inhibitor of the BCR-ABL tyrosine kinase, produces high response rates in patients with chronic-phase chronic myeloid leukemia (CML) who have had no response to interferon alfa. We compared the efficacy of imatinib with that of interferon alfa combined with low-dose cytarabine in newly diagnosed chronic-phase CML. Methods We randomly assigned 1106 patients to receive imatinib (553 patients) or interferon alfa plus low-dose cytarabine (553 patients). Crossover to the alternative group was allowed if stringent criteria defining treatment failure or intolerance were met. Patients were evaluated for hematologic and cytogenetic responses, toxic effects, and rates of progression. Results After a median follow-up of 19 months, the estimated rate of a major cytogenetic response (0 to 35 percent of cells in metaphase positive for the Philadelphia chromosome) at 18 months was 87.1 percent (95 percent confidence interval, 84.1 to 90.0) in the imatinib group and 34.7 percent (95 perce...

3,399 citations

Journal ArticleDOI
18 Jun 1998-Nature
TL;DR: In this paper, the authors sequenced tau in FTDP-17 families and identified three missense mutations (G272V, P301L and R406W) and three mutations in the 5' splice site of exon in
Abstract: Thirteen families have been described with an autosomal dominantly inherited dementia named frontotemporal dementia and parkinsonism linked to chromosome 17 (FTDP-17)(1-9), historically termed Pick's disease(10) Most FTDP-17 cases show neuronal and/or glial inclusions that stain positively with antibodies raised against the microtubule-associated protein Tau, although the Tau pathology varies considerably in both its quantity (or severity) and characteristics(1-8,12) Previous studies have mapped the FTDP-17 locus to a 2-centimorgan region on chromosome 17q2111; the tau gene also lies within this region We have now sequenced tau in FTDP-17 families and identified three missense mutations (G272V, P301L and R406W) and three mutations in the 5' splice site of exon in The splice-site mutations all destabilize a potential stem-loop structure which is probably involved in regulating the alternative splicing of exon10 (ref 13) This causes more frequent usage of the 5' splice site and an increased proportion of tan transcripts that include exon 10 The increase in exon 10(+) messenger RNA will increase the proportion of Tau containing four microtubule-binding repeats, which is consistent with the neuropathology described in several families with FTDP-17 (refs 12, 14)

3,366 citations


Authors

Showing all 35695 results

NameH-indexPapersCitations
Walter C. Willett3342399413322
Meir J. Stampfer2771414283776
Albert Hofman2672530321405
Graham A. Colditz2611542256034
Paul M. Ridker2331242245097
Ralph B. D'Agostino2261287229636
John Q. Trojanowski2261467213948
David J. Hunter2131836207050
André G. Uitterlinden1991229156747
Robert M. Califf1961561167961
Eric J. Topol1931373151025
Frank E. Speizer193636135891
Bernard Rosner1901162147661
William B. Kannel188533175659
Patrick W. Serruys1862427173210
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202397
2022317
20216,115
20205,342
20194,754
20184,357