Introduction: Evidence based practice relies on availability of research evidence mostly through peer-reviewed journal publications. No consensus currently exists on the best hierarchy of research evidence, often categorised by the adopted research designs. Analysing the prevalent research designs in radiography professional journals is one vital step in considering an evidence hierarchy specific to the radiography profession and this forms the aim of this study.
Methods: Bibliometric data of publications in three Radiography professional journals within a 10-year period were extracted. The Digital Object Identifier were used to locate papers on publishers' websites and obtain relevant data for analysis. Descriptive analysis using frequencies and percentages were used to represent data while Chi-square was used to analyse relationship between categorical variables.
Results: 1830 articles met the pre-set inclusion criteria. Quantitative descriptive studies were the most published design (26.6%) followed by non-RCT experimental studies (18.7%), while Randomised Controlled Trials (RCT) were the least published (1.0%). Systematic reviews (42.9%) showed the highest average percentage increase within the 10-year period, however RCTs showed no net increase. Single-centre studies predominated among experimental studies (RCT = 88.9%; Non-RCT = 95%). Author collaboration across all study designs was notable, with RCTs showing the most (100%). Quantitative and qualitative studies comparatively had similar number of citations when publication numbers were matched. Quantitative descriptive studies had the highest cumulative citations while RCTs had the least.
Conclusion: There is a case to advocate for more study designs towards the peak of evidence hierarchies such as systematic reviews and RCT. Radiography research should be primarily designed to answer pertinent questions and improve the validity of the profession's evidence base.
Implication For Practice: The evidence presented can encourage the adoption of the research designs that enhances radiography profession's evidence base.
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http://dx.doi.org/10.1016/j.radi.2024.06.005 | DOI Listing |
J Osteopath Med
January 2025
Arizona College of Osteopathic Medicine, Midwestern University, Glendale, AZ, USA.
Context: Point-of-care ultrasound (POCUS) has diverse applications across various clinical specialties, serving as an adjunct to clinical findings and as a tool for increasing the quality of patient care. Owing to its multifunctionality, a growing number of medical schools are increasingly incorporating POCUS training into their curriculum, some offering hands-on training during the first 2 years of didactics and others utilizing a longitudinal exposure model integrated into all 4 years of medical school education. Midwestern University Arizona College of Osteopathic Medicine (MWU-AZCOM) adopted a 4-year longitudinal approach to include POCUS education in 2017.
View Article and Find Full Text PDFBMC Oral Health
January 2025
Oral and Dental Disease Research Center, School of Dentistry, Shiraz University of Medical Sciences, Shiraz, Iran.
Background: Molariform second premolar is a rare dental anomaly where the second premolar resembles a molar in size and shape. This condition is often linked to macrodontia, a rare enlargement of teeth that disrupts dental proportions and can manifest in isolated, relative, or generalized forms. Although mandibular second premolars are more prone to morphological variability, the occurrence of bilateral molariform premolars, induced by a unique form of gemination, is exceptionally uncommon and infrequently documented, thus making this case clinically significant.
View Article and Find Full Text PDFSci Rep
January 2025
The University of New South Wales, Sydney, Australia.
Detection and teeth segmentation from X-rays, aiding healthcare professionals in accurately determining the shape and growth trends of teeth. However, small dataset sizes due to patient privacy, high noise, and blurred boundaries between periodontal tissue and teeth pose challenges to the models' transportability and generalizability, making them prone to overfitting. To address these issues, we propose a novel model, named Grouped Attention and Cross-Layer Fusion Network (GCNet).
View Article and Find Full Text PDFSci Rep
January 2025
Faculty of Science and Technology, Charles Darwin University, Casuarina, NT, 0909, Australia.
This study presents a novel privacy-preserving self-supervised (SSL) framework for COVID-19 classification from lung CT scans, utilizing federated learning (FL) enhanced with Paillier homomorphic encryption (PHE) to prevent third-party attacks during training. The FL-SSL based framework employs two publicly available lung CT scan datasets which are considered as labeled and an unlabeled dataset. The unlabeled dataset is split into three subsets which are assumed to be collected from three hospitals.
View Article and Find Full Text PDFRev Cardiovasc Med
December 2024
American University of the Caribbean School of Medicine, Cupecoy, Sint Maarten.
Atrial fibrillation (AF), the most prevalent sustained cardiac arrhythmia, is intricately linked with atrial functional tricuspid regurgitation (AFTR), a condition distinguished from ventricular functional tricuspid regurgitation by its unique pathophysiological mechanisms and clinical implications. This review article delves into the multifaceted aspects of AFTR, exploring its epidemiology, pathophysiology, diagnostic evaluation, and management strategies. Further, we elucidate the mechanisms underlying AFTR, including tricuspid annular dilatation, right atrial enlargement, and dysfunction, which collectively contribute to the development of tricuspid regurgitation in the absence of significant pulmonary hypertension or left-sided heart disease.
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