Recently, there has been renewed interest in Schneider's first-rank symptoms (FRS) of schizophrenia, thanks in part to a meta-analysis of their diagnostic accuracy, which deserves much credit for its methodological rigor. Conceptualising FRS as a diagnostic test whose performance can be measured in terms of sensitivity and specificity involves some issues that require reflection. First, the full adequacy of sensitivity as a measure of diagnostic accuracy for FRS might be questioned. However, it is conceptually acceptable, though FRS are at a disadvantage as compared with many other psychiatric "diagnostic tests" that should have perfect sensitivity under ideal conditions. Also, from a psychopathological perspective it may well be argued that FRS cannot be conceptualised as a simple, inexpensive diagnostic test suitable for screening purposes; however, the history of the concept reveals some reasons why it may be legitimate to view them this way. While no other relevant study has appeared after the publication of the meta-analysis, data on a further 166 patients from a study that could not be included due to incompletely reported data were located. This brought the total to 4,236 patients from 17 studies on the ability of FRS to differentiate schizophrenia from other psychoses. The resulting summary estimates of sensitivity, specificity and positive and negative likelihood ratios are 60.2%, 75.9%, 2.50, and 0.52, respectively. FRS have a kind of double nature, as they can be legitimately considered as belonging to both a sophisticated framework grounded in phenomenological psychopathology and an eminently pragmatic framework grounded in clinical epidemiology. When FRS are conceptualised as simple clinical indicators that require low levels of inference, the available estimates of their diagnostic accuracy are a fairly valid appraisal of their performance and usefulness, and suggest that FRS have some value in differential diagnosis. However, when FRS are conceptualised as profoundly anomalous experiences that can be properly identified and evaluated only by using a phenomenological approach, these estimates can hardly be seen as a valid evaluation of their diagnostic significance. Phenomenologically informed studies are needed to address this research gap.
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http://dx.doi.org/10.1159/000503152 | DOI Listing |
JMIR AI
January 2025
Department of Information Systems and Business Analytics, Iowa State University, Ames, IA, United States.
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View Article and Find Full Text PDFJMIR Med Inform
January 2025
Department of Systems Design Engineering, Faculty of Engineering, University of Waterloo, Waterloo, ON, Canada.
Background: While expert optometrists tend to rely on a deep understanding of the disease and intuitive pattern recognition, those with less experience may depend more on extensive data, comparisons, and external guidance. Understanding these variations is important for developing artificial intelligence (AI) systems that can effectively support optometrists with varying degrees of experience and minimize decision inconsistencies.
Objective: The main objective of this study is to identify and analyze the variations in diagnostic decision-making approaches between novice and expert optometrists.
J Vis Exp
January 2025
Department of Biomedical Engineering, Washington University in St. Louis; Department of Obstetrics & Gynecology, Washington University in St. Louis;
For noninvasive light-based physiological monitoring, optimal wavelengths of individual tissue components can be identified using absorption spectroscopy. However, because of the lack of sensitivity of hardware at longer wavelengths, absorption spectroscopy has typically been applied for wavelengths in the visible (VIS) and near-infrared (NIR) range from 400 to 1,000 nm. Hardware advancements in the short-wave infrared (SWIR) range have enabled investigators to explore wavelengths in the ~1,000 nm to 3,000 nm range in which fall characteristic absorption peaks for lipid, protein, and water.
View Article and Find Full Text PDFEur Radiol
January 2025
Department of Urological Surgical, JiangNan University Medical Center, Wuxi, China.
Objective: To conduct a meta-analysis assessing the diagnostic performance of the node reporting and data system (Node-RADS) for detecting lymph node (LN) invasion.
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Mikrochim Acta
January 2025
Indian Institute of Technology (BHU), Varanasi, 221005, India.
In the modern age, half of the population is facing various chronic illnesses due to glucose maintenance in the body, major causes of fatality and inefficiency. The early identification of glucose plays a crucial role in medical treatment and the food industry, particularly in diabetes diagnosis. In the past few years, non-enzymatic electrochemical glucose sensors have received a lot of interest for their ability to identify glucose levels accurately.
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