Immune checkpoint inhibitors (ICIs) have revolutionised cancer treatment through targeted disruption of the physiological pathways that maintain tissue tolerance, but which are co-opted by cancers to evade immunosurveillance. Thus, the resultant T-cell activity often causes immune-related adverse events including immune checkpoint inhibitor-induced inflammatory arthritis (ICI-IA). ICI-IA results in functional impairment that frequently persists, even after ICI discontinuation, with substantial quality-of-life impacts for cancer survivors.

A high-quality body of evidence to guide ICI-IA management remains an unmet need. Pharmacological treatment may be prolonged, typically begins with non-specific immunosuppression, including systemic steroids, and is usually only rationalised to more targeted therapy in resistant cases. Moreover, retrospective data suggest the high dose glucocorticoids sometimes used in new-onset ICI-IA may be associated with worse cancer outcomes.

Tumour necrosis factor (TNF) inhibition strategies are well established with excellent efficacy and safety profiles in ‘spontaneous’ inflammatory arthritides including rheumatoid and psoriatic arthritis. Mechanistic evidence from ex vivo and murine studies also supports the utility of anti-TNF therapy for steroid-refractory cases of ICI-IA. Although good clinical responses have been reported in this setting, the REACT trial (REmission induction of Arthritis caused by Cancer ImmunoTherapy) aims to provide randomised and robust clinical evidence for deploying targeted therapy earlier in ICI-IA management. It will test whether up-front anti-TNF therapy can more effectively and quickly control symptoms, reduce glucocorticoid exposure, prevent early ICI discontinuation and increase the frequency of drug-free ICI-IA remission.

REACT is a prospective, multicentre, open-label, superiority, two-arm, randomised controlled clinical trial to guide initial therapy for patients with ICI-IA. The trial will compare the current standard of care (initial prednisolone; Arm A) with the anti-TNF drug, adalimumab without glucocorticoids (Arm B).

The primary outcome is glucocorticoid-free arthritis remission rate at 24 weeks where remission is defined as: (i) No use of systemic or intra-articular glucocorticoids (except when used for adrenal insufficiency) within 4 weeks prior to assessment at 24 weeks; and (ii) absence of synovitis on clinical examination.

The protocol was approved by East Midlands—Leicester South Research Ethics Committee on 31-Oct-2024 (Ref: 24/EM/0202). Participants are required to provide written informed consent. The results of this trial will be disseminated through national and international presentations and peer-reviewed publications.

ISRCTN18217497.

Sodium-glucose cotransporter (SGLT) inhibitors have shown substantial benefit in reducing cardiovascular and kidney events across diverse clinical populations, but the underlying physiological mechanisms remain unclear. However, existing mechanistic studies on renal and cardiovascular haemodynamics show variability in design, have limited statistical power and yield inconsistent outcomes, thus limiting the ability to draw generalisable conclusions. To address this gap, we conducted a systematic review and proposed the first meta-analysis to aggregate individual participant-level data from mechanistic studies to identify consistent physiological patterns and enhance understanding of the therapeutic effects of SGLT inhibition.

Gold-standard measured glomerular filtration rate (mGFR) was selected as the primary outcome for this systematic review, which aimed to identify all completed mechanistic studies investigating the effects of SGLT inhibition. Electronic databases including Ovid MEDLINE; Ovid Embase; Cochrane Database of Systematic Reviews; and Cochrane Central Register of Controlled Trials were searched using a detailed search strategy. In total, 24 studies (n=1296) were identified. This systematic review was reported according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Key variables including demographics, medical history, concomitant medications, vital signs, mGFR, renal haemodynamics, urine and plasma biochemistry, tubular sodium handling, echocardiography, cardiac output monitoring, arterial stiffness and fluid volume will be extracted. A one-stage individual participant data meta-analysis under a Bayesian framework will be conducted, using hierarchical models to simultaneously analyse data from all eligible studies. The risk of bias due to missing results will be assessed. Sensitivity analyses and subgroup evaluations will be incorporated to explore sources of heterogeneity and assess robustness of findings.

Ethics approval was obtained from University Health Network, Toronto, Canada. Findings from the Mechanisms of SGLT Inhibitor Action and Physiological Mediators (MOSAIC) meta-analysis will be published in peer-reviewed journals and results will be disseminated at scientific conferences.

CRD420251001413.

Social prescribing is an approach to addressing non-medical issues affecting people’s health and well-being (eg, loneliness, housing or financial problems). It has gained international traction over recent years as complementary to medical care. A larger research project, comparing social prescribing across European countries, is considering how to tailor provision for the following groups: (a) LGBTIQ+persons, (b) refugees and first-generation immigrants and (c) older adults living alone. As part of this research, a qualitative study will address the question: What are the enabling and limiting factors associated with implementing social prescribing, across different European countries, from the perspective of key stakeholders?

