Pulmonary embolism (PE) is a potentially fatal condition requiring timely diagnosis and treatment. CT pulmonary angiography (CTPA) is the gold standard for diagnosis and indicates PE severity through radiological markers of right heart strain. However, accurate interpretation and communication of these findings is often suboptimal in real-world practice. Artificial intelligence (AI) could alleviate pressure on radiology services by supporting PE identification, risk stratification and worklist prioritisation. Before widespread adoption, AI tools must be rigorously validated for diagnostic accuracy, safety and clinical impact.

This pragmatic single-centre, non-randomised quasi-experimental study will evaluate the diagnostic accuracy, feasibility, and clinical-cost impact of AI-assisted PE detection and risk stratification using AIDOC and IMBIO software. We will recruit two consecutive cohorts of adult patients undergoing CTPAs for suspected PE: a comparator cohort (12 months pre-AI implementation) and an intervention cohort (12 months post-AI implementation). AI will be applied retrospectively to the comparator cohort, while in the intervention cohort, radiologists will have contemporaneous access to the AI’s interpretation of CTPA images.

A subset of retrospective scans, both PE-positive and PE-negative, will undergo expert thoracic radiologist review to establish a reference standard. Data on patient demographics, clinical management and outcomes will be collected. Clinical management pathways and patient outcomes will be compared between cohorts to assess AI’s influence on acute PE management. Health economic modelling will assess the cost-effectiveness of integrating AI technology within the diagnostic workflow of acute PE.

This study was approved by the UK Healthcare Research authority (IRAS 311735, 10 May 2023). Ethical approval was granted by West of Scotland Research Ethics Service (23/WS/0067, 3 May 2023). Results will be shared with stakeholders, presented at national and international conferences, and published in open-access peer-reviewed journals.

NCT06093217.

The Latarjet procedure is the mainstay treatment in high-demand patients with substantial glenoid bone loss or after failed capsulolabral repairs. Patients typically return to sport (RTS) within 6 months postoperatively, requiring intensive rehabilitation. Current rehabilitation protocols focus on mobility, strength and stability. Yet, psychological factors, such as fear of reinjury, are the main reason not to RTS. Therefore, this study aims to determine whether integrating psychological interventions into postoperative rehabilitation improves patient-reported shoulder function compared with physical therapy alone.

This monocentric randomised controlled trial will enrol 52 patients undergoing a Latarjet procedure for anterior shoulder instability. Participants will be equally and randomly assigned to either postoperative physical therapy combined with cognitive behavioural therapy or physical therapy alone. Eligibility criteria include patients aged 18–67 years undergoing an open or arthroscopic Latarjet procedure at our institution. Exclusion criteria include posterior or multidirectional instability, rotator cuff tear, prior shoulder surgery, anxiety disorder, using anxiolytics, neurological disorder, systemic disease, previous hospitalisation for shoulder pain and proximal humerus fractures.

The primary outcome is the Western Ontario Shoulder Index at 6 months postoperatively. Secondary outcomes include incidence of recurrent dislocations, RTS and return-to-work rates, Tampa Scale of Kinesiophobia for Shoulder Instability, subjective shoulder value and visual analogue score for pain at 6 months postoperatively as well as the Shoulder Instability Return to Sport after Injury scale at 4.5 months postoperatively.

This study was approved by the French Committee of Person Protection West I. The national registration number is 2023-A02057-38. The study has been registered at Clinicaltrials.gov with trial registration number NCT06154889. Patients are not financially compensated for participation and are allowed to withdraw from the study at any time without any preconditions. The final results of the study will be submitted for publication in a peer-reviewed journal and an abstract of the study will be submitted to international scientific meetings by the end of 2026. Data will be made available by the corresponding author on reasonable request.

The study has been registered at Clinicaltrials.gov with trial registration number NCT06154889. The trial sponsor is Vivalto Santé.

NCT06154889.

Falls are a significant health concern and associated with cancer survivorship. Falls can result in negative psychosocial consequences for cancer survivors and economic sequelae for healthcare delivery. There are cancer-specific fall risk factors relevant to cancer survivors which can contribute to increased fall risk. However, fall prevention may not be addressed in standard care for cancer survivors. This review aims to synthesise the findings from published research to explore the intervention characteristics and the effectiveness of fall prevention interventions on the incidence of falls and risk factors for falls in cancer survivors.

