Veterans Health Administration

About: Veterans Health Administration is a government organization based out in Washington D.C., District of Columbia, United States. It is known for research contribution in the topics: Population & Veterans Affairs. The organization has 63820 authors who have published 98417 publications receiving 4835425 citations. The organization is also known as: VHA.

Training and quality assurance with the structured clinical interview for DSM-IV (SCID-I/P)

Abstract: Accuracy in psychiatric diagnosis is critical for evaluating the suitability of the subjects for entry into research protocols and for establishing comparability of findings across study sites. However, training programs in the use of diagnostic instruments for research projects are not well systematized. Furthermore, little information has been published on the maintenance of interrater reliability of diagnostic assessments. At the UCLA Research Center for Major Mental Illnesses, a Training and Quality Assurance Program for SCID interviewers was used to evaluate interrater reliability and diagnostic accuracy. Although clinically experienced interviewers achieved better interrater reliability and overall diagnostic accuracy than neophyte interviewers, both groups were able to achieve and maintain high levels of interrater reliability, diagnostic accuracy, and interviewer skill. At the first quality assurance check after training, there were no significant differences between experienced and neophyte interviewers in interrater reliability or diagnostic accuracy. Standardization of training and quality assurance procedures within and across research projects may make research findings from study sites more comparable.

Toward Understanding the Insight Paradox: Internalized Stigma Moderates the Association Between Insight and Social Functioning, Hope, and Self-esteem Among People with Schizophrenia Spectrum Disorders

Abstract: Research has paradoxically linked awareness of illness to both better function outcomes and lesser hope and self-esteem. One possible explanation for these findings is that acceptance of having schizophrenia may impact outcomes differently depending on the meanings the person attaches to this acceptance, particularly whether he or she accepts stigmatizing beliefs about mental illness. To explore this possibility we performed a cluster analysis of 75 persons with schizophrenia spectrum disorders based on single measures of insight using the Positive and Negative Syndrome Scale, internalized stigma using the Internalized Stigma of Mental Illness Scale, and compared groups on concurrent assessments of hope and self-esteem. Three groups were produced by the cluster analyses: low in sight/mild stigma (n = 23), high insight/minimal stigma (n = 25), and high insight/moderate stigma (n = 27). As predicted, analysis of variance-comparing groups revealed that the high insight/moderate stigma group had significantly the lowest levels of hope on the Beck Hopelessness Scale and self-esteem using the Multidimensional Self-esteem Inventory. As predicted, the high insight/minimal stigma group also had significantly less impaired social function than the other groups. Implications for assisting persons to come to cope with awareness of illness and stigma are discussed.

Immunotherapy for advanced renal cell cancer

Abstract: Reason for withdrawal from publication This review is being updated and replaced following the publication of a new protocol (Unverzagt S, Moldenhauer I, Coppin C, Greco F, Seliger B. Immunotherapy for metastatic renal cell carcinoma [Protocol]. Cochrane Database of Systematic Reviews 2015, Issue 4. Art. No.: CD011673. DOI: 10.1002/14651858.CD011673). It will remain withdrawn when the new review is published.

The Influence of Age and Sex on Genetic Associations with Adult Body Size and Shape: A Large-Scale Genome-Wide Interaction Study

Abstract: Genome-wide association studies (GWAS) have identified more than 100 genetic variants contributing to BMI, a measure of body size, or waist-to-hip ratio (adjusted for BMI, WHRadjBMI), a measure of body shape. Body size and shape change as people grow older and these changes differ substantially between men and women. To systematically screen for age- and/or sex-specific effects of genetic variants on BMI and WHRadjBMI, we performed meta-analyses of 114 studies (up to 320,485 individuals of European descent) with genome-wide chip and/or Metabochip data by the Genetic Investigation of Anthropometric Traits (GIANT) Consortium. Each study tested the association of up to ~2.8M SNPs with BMI and WHRadjBMI in four strata (men ≤50y, men >50y, women ≤50y, women >50y) and summary statistics were combined in stratum-specific meta-analyses. We then screened for variants that showed age-specific effects (G x AGE), sex-specific effects (G x SEX) or age-specific effects that differed between men and women (G x AGE x SEX). For BMI, we identified 15 loci (11 previously established for main effects, four novel) that showed significant (FDR<5%) age-specific effects, of which 11 had larger effects in younger (<50y) than in older adults (≥50y). No sex-dependent effects were identified for BMI. For WHRadjBMI, we identified 44 loci (27 previously established for main effects, 17 novel) with sex-specific effects, of which 28 showed larger effects in women than in men, five showed larger effects in men than in women, and 11 showed opposite effects between sexes. No age-dependent effects were identified for WHRadjBMI. This is the first genome-wide interaction meta-analysis to report convincing evidence of age-dependent genetic effects on BMI. In addition, we confirm the sex-specificity of genetic effects on WHRadjBMI. These results may provide further insights into the biology that underlies weight change with age or the sexually dimorphism of body shape.