The present study had the aim of evaluating conventional serum tests that are used in neonatal screening for Chagas disease, with a discussion on the statistical methods available. A random sample among 23,308 newborns who were screened for congenital Chagas disease was studied using the following three tests: enzyme immunoassay, indirect immunofluorescence and indirect hemagglutination. The data were analyzed by different statistical methodologies: latent class analysis, Kappa test and relative sensitivity analysis. Using latent class analysis, enzyme immunoassay had the highest sensitivity (48.6%), followed by indirect immunofluorescence (39.8%) and indirect hemagglutination (23.2%). The kappa value was 0.496. The ratio between the sensitivities of enzyme immunoassays and indirect immunofluorescence tests was 92% [0.74;1.13]. Latent class analysis was not found to be adequate for sensitivity and specificity determination, but it provided important data about the equivalence of the tests, corroborated by relative sensitivity analysis. The results showed that enzyme immunoassaying of dry blood samples can be used as safely as the indirect immunofluorescence test.
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http://dx.doi.org/10.1590/s0037-86822008000600012 | DOI Listing |
Stat Med
February 2025
Department of Biostatistics and Beijing International Center for Mathematical Research, Peking University, Beijing, China.
The ideal evaluation of diagnostic test performance requires a reference test that is free of errors. However, for many diseases, obtaining such a "gold standard" reference is either impossible or prohibitively expensive. Estimating test accuracy in the absence of a gold standard is therefore a significant challenge.
View Article and Find Full Text PDFJ Imaging
January 2025
Istituto di Scienze Applicate e Sistemi Intelligenti (ISASI), Consiglio Nazionale delle Ricerche (CNR), DHITECH, Campus Università del Salento, Via Monteroni s.n., 73100 Lecce, Italy.
Despite significant advancements in the automatic classification of skin lesions using artificial intelligence (AI) algorithms, skepticism among physicians persists. This reluctance is primarily due to the lack of transparency and explainability inherent in these models, which hinders their widespread acceptance in clinical settings. The primary objective of this study is to develop a highly accurate AI-based algorithm for skin lesion classification that also provides visual explanations to foster trust and confidence in these novel diagnostic tools.
View Article and Find Full Text PDFEmerg Microbes Infect
January 2025
Key Laboratory of Jiangxi Province for Transfusion Medicine, Department of Blood Transfusion, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi 330006, China.
The tRNA-derived small RNAs (tsRNAs) are a new class of non coding RNAs, which are stable in body fluids and can be used as potential biomarkers for disease diagnosis. However, the exact value of tsRNAs in the diagnosis of tuberculosis (TB) is still unclear. The objective of the present study was to evaluate the performance of the serum tsRNAs biosignature to distinguish between active TB, healthy controls, latent TB infection, and other respiratory diseases.
View Article and Find Full Text PDFInt J Neural Syst
January 2025
Alibaba Cloud, Hangzhou, P. R. China.
Multi-label zero-shot learning (ML-ZSL) strives to recognize all objects in an image, regardless of whether they are present in the training data. Recent methods incorporate an attention mechanism to locate labels in the image and generate class-specific semantic information. However, the attention mechanism built on visual features treats label embeddings equally in the prediction score, leading to severe semantic ambiguity.
View Article and Find Full Text PDFSoc Sci Med
December 2024
Thomas Jefferson University College of Population Health, 130 S. 9th Street, Suite 100. Philadelphia, PA, 19107, USA.
In this paper, we apply a measurement science perspective to explore both the epidemiologic and psychometric frameworks for the conceptualization, operationalization and assessment of self-reported adverse childhood experiences (srACEs). The epidemiologic paradigm suggests that srACEs are 'exposures', while the psychometric paradigm views responses on srACEs instrumentation as 'indicators'. It is the central premise of this paper that srACEs cannot be both exposures and indicators of scales.
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