32 research outputs found

    Statistical analysis of arthroplasty data: I. Introduction and background

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    It is envisaged that guidelines for statistical analysis and presentation of results will improve the quality and value of research. The Nordic Arthroplasty Register Association (NARA) has therefore developed guidelines for the statistical analysis of arthroplasty register data. The guidelines are divided into two parts, this one with an introduction and a discussion of the background to the guidelines, and the second one with a more technical statistical discussion on how specific problems can be handled (Ranstam et al. 2011b, see pages x-y in this issue). This first part contains an overview of implant survival analysis and statistical methods used to evaluate factors with a potential influence on this outcome

    The power of perturbation theory

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    We study quantum mechanical systems with a discrete spectrum. We show that the asymptotic series associated to certain paths of steepest-descent (Lefschetz thimbles) are Borel resummable to the full result. Using a geometrical approach based on the PicardLefschetz theory we characterize the conditions under which perturbative expansions lead to exact results. Even when such conditions are not met, we explain how to define a different perturbative expansion that reproduces the full answer without the need of transseries, i.e. non-perturbative effects, such as real (or complex) instantons. Applications to several quantum mechanical systems are presented

    Symptoms as well as tumor size provide prognostic information on patients with localized renal tumors.

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    PURPOSE: T stage stratification of organ confined renal tumors is based only on tumor size. Currently T1a and T1b are defined as tumors less or greater than 4 cm. However, to our knowledge the validity of this stratification has not been determined. We determined whether symptoms could add additional prognostic information when integrated with tumor size into the TNM classification. MATERIALS AND METHODS: Patients with T1-T2N0M0 renal tumors at 6 academic centers in Europe and the United States were included in this study. T stage was defined according to the 2002 TNM classification. Age, gender, T stage, tumor size, symptoms at presentation, Fuhrman grade and cancer specific survival were determined in all cases. Survival estimates were compared using the Kaplan-Meier method and multivariate analysis of the data were performed with the Cox model. RESULTS: A total of 1,771 patients with pT1-T2N0M0 renal tumors were included in this study. There were 1,148 males and 623 females. Mean age was 59.6 years. Median tumor size was 5 cm. Of the tumors 781 (44.1%), 616 (34.8%) and 374 (21.1%) were stages T1a, T1b and T2, respectively. In 825 patients (46.6%) symptoms were related to renal cancer. T stage and symptoms strongly correlated, in that 67%, 51% and 29% of patients with T1a, T1b and T2 tumors, respectively, were asymptomatic. Symptoms increased the risk of cause specific death for each T stage level. On multivariate analysis Fuhrman grade (HR 1.46), T stage (HR 1.81) and symptoms (HR 2.98) were independent predictors of survival. Based on these results 4 groups resulting from combinations of 2002 TNM stage and symptoms with significantly different risks of death were defined, namely 1) T1a-4 cm or less without symptoms, 2) T1b-4 cm or less with symptoms and greater than 4 cm without symptoms, 3) T2a-greater than 4 cm and 7 cm or less with symptoms, and 4) T2b-greater than 7 cm with symptoms CONCLUSIONS: In this study we noted that a system combining tumor size and symptoms can accurately stratify patients for predicting survival in those with organ confined renal tumors. Our data support the idea that symptoms should be integrated in further modifications of the TNM system
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