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Specialized Procedure (specialized + procedure)
Selected AbstractsCurrent modalities and new advances in the treatment of basal cell carcinomaINTERNATIONAL JOURNAL OF DERMATOLOGY, Issue 5 2006Roger I. Ceilley MD Basal cell carcinoma (BCC) is one of the most common cancers. Surgical extirpation is currently the standard of care for BCC, which is associated with several advantages and disadvantages. Procedures such as surgical excision used to treat superficial BCC (sBCC) and nodular BCC (nBCC) may have high 5-year recurrence rates if tumors are not completely excised. Curettage with electrodesiccation is a common method for treating primary BCC. However, multiple cycles are recommended and the procedure can have unsatisfactory cosmetic results (e.g. scarring and hypopigmentation). Mohs micrographic surgery has a low rate of disease recurrence but is a specialized procedure usually limited to specific indications (e.g. high-risk tumors). Cryosurgery and photodynamic therapy require multiple cycles and are associated with variable cosmetic outcomes and recurrence rates. As with any procedure, potential risks and patient quality-of-life issues need to be considered. In addition, substantial patient and healthcare provider inconvenience limit the practical utility of some modalities. Pharmacologic interventions provide another treatment option as adjunctive or monotherapy. Investigations of imiquimod, a novel immune response modifier, have indicated that this topical, noninvasive agent is safe and well tolerated and may be efficacious in the treatment of BCC. This review will highlight the role of standard treatment modalities and introduce new advances in the treatment of BCC. [source] Analysis of von Willebrand factor structure by multimer analysis,AMERICAN JOURNAL OF HEMATOLOGY, Issue 7 2010Marlies R. Ledford-Kraemer Analysis of von Willebrand factor (VWF) structure is achieved by performing a highly specialized procedure, VWF multimer analysis. The test is reserved for the reference or specialized laboratory environment. The assay is qualitative (though under some circumstances multimers may be quantified) in that it assesses the overall size distribution of VWF multimers as well as their individual internal structure. The test is used predominantly to type or subtype von Willebrand disease. The analysis of VWF multimers generally consists of four steps: (1) electrophoresis of plasma in an agarose gel, (2) either gel fixation or transfer of the electrophoretic protein product to a membrane, (3) immunodetection of the protein, and (4) evaluation of the protein in the gel or membrane. The assay is complex, time consuming, requires specialized equipment and technical expertise, and is not standardized. Am. J. Hematol., 2010. © 2010 Wiley-Liss, Inc. [source] Evolution of pancreas transplant surgeryANZ JOURNAL OF SURGERY, Issue 6 2010Vincent W. T. Lam Abstract Background:, Type 1 diabetes mellitus is a chronic condition often leading to disabling complications including retinopathy, neuropathy and cardiovascular disease which can be modified by intensive treatment with insulin. Such treatment, however, is associated with a restrictive lifestyle and risk of hypoglycaemic morbidity and mortality. Methods:, This review examines the role of pancreas transplantation in patients with Type 1 diabetes mellitus. Results:, Pancreas transplantation is currently the only proven option to achieve long-term insulin independence, resulting in an improvement or stabilization of those diabetic related complications. The hazards of pancreas transplantation as a major operation are well known. Balancing the risks of a surgical procedure, with the benefits of restoring normoglycaemia remains an important task for the pancreas transplant surgeon. Pancreas transplantation is not an emergency operation to treat poorly managed and non-compliant patients with debilitating complications. It is a highly specialized procedure which has evolved both in terms of the surgical technique, patient selection and assessment. Conclusion:, Pancreas transplantation has emerged as the single most effective way to achieve normal glucose homeostasis in patients with Type 1 diabetes mellitus. [source] Imputation Strategies for Missing Continuous Outcomes in Cluster Randomized TrialsBIOMETRICAL JOURNAL, Issue 3 2008Monica Taljaard Abstract In cluster randomized trials, intact social units such as schools, worksites or medical practices , rather than individuals themselves , are randomly allocated to intervention and control conditions, while the outcomes of interest are then observed on individuals within each cluster. Such trials are becoming increasingly common in the fields of health promotion and health services research. Attrition is a common occurrence in randomized trials, and a standard approach for dealing with the resulting missing