Background: Shoulder complaints arise from a single pathology or a combination of different underlying pathologies that are hard to differentiate in general practice. Subgroups of pathologies have been identified on the basis of ultrasound imaging that might affect treatment outcomes.
Objective: Our aim was to validate the existence of different subgroups of patients with shoulder complaints, based on ultrasound-detected pathology, and compare clinical features among them. Profiling shoulder patients into distinct shoulder pathology phenotypes could help designing tailored treatment trials.
Methods: This was a cross-sectional study in general practice. Data were extracted from 840 first visit patient records at a single diagnostic centre in the Netherlands. Exclusion criteria were age <18 years and previous shoulder surgery. Latent class analysis was used to uncover cross-combinations of ultrasound detected pathologies, yielding subgroups of shoulder patients. The uncovered subgroups were compared for demographic and clinical characteristics.
Results: We uncovered four distinct subgroups of patients with shoulder complaints: (i) Frozen shoulder group (11%), (ii) Limited pathology group (44%), (iii) Degenerative pathology group (31%) and (iv) Calcifying tendinopathy group (15%). Group comparisons showed significant differences in demographic and clinical characteristics among subgroups, consistent with the literature.
Conclusion: In a general practice population, we uncovered four different phenotypes of shoulder patients on the basis of ultrasound detected pathology. These phenotypes can be used designing tailored treatment trials in patients with shoulder complaints.
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http://dx.doi.org/10.1093/fampra/cmaa129 | DOI Listing |
Cancer Nurs
January 2025
Author Affiliations: Nursing Department (Drs Shi and Zhang and Mss Zhang and Xu) and General Practice Clinic (Mr Cui), The Fourth Affiliated Hospital of Harbin Medical University; and School of Nursing, Harbin Medical University (Dr Sun), Harbin, Heilongjiang, China.
Background: Colorectal cancer is a major cause of cancer-related deaths in China. Timely screening is essential for reducing mortality, but implementing comprehensive programs in Chinese healthcare settings is challenging.
Objective: This study identifies barriers and facilitators to colorectal cancer screening (CRCS) in China and recommends effective implementation strategies.
JMIR Form Res
January 2025
Institute of Social Medicine, Occupational Health and Public Health, Leipzig University, Leipzig, Germany.
Background: eHealth interventions constitute a promising approach to disease prevention, particularly because of their ability to facilitate lifestyle changes. Although a rather recent development, eHealth interventions might be able to promote brain health and reduce dementia risk in older adults.
Objective: This study aimed to explore the perspective of general practitioners (GPs) on the potentials and barriers of eHealth interventions for brain health.
Diabetes Care
February 2025
Center for the Study of Aging and Human Development, Duke University, Durham, NC.
PLoS One
January 2025
Department of Public Health Nursing, School of Nursing and Midwifery, University of Cape Coast, Cape Coast, Ghana.
Background: It is estimated that 61% of deaths caused by Cardiovascular Diseases (CVDs) globally are attributed to lifestyle-related risk factors including tobacco use, alcohol abuse, poor diet, and inadequate physical activity. Meanwhile, inadequate knowledge and misperceptions about CVDs are disproportionately increasing the prevalence of CVDs in Africa. Moreover, pre-diagnosis awareness/knowledge about CVDs among patients is essential in shaping the extent and scope of education to be provided by healthcare workers.
View Article and Find Full Text PDFPLoS One
January 2025
Faculty of Psychology, Department of Cognition, Emotion, and Methods in Psychology, University of Vienna, Vienna, Austria.
The Satisfaction With Life Scale (SWLS) is a widely used self-report measure of subjective well-being, but studies of its measurement invariance across a large number of nations remain limited. Here, we utilised the Body Image in Nature (BINS) dataset-with data collected between 2020 and 2022 -to assess measurement invariance of the SWLS across 65 nations, 40 languages, gender identities, and age groups (N = 56,968). All participants completed the SWLS under largely uniform conditions.
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