Analysis of survival predictors in a prospective cohort of patients undergoing transarterial chemoembolization for hepatocellular carcinoma in a single Canadian centre

AbstractBackgroundDespite advances in the treatment of hepatocellular carcinoma (HCC), a great proportion of patients are eligible only for palliative therapy for reasons of advanced-stage disease or poor hepatic reserve. The use of transarterial chemoembolization (TACE) in the palliation of non-resectable HCC has shown a survival benefit in European and Asian populations. The aim of this study was to assess the efficacy of TACE by analysing overall 5-year survival, interval changes of tumour size and serum alpha-fetoprotein (AFP) levels in a prospective North American cohort.MethodsFrom September 2005 to December 2010, 46 candidates for TACE were enrolled in the study. Collectively, they underwent 102 TACE treatments. Data on tumour response, serum AFP and survival were prospectively collected.ResultsIn compensated cirrhotic patients, serial treatment with TACE had a stabilizing effect on tumour size and reduced serum AFP levels during the first 12 months. Overall survival rates at 1, 2 and 3 years were 69%, 58% and 20%, respectively. Younger individuals and patients with a lower body mass index, affected by early-stage HCC with involvement of a single lobe, had better survival in univariate analysis. After adjustment for risk factors, early tumour stage (T1 and T2 vs. T3 and T4) at diagnosis was the only statistically significant predictor for survival.ConclusionsIn compensated cirrhotic patients, TACE is an effective palliative intervention and HCC stage at diagnosis seems to be the most important predictor of longterm outcomes

Survey of information technology in Intensive Care Units in Ontario, Canada

<p>Abstract</p> <p>Background</p> <p>The Intensive Care Unit (ICU) is a data-rich environment where information technology (IT) may enhance patient care. We surveyed ICUs in the province of Ontario, Canada, to determine the availability, implementation and variability of information systems.</p> <p>Methods</p> <p>A self-administered internet-based survey was completed by ICU directors between May and October 2006. We measured the spectrum of ICU clinical data accessible electronically, the availability of decision support tools, the availability of electronic imaging systems for radiology, the use of electronic order entry and medication administration systems, and the availability of hardware and wireless or mobile systems. We used Fisher's Exact tests to compare IT availability and Classification and Regression Trees (CART) to estimate the optimal cut-point for the number of computers per ICU bed.</p> <p>Results</p> <p>We obtained responses from 50 hospitals (68.5% of institutions with level 3 ICUs), of which 21 (42%) were university-affiliated. The majority electronically accessed laboratory data and imaging reports (92%) and used picture archiving and communication systems (PACS) (76%). Other computing functions were less prevalent (medication administration records 46%, physician or nursing notes 26%; medication order entry 22%). No association was noted between IT availability and ICU size or university affiliation. Sites used clinical information systems from15 different vendors and 8 different PACS systems were in use. Half of the respondents described the number of computers available as insufficient. Wireless networks and mobile computing systems were used in 23 ICUs (46%).</p> <p>Conclusion</p> <p>Ontario ICUs demontrate a high prevalence of the use of basic information technology systems. However, implementation of the more complex and potentially more beneficial applications is low. The wide variation in vendors utilized may impair information exchange, interoperability and uniform data collection.</p

The Use of Baseline Measurements in 2

this paper is to investigate the effect of including baseline measures, as opposed to analysis without baseline, in the 2 \Theta 2 cross-over design. This will be done via the two approaches proposed by Kenward and Jones and mentioned above; the results will be presented and compared. 2 A Standard 2-sequence, 2-treatment Tria

Statistical Evaluation of a Fully Automated Mammographic Breast Density Algorithm

Visual assessments of mammographic breast density by radiologists are used in clinical practice; however, these assessments have shown weaker associations with breast cancer risk than area-based, quantitative methods. The purpose of this study is to present a statistical evaluation of a fully automated, area-based mammographic density measurement algorithm. Five radiologists estimated density in 5% increments for 138 “For Presentation” single MLO views; the median of the radiologists’ estimates was used as the reference standard. Agreement amongst radiologists was excellent, ICC = 0.884, 95% CI (0.854, 0.910). Similarly, the agreement between the algorithm and the reference standard was excellent, ICC = 0.862, falling within the 95% CI of the radiologists’ estimates. The Bland-Altman plot showed that the reference standard was slightly positively biased (+1.86%) compared to the algorithm-generated densities. A scatter plot showed that the algorithm moderately overestimated low densities and underestimated high densities. A box plot showed that 95% of the algorithm-generated assessments fell within one BI-RADS category of the reference standard. This study demonstrates the effective use of several statistical techniques that collectively produce a comprehensive evaluation of the algorithm and its potential to provide mammographic density measures that can be used to inform clinical practice