Adaptation and validation of the Spanish version of the patient-oriented prostate utility scale (PORPUS)

Objective: the Patient-Oriented Prostate Utility Scale (PORPUS) is a combined profile and utility-based quality of life measure for prostate cancer patients. Our objectives were to adapt the PORPUS into Spanish and to assess its acceptability, reliability, and validity. Methods: the PORPUS was adapted into Spanish using forward and back translations and cognitive debriefing. PORPUS was administered jointly with the SF-36 and the Expanded Prostate Index Composite (EPIC) to 480 Spanish prostate cancer patients treated with radical prostatectomy or radiotherapy. The Spanish PORPUS scores' distribution and reliability were examined and compared with the original instrument. To evaluate construct validity, relationships were assessed between PORPUS and other instruments (testing hypotheses of the original PORPUS study), and among known groups defined by side effect severity. Results: reliability coefficient was 0.76 (similar to the original PORPUS' 0.81). Spanish PORPUS items presented correlations ranging 0.57-0.88 with the corresponding EPIC domains, as in the original PORPUS study (0.60-0.83). Both PORPUS-P and PORPUS-U showed significant differences and large effect sizes (0.94-1.90) when comparing severe versus no problem groups on urinary, bowel, sexual and hormonal side effects defined by EPIC. Conclusions: a conceptually equivalent Spanish version was obtained, with high reliability and good construct validity, similar to the original Canadian PORPUS version. It can therefore be used to measure health-related quality of life and utilities in Spanish prostate cancer patients

Mortality and biochemical recurrence after surgery, brachytherapy, or external radiotherapy for localized prostate cancer: a 10-year follow-up cohort study

To compare the effectiveness at ten years of follow-up of radical prostatectomy, brachytherapy and external radiotherapy, in terms of overall survival, prostate cancer-specific mortality and biochemical recurrence. Cohort of men diagnosed with localized prostate cancer (T1/T2 and low/intermediate risk) from ten Spanish hospitals, followed for 10 years. The treatment selection was decided jointly by patients and physicians. Of 704 participants, 192 were treated with open radical retropubic prostatectomy, 317 with I-125 brachytherapy alone, and 195 with 3D external beam radiation. We evaluated overall survival, prostate cancer-specific mortality, and biochemical recurrence. Kaplan-Meier estimators were plotted, and Cox proportional-hazards regression models were constructed to estimate hazard ratios (HR), adjusted by propensity scores. Of the 704 participants, 542 patients were alive ten years after treatment, and a total of 13 patients have been lost during follow-up. After adjusting by propensity score and Gleason score, brachytherapy and external radiotherapy were not associated with decreased 10-year overall survival (aHR = 1.36, p = 0.292 and aHR = 1.44, p = 0.222), but presented higher biochemical recurrence (aHR = 1.93, p = 0.004 and aHR = 2.56, p < 0.001) than radical prostatectomy at ten years of follow-up. Higher prostate cancer-specific mortality was also observed in external radiotherapy (aHR = 9.37, p = 0.015). Novel long-term results are provided on the effectiveness of brachytherapy to control localized prostate cancer ten years after treatment, compared to radical prostatectomy and external radiotherapy, presenting high overall survival, similarly to radical prostatectomy, but higher risk of biochemical progression. These findings provide valuable information to facilitate shared clinical decision-making. Study identifier at ClinicalTrials.gov: NCT01492751

Connecting TCAD To Tapeout A Journal for Process and Device Engineers Third Generation Solar Cell Technologies:

Solar cells are experiencing a surge in activity due to concerns about sustainability of nonrenewable resources and the negative impacts of global warming due to human activity. In order to be competitive with other energy sources, developers of solar cells see an impetus to both increase efficiencies and reduce costs. Much work has recently gone into the development of the so called second generation technologies. These technologies focus on reduced production costs mainly by relying on thin film materials such as amorphous silicon and CIGS. Emerging third generation technologies are targeting improving the efficiencies of firs

Computers and Chemistry 24 (2000) 57 -- 70

A new method for the search of local repeats in long DNA sequences, such as complete genomes, is presented. It detects a large variety of repeats varying in length from one to several hundred bases, which may contain many mutations. By mutations we mean substitutions, insertions or deletions of one or more bases. The method is based on counting occurrences of short words (3 -- 12 bases) in sequence fragments called windows. A score is computed for each window, based on calculating exact word occurrence probabilities for all the words of a given length in the window. The probabilites are defined using a Bernoulli model (independent letters) for the sequence, using the actual letter frequencies from each window. A plot of the probabilities along the sequence for high-scoring windows facilitates the identification of the repeated patterns. We applied the method to the 1.87 Mb sequence of chromosome 4ofArabidopsis thaliana and to the complete genome of Bacillus subtilis (4.2 Mb). The repeats that we found were classified according to their size, number of occurrences, distance between occurrences, and location with respect to genes. The method proves particularly useful in detecting long, inexact repeats that are local, but not necessarily tandem. The method is implemented as a C program called EXCEP, which is available on request from the authors. 2000 Elsevier Science Ltd. All rights reserved

NORGES TEKNISK-NATURVITENSKAPELIGE UNIVERSITET

The objective of the study is to improve the robustness and flexibility of spatial kriging predictors with respect to deviations from spatial stationarity assumptions. A predictor based on a non-stationary Gaussian random field is defined. The model parameters are inferred in an empirical Bayesian setting, using observations in a local neighborhood and a prior model assessed from the global set of observations. The localized predictor appears with a shrinkage effect and is coined a localized/shrinkage kriging predictor. The predictor is compared to traditional localized kriging predictors in a case study on observations of annual cumulated precipitation. A crossvalidation criterion is used in the comparision. The shrinkage predictor appears as uniformly preferable to the traditional kriging predictors. A simulation study on prediction in non-stationary Gaussian random fields is conducted. The results from this study confirms that the shrinkage predictor is favorable to the traditional ones. Moreover, the crossvalidation criterion is found to be suitable for selection of predictor. Lastly, the shrinkage predictor appears as particularly robust towards spatially varying expectation functions. 1