Diagnostic labels aim to classify individuals for treatment in clinical settings. Yet, relatively little attention has been paid to the troubling messaging when a diagnostic label itself carries severe stigma and how relevant stakeholders react to it. Based on twenty-month fieldwork in Shanghai, this article analyzes the adverse effects of the diagnostic label chidai that is used to describe dementia and the relevant stakeholders' responses to the labeling threat. It focuses on the moral context in which the stigma related to dementia unfolds, the power of the medical term chidai in activating stigma, and the efforts that are put into formulating a stigma-free public health message. I found that the label chidai is not only an instance of excess stigma-that discredits one's cognitive capability and deprives one's moral status-but also an instrument used by medical authorities and governments to protect public safety. The debates on the diagnostic labels are meant to reshape new understandings of dementia and to challenge the power of medical authorities who often neglect humanity and care when they form their judgments and interpretations of disease. This paper contributes to the studies of stigma and dementia activism by highlighting the power of diagnostic labels.
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http://dx.doi.org/10.1007/s11013-025-09903-w | DOI Listing |
PLoS One
March 2025
Department of Infectious Diseases, CHU Nantes, Nantes, France.
Aim(s): To investigate the impact of the absence of specific advice for oral fluid intake, compared to supplementation water intake on the occurrence of post-dural puncture headache.
Design: A prospective, open-label, non-inferiority, multicenter trial including hospitalized patients requiring a diagnostic lumbar puncture in seven hospitals in France.
Methods: Patients were randomly allocated (1:1) either to receive no specific advice on oral fluid intake (FREE-FLUID), or to be encouraged to drink 2 liters of water (CONTROL) within the 2 hours after lumbar puncture.
ACS Appl Mater Interfaces
March 2025
Terahertz Research Center, School of Electronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu 610054, China.
Single-bacterium diagnostic methods with unprecedented precision and rapid turnaround times are promising tools for facilitating the transition from empirical treatment to personalized anti-infection treatment. Terahertz (THz) radiation, a cutting-edge technology for identifying pathogens, enables the label-free and non-destructive detection of intermolecular vibrational modes and bacterial dielectric properties. However, this individual dielectric property-based detection and the mismatched spatial resolution are limited for the single-bacterium identification of various species of pathogens.
View Article and Find Full Text PDFPLoS One
March 2025
Centre for Proteomic Research, Biological Sciences and Institute for Life Sciences, Building 85, University of Southampton, Southampton, United Kingdom.
Oesophageal adenocarcinoma (OAC) is the 7th most common cancer in the United Kingdom (UK) and remains a significant health challenge. This study presents a proteomic analysis of seven OAC donors complementing our previous neoantigen identification study of their human leukocyte antigen (HLA) immunopeptidomes. Our small UK cohort were selected from donors undergoing treatment for OAC.
View Article and Find Full Text PDFPLoS One
March 2025
Department of Physics, Portland State University, Portland, Oregon, United States of America.
The ability of microbial active motion, morphology, and optical properties to serve as biosignatures was investigated by in situ video microscopy in a wide range of extreme field sites where such imaging had not been performed previously. These sites allowed for sampling seawater, sea ice brines, cryopeg brines, hypersaline pools and seeps, hyperalkaline springs, and glaciovolcanic cave ice. In all samples except the cryopeg brine, active motion was observed without any sample treatment.
View Article and Find Full Text PDFSurg Endosc
March 2025
Department of Gastroenterology and Hepatology, Digestive Endoscopy Medical Engineering Research Laboratory, Wuhou District, West China Hospital, Sichuan University, No. 37, Guo Xue Alley, Chengdu City, 610041, Sichuan Province, China.
Background: Endoscopic submucosal dissection (ESD) is a crucial yet challenging multi-phase procedure for treating early gastrointestinal cancers. This study developed an artificial intelligence (AI)-based automated surgical workflow recognition model for esophageal ESD and proposed an innovative training program based on esophageal ESD videos with or without AI labels to evaluate its effectiveness for trainees.
Methods: We retrospectively analyzed complete ESD videos collected from seven hospitals worldwide between 2016 and 2024.
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