Objectives: To synthesize evidence and report findings from a systematic search and descriptive analysis of peer-reviewed published evidence of the accuracy of tests used for diagnosing mild traumatic brain injury (mTBI). The article also summarizes points of concurrence and divergence regarding case definitions of mTBI identified during the review. TYPE: Systematic review and descriptive analysis of published evidence.
Literature Survey: A search of PubMed, PsychInfo, and the Cochrane Library for peer-reviewed publications between 1990 and July 6, 2011, identified 1218 abstracts; 277 articles were identified for full review, and 13 articles met the criteria for evaluation.
Methodology: Manuscript inclusion criteria were (1) reported sensitivity (Se) and specificity (Sp), or reported data were sufficient to compute Se and Sp; (2) >1 participant in the study; (3) at least 80% of the study cohort was ≥18 years of age; and (4) written in English. Articles describing clinical practice guidelines, opinions, theories, or clinical protocols were excluded. Seven investigators independently evaluated each article according to the Standards for Reporting of Diagnostic Accuracy (STARD) criteria.
Synthesis: Findings indicate that all 13 studies involved civilian noncombat populations. In 7 studies, authors examined acute mTBI, and in 4 studies, historical remote mTBI was examined. In the 13 studies, Se ranged from 13%-92% and Sp ranged from 72%-99%, but confidence in these findings is problematic because the STARD review indicates opportunities for bias in each study.
Conclusions: Findings indicate that no well-defined definition or clinical diagnostic criteria exist for mTBI and that diagnostic accuracy is currently insufficient for discriminating between mTBI and co-occurring mental health conditions for acute and historic mTBI. Findings highlight the need for research examining the diagnostic accuracy for acute and historic mTBI.
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http://dx.doi.org/10.1016/j.pmrj.2013.06.007 | DOI Listing |
Int J Med Inform
January 2025
Department of Computer Science and Artificial Intelligence, University of Udine, 33100, Italy.
Background: Segmentation models for clinical data experience severe performance degradation when trained on a single client from one domain and distributed to other clients from different domain. Federated Learning (FL) provides a solution by enabling multi-party collaborative learning without compromising the confidentiality of clients' private data.
Methods: In this paper, we propose a cross-domain FL method for Weakly Supervised Semantic Segmentation (FL-W3S) of white blood cells in microscopic images.
Medicine (Baltimore)
January 2025
Department of Clinical Laboratory, Zhejiang Hospital, Hangzhou, Zhejiang, China.
To evaluate the accuracy of home self-monitoring portable blood glucose meters, we analyzed the current problems of patients using portable blood glucose meters and put forward reasonable suggestions. A self-designed questionnaire was used to survey 142 patients and 132 healthcare professionals. The questionnaire consisted of 16 items with an overall score ranging from 1 to 13 (with a higher score indicating better experience).
View Article and Find Full Text PDFMedicine (Baltimore)
January 2025
Department of Urology, Shiyan People's Hospital, Jinzhou Medical University Training Base, Shiyan, China.
The aim of this study was to evaluate the clinical benefits and outcomes of adjuvant radiation therapy on adrenocortical carcinoma (ACC) patients. All patients with ACC that were reported between 2010 and 2015 were identified from the Surveillance, Epidemiology, and End Results database. A forward-stepwise Cox proportional hazards regression was used to identify independent risk factors.
View Article and Find Full Text PDFMedicine (Baltimore)
January 2025
Emergency Department, Baoding No. 1 Central Hospital, Lianchi District, Baoding City, China.
Background: The performance of quantitative pupillary light reflex (qPLR) and the neurological pupil index (NPi) was used to predict neurological outcomes in cardiac arrest (CA) patients.
Methods: Eligible studies on the ability of the qPLR and NPi to predict neurological outcomes in CA patients were searched from the PubMed and China National Knowledge Infrastructure databases until July 2023. The pooled odds ratio (OR) and its 95% confidence interval (95% CI), area under the curve, sensitivity analysis, and publication bias were analyzed via Stata 14.
Endocr Connect
January 2025
Y Liu, Department of Clinical Laboratory, Hangzhou Women's Hospital, Hangzhou, 310008, China.
Background: The aim is to develop age-specific anti-Müllerian hormone screening criteria for polycystic ovary syndrome to facilitate the early detection and diagnosis of the condition, and to subsequently evaluate the screening criteria.
Methods: A retrospective analysis was performed on patient data from Hangzhou Women's Hospital between July 2021 and August 2024. The use of restricted cubic spline analysis helped identify age-related inflection points, which were crucial for segmenting the patient population.
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