Objective: The study describes and analyses the influence of a comprehensive intervention on premature discharges (i.e. the military training cannot be completed).
Participants: 862 male soldiers from three military units were included.
Methods: The intervention included a screening protocol with a questionnaire and physical tests for musculoskeletal complaints or injuries and functional limitations and, where needed, treatment, early rehabilitation and individually-adjusted physical training. The intervention also included organisation-based training in ergonomics and exercise physiology for officers plus enhanced teamwork between officers and physiotherapist. Not all the soldiers underwent the intervention as planned.
Results: The discharge rate was lower in all three units after either of the intervention programmes comparing premature discharge figures with before-implementation study figures. However, significantly fewer soldiers were discharged from the group who underwent the intervention as planned 6.1% compared to the group with the less intensive intervention, 13.1% (p=0.002).
Conclusions: The results indicate that the comprehensive intervention programme can reduce the number of premature discharges from the Swedish Armed Forces. The differences between the groups indicate that the effectiveness was greater when the intervention was fully implemented with regard to intensity.
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http://dx.doi.org/10.3233/WOR-2012-1347 | DOI Listing |
Ann Intern Med
January 2025
Clinical Epidemiology and Research Center (CERC), Department of Biomedical Sciences, Humanitas University, and IRCCS Humanitas Research Hospital, Milan, Italy, and Fraunhofer Institute for Translational Medicine and Pharmacology ITMP, Allergology and Immunology, Berlin, Germany (H.J.S.).
Description: Artificial intelligence (AI) has been defined by the High-Level Expert Group on AI of the European Commission as "systems that display intelligent behaviour by analysing their environment and taking actions-with some degree of autonomy-to achieve specific goals." Artificial intelligence has the potential to support guideline planning, development and adaptation, reporting, implementation, impact evaluation, certification, and appraisal of recommendations, which we will refer to as "guideline enterprise." Considering this potential, as well as the lack of guidance for the use of AI in guidelines, the Guidelines International Network (GIN) proposes a set of principles for the development and use of AI tools or processes to support the health guideline enterprise.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
Department of Health Policy and Management, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, United States.
Background: Uncertainty in the diagnosis of lung nodules is a challenge for both patients and physicians. Artificial intelligence (AI) systems are increasingly being integrated into medical imaging to assist diagnostic procedures. However, the accuracy of AI systems in identifying and measuring lung nodules on chest computed tomography (CT) scans remains unclear, which requires further evaluation.
View Article and Find Full Text PDFPurpose: Outcomes for patients with advanced sarcomas are poor and there is a high unmet need to develop novel therapies. The purpose of this phase I study was to define the safety and efficacy of botensilimab (BOT), an Fc-enhanced anti-cytotoxic lymphocyte-association protein-4 antibody, plus balstilimab (BAL), an anti-PD-1 antibody, in advanced sarcomas.
Methods: BOT was administered intravenously (IV) at 1 mg/kg or 2 mg/kg once every 6 weeks in combination with BAL IV at 3 mg/kg once every 2 weeks for up to 2 years.
Proc Natl Acad Sci U S A
February 2025
Meta-Research Innovation Center at Stanford, Stanford University, Stanford, CA 94305.
What is wrong with the peer review system? Is peer review sustainable? Useful? What other models exist? These are central yet contentious questions in today's academic discourse. This perspective critically discusses alternative models and revisions to the peer review system. The authors highlight possible changes to the peer review system, with the goal of fostering further dialog among the main stakeholders, including producers and consumers of scientific research.
View Article and Find Full Text PDFJ Exp Psychol Gen
January 2025
Department of Cognitive and Psychological Sciences, Nagoya University.
Judgments of attractiveness have many important social outcomes, highlighting the need to understand how people form these judgments. One aspect of appearance that impacts perceptions of attractiveness is facial femininity/masculinity (sexual dimorphism). However, extant research has focused primarily on White, Western, heterosexual participants' preferences for femininity/masculinity in White faces, limiting generalizability.
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