Study Design: Cross-sectional analysis.
Objective: This study aimed to evaluate the quality and accuracy of the content surrounding cervical radiculopathy available on the internet.
Summary Of Background Data: Those experiencing cervical radiculopathy and their families are increasingly browsing the worldwide web for medical information. As the information offered is likely to influence their health care choices, spine care providers must understand the quality and accuracy of that information.
Methods: Independent searches were conducted on the three most commonly accessed search engines (Google, Yahoo, and Bing) using the keyword "cervical radiculopathy." The searches were performed on June 28th, 2019. The top 50 sites from each search engines were reviewed. The websites were evaluated using quality, accuracy and usability markers.
Results: Seventy-seven unique websites were analyzed; 54.5% were physician or medical group professional sites, 20.8% as non-physician, 10.4% as unidentified, 7.8% as academics, and 6.5% were commercial. Accuracy ranged from <25% to >75% were recorded with a mean accuracy of 3.5 signifying 50% to 75% agreement. Overall, website categories had a significant effect on Journal of American Medical Association (JAMA) score, content quality, accuracy, total summary scores, distraction index, reading ease, and grade level (P < 0.05). Academic sites had the highest mean quality content, accuracy and total summary scores. Four of the top five websites with the highest total summary scores were physician driven. On average, Health on the Net code (HONcode) certified websites had lower grade level readability with greater reading ease and higher DISCERN and JAMA scores than uncertified sites (P < 0.05).
Conclusion: Despite the wide number of sources available, the quality, accuracy, pertinence, and intelligibility of the information remains highly variable. Clinicians treating patients with cervical radiculopathy should direct them to verifiable sites with regulated information and, where possible, contribute high- quality information to those sites.Level of Evidence: 4.
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http://dx.doi.org/10.1097/BRS.0000000000004146 | DOI Listing |
Eur J Radiol
January 2025
Third Hospital of Shanxi Medical University, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Taiyuan, 030032, China; Department of Pulmonary and Critical Care Medicine, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Third Hospital of Shanxi Medical University, Tongji Shanxi Hospital, Taiyuan, 030032, China; Department of Pulmonary and Critical Care Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China. Electronic address:
Purpose: This head-to-head comparative meta-analysis aimed to evaluate the comparative diagnostic efficacy of [F]FDG PET/CT and dynamic contrast-enhanced CT(DCE-CT) for the differentiation between malignant and benign pulmonary nodules.
Methods: An extensive search was conducted in the PubMed, Embase, and Web of Science to identify available publications up to March 23, 2024. Studies were included if they evaluated the diagnostic efficacy of [F]FDG PET/CT and DCE-CT for the characterization of pulmonary nodules.
J Breath Res
January 2025
School of Medicine and Pharmacy, Ocean University of China, 5 Yushan Rd, Qingdao, Shandong, 266003, CHINA.
Lung cancer is one of the most common malignancy in the world, and early detection of lung cancer remains a challenge. The exhaled breath condensate (EBC) from lung and trachea can be collected totally noninvasively. In this study, our aim is to identify differential metabolites between non-small cell lung cancer (NSCLC) and control EBC samples and discriminate NSCLC group from control group by orthogonal projections to latent structures-discriminant analysis (OPLS-DA) models.
View Article and Find Full Text PDFPLoS One
January 2025
College of Engineering, South China Agricultural University, Guangzhou, China.
In order to address many issues, such as the inconsistent and unreliable seeding process in traditional mechanical garlic seed metering systems (SMS), as well as the lack of ability to monitor the effectiveness of the seeding, a highly accurate electric-driven metering system (EDMS) was developed and created specifically for garlic seed planters. This study provided a description of the overall structure and functioning principle, as well as an analysis of the mechanism for smooth transit and delivery. A combination of an infrared (IR) sensor, Arduino Mega board, stepper motor, speed sensor, and a Wi-Fi module was employed to operate the EDMS, as well as monitor and count the quantity of garlic seeds during the planting process and determine the qualified rate (QR) and missing rate (MR).
View Article and Find Full Text PDFPLoS One
January 2025
Department of Electrical Engineering, Shiraz Branch, Islamic Azad University, Shiraz, Iran.
CNN is considered an efficient tool in brain image segmentation. However, neonatal brain images require specific methods due to their nature and structural differences from adult brain images. Hence, it is necessary to determine the optimal structure and parameters for these models to achieve the desired results.
View Article and Find Full Text PDFJ Speech Lang Hear Res
January 2025
Department of Otolaryngology-Head and Neck Surgery, New York University Grossman School of Medicine, NY.
Purpose: Most auditory-perceptual voice research utilizes the judgments of trained listeners rather than everyday listeners with no previous training in speech pathology. Online crowdsourcing of behavioral data from untrained participants is rapidly increasing in popularity but has yet to be a common procedure for auditory-perceptual studies of the voice. The objective of this pilot study was to assess the functionality of this model for judgments of voice by using an online experiment platform to replicate a lab-based, voice-specific age estimation study.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!