This systematic review will follow the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. A systematic search in CINAHL Ultimate, PubMed, Scopus, Embase and supplementary search Google Scholar will be conducted in November 2025. We will include randomised controlled and controlled trials that describe the characteristics of the programme and report falls or risk factors for falls as outcomes. Title, abstract and full-text screening will be performed independently by two reviewers. The Tool for the assEssment of Study qualiTy and reporting in EXercise (TESTEX), Risk Of Bias instrument for Use in SysTematic reviews-for Randomised Controlled Trials (ROBUST-RCT) and Grading of Recommendations Assessment, Development and Evaluations (GRADE) tools will be used to assess the quality and certainty of evidence. We will provide a summary of the intervention characteristics and perform a meta-analysis or narrative synthesis of the findings as appropriate.

Ethics approval is not required for this systematic review as we will include papers published in peer-reviewed journals and original data will not be collected. The findings of this systematic review will be disseminated in a peer-reviewed publication and presented at relevant conferences.

ID 1240723.

Pathology of the long head of the biceps tendon (LHBT) frequently accompanies rotator cuff tears, with tenotomy and tenodesis often being used to address this pathology. While meta-analyses report comparable functional outcomes between these techniques, tenotomy is linked to higher rates of Popeye deformity, whereas tenodesis is more technically demanding and might involve extra material. A novel self-locking tenodesis technique aims to reduce deformity risk while being a simpler alternative to the conventional tenodesis procedure; however, comparative evidence is currently limited.

This single-centre, patient-blinded randomised controlled trial will enrol 100 patients aged ≥40 years with reparable, non-traumatic, full-thickness supraspinatus and/or infraspinatus and/or subscapularis tendon tears undergoing arthroscopic repair from January 2025 until January 2027. Key exclusion criteria include massive or irreparable tears, advanced glenohumeral osteoarthritis and prior shoulder surgery. Participants will be randomised to either 360 double lasso loop tenodesis or self-locking tenodesis. The primary outcome is the Constant score at 1 year, with a predefined non-inferiority margin of 10 points. Secondary outcomes include American Shoulder and Elbow Surgeons score, simple shoulder value score, LHB score, cosmetic appearance, pain scores and radiographic tendon migration. Statistical non-inferiority will be assessed using a one-sided t-test.

The study protocol received approval from the National Ethical Review Board in France (CPP Sud-Est V) and was registered at ClinicalTrials.gov. The results will be disseminated through publication in a peer-reviewed journal.

NCT06774820.

The COVID-19 pandemic has made long-standing nursing workforce challenges apparent on an international scale. Decision-makers must develop multi-pronged approaches to foster the development and maintenance of a strong nursing workforce to support health systems. These approaches require attendance to recruitment and retention initiatives that show promise for stabilising the nursing workforce now and into the future.

Searches were conducted across MEDLINE, Embase, CINAHL and Scopus from January 2014 up to 11 March 2024. This rapid umbrella review protocol is guided by the Joanna Briggs Institute scoping review methodology and adheres to Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols guidelines. The research question guiding this review is: what structures have healthcare systems put in place to stabilise, support and sustain the nursing workforce? This review will include existing reviews of nursing workforce initiatives with outcomes that impact nursing recruitment and retention. Results will support local health transformation including the development of a jurisdictional nursing workforce stabilisation strategy. Findings from this review will be relevant for the design, refinement and implementation of nursing workforce sustainability strategies in countries around the globe and may apply to strategies for other healthcare workers.

Institutional research ethics board exemption was received. The research team is supported by an advisory group that includes provider and patient partners. The results from this study will inform the Nursing Workforce Strategy for the province of Nova Scotia as part of a larger Canadian Institutes of Health Research-funded project. They will also inform broader planning and strategy in Canada through integration with other evidence-generation activities such as comparative policy analyses and workforce planning exercises. Finally, the results will be published in a peer-reviewed journal.

Registered through Open Science Framework: https://doi.org/10.17605/OSF.IO/CUJYK