values is imputation. We consider imputation strategies for missing continuous outcomes, focusing on trials with a completely randomized design in which fixed cohorts from each cluster are enrolled prior to random assignment. We compare five different imputation strategies with respect to Type I and Type II error rates of the adjusted two-sample t -test for the intervention effect. Cluster mean imputation is compared with multiple imputation, using either within-cluster data or data pooled across clusters in each intervention group. In the case of pooling across clusters, we distinguish between standard multiple imputation procedures which do not account for intracluster correlation and a specialized procedure which does account for intracluster correlation but is not yet available in standard statistical software packages. A simulation study is used to evaluate the influence of cluster size, number of clusters, degree of intracluster correlation, and variability among cluster follow-up rates. We show that cluster mean imputation yields valid inferences and given its simplicity, may be an attractive option in some large community intervention trials which are subject to individual-level attrition only; however, it may yield less powerful inferences than alternative procedures which pool across clusters especially when the cluster sizes are small and cluster follow-up rates are highly variable. When pooling across clusters, the imputation procedure should generally take intracluster correlation into account to obtain valid inferences; however, as long as the intracluster correlation coefficient is small, we show that standard multiple imputation procedures may yield acceptable type I error rates; moreover, these procedures may yield more powerful inferences than a specialized procedure, especially when the number of available clusters is small. Within-cluster multiple imputation is shown to be the least powerful among the procedures considered. (© 2008 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim) [source] Statistical and methodological issues in the analysis of complex sample survey data: Practical guidance for trauma researchers,JOURNAL OF TRAUMATIC STRESS, Issue 5 2008Brady T. West Standard methods for the analysis of survey data assume that the data arise from a simple random sample of the target population. In practice, analysts of survey data sets collected from nationally representative probability samples often pay little attention to important properties of the survey data. Standard statistical software procedures do not allow analysts to take these properties of survey data into account. A failure to use more specialized procedures designed for survey data analysis can impact both simple descriptive statistics and estimation of parameters in multivariate models. In this article, the author provides trauma researchers with a practical introduction to specialized methods that have been developed for the analysis of complex sample survey data. [source] Risk indicators for hearing loss in infants treated in different Neonatal Intensive Care UnitsACTA PAEDIATRICA, Issue 3 2010P Van Dommelen Abstract Aim:, To assess which infants' characteristics and specialized procedures are risk indicators for unilateral or bilateral hearing loss (HL) and to evaluate whether these risk indicators are associated with variation in prevalence of HL between Neonatal Intensive Care Units (NICUs). Methods:, For 2002,2005, data from the NICU hearing screening database in the Netherlands were matched with the national neonatology database in which all NICU infants with their patient characteristics and specialized procedures are registered. Multivariate logistic regression analyses were performed to assess risk indicators for HL and to explain differences in prevalence rates between NICUs. Results:, A total of 10 830 infants were available for analyses. The prevalence of HL was 1.8% and ranged from 0.7 to 3.7% between NICUs. Infants' characteristics that significantly increased the risk of HL were the presence of craniofacial anomalies, chomosomal/syndromal anomalies, central nervous system conditions, circulatory system conditions and intra-uterine infections. The specialized procedures involving ,12 days of intensive care and high frequency oxygenation ventilation were independent risk indicators for HL. Approximately 20% of the variance can be explained by the studied risk indicators. Differences in prevalence rates between NICUs were slightly reduced after adjustment for these risk indicators. NICUs with the highest prevalence rates of HL were situated in the largest cities in the Netherlands with a mixed population because of immigration. Therefore, ethnicity may be a risk indicator. Conclusions:, Several independent risk indicators for HL were found, but they could not explain all differences in prevalence rates of HL between NICUs. [source] |