Five European countries (Austria, England, Germany, Poland, Portugal) will be involved. Researchers from each country will conduct approximately 20 semi-structured interviews (total number will be 100). Interviewees will be people receiving, delivering, managing and funding/commissioning social prescribing. Interviews will be audio-recorded and transcribed. A cross-country analysis will be undertaken; framework analysis will support this process, with a chart developed in Excel in which data from across the five countries is summarised by the researchers involved. Summaries will be based on a thematic framework that researchers from the five countries develop together after initially analysing their own data.

Ethical approval was initially secured through the University of Oxford’s Medical Sciences Interdivisional Research Ethics Committee (IDREC 1806086) for data collection in England. This approved application was then used to secure ethics approval in Austria (through Ludwig Boltzmann Gesellschaft), Germany (through Bergische Universität Wuppertal), Poland (through Wroclaw Medical University) and Portugal (through NOVA University of Lisbon). Dissemination will include an academic journal article and presentation at relevant conferences. It will also include short videos, written summaries/policy briefs and an infographic.

This project has received funding from the European Union’s Horizon Europe Research and Innovation Programme under grant agreement No 101155873. Views and opinions expressed are, however, those of the author(s) only and do not necessarily reflect those of the European Union or the European Health and Digital Executive Agency (HADEA). Neither the European Union nor the granting authority can be held responsible for them.

Prostate cancer diagnosis and treatment planning depend on accurate histopathological assessment of needle biopsies, particularly through the Gleason scoring system. The inherently subjective nature of the grading creates variability between pathologists, potentially resulting in suboptimal patient management decisions. These reproducibility challenges extend beyond Gleason scoring to encompass other critical diagnostic and prognostic markers, including cancer volume quantification and detection of cribriform morphology patterns and perineural invasion. Artificial intelligence (AI) applications in digital pathology have emerged as promising solutions for enhancing diagnostic consistency and accuracy, with recent research demonstrating that automated systems can match expert-level performance in prostate biopsy evaluation. Nevertheless, comprehensive validation studies have revealed concerning limitations in model generalisability when deployed across different clinical environments and patient populations. Recent systematic reviews revealed widespread risk-of-bias limitations and insufficient external validation in AI diagnostic studies, highlighting critical needs for accumulated evidence supporting generalisability before clinical implementation. Rigorous external validation with preregistered protocols using independent datasets from diverse clinical settings remains essential to establish the reliability and safety of AI-assisted prostate pathology systems.

This study protocol establishes a framework for the retrospective external validation of an AI system developed for prostate biopsy assessment, to be conducted on the case-control samples of the National Prostate Cancer Register of Sweden, ProMort study (1998-2015). The primary aim is to evaluate the AI model’s diagnostic accuracy and Gleason grading performance using completely independent datasets separate from any model development or previously used validation cohorts. The diversity of the validation samples, spanning multiple geographic regions, temporal collection periods and reference standards, allows evaluation of model robustness across varied clinical contexts. Secondary aims encompass evaluating AI performance in cancer length estimation and detection of cribriform patterns and perineural invasion. This protocol delineates procedures for data collection, reference standard clarification and prespecified statistical analyses, ensuring comprehensive validation and reliable performance assessment. The study design conforms to established reporting guidelines Checklist for Artificial Intelligence in Medical Imaging (CLAIM) and Standards for Reporting Diagnostic Accuracy Studies using Artificial Intelligence (STARD-AI), and recognised best practices for AI validation in medical imaging.

Data collection and usage were approved by the Swedish Regional Ethics Review Board and the Swedish Ethical Review Authority (permits 2012/1586-31/1, 2016/613-31/2, 2019-01395, 2019-05220). The study adheres to the Declaration of Helsinki principles, and findings will be made available in open access peer-reviewed publications.

Atrial fibrillation is a common arrhythmia in patients with ischaemic heart disease. New-onset atrial fibrillation after coronary revascularisation is associated with adverse cardiovascular outcomes. This study aimed to determine the long-term cumulative incidence of new-onset atrial fibrillation after percutaneous coronary intervention or coronary artery bypass grafting surgery.

A prospective observational cohort study in a real-world population setting, conducted at three tertiary centres, on new-onset atrial fibrillation incidence after percutaneous coronary intervention (N=123) or coronary artery bypass grafting (N=123). Heart rhythm was monitored the first 30 days in hospital by telemetry and on discharge using a handheld thumb ECG device three times a day, and thereafter for 2-week periods at 3, 12 and 24 months. The primary endpoint was the cumulative incidence of new-onset atrial fibrillation 24 months after the index procedure. Secondary objectives were to describe the incidence of cerebral ischaemic stroke and bleeding, myocardial infarction and major bleeding events during 24 months follow-up.

Mean age was 67 years, and male sex was more prevalent. At 30 days, the cumulative incidence of atrial fibrillation was 56% (69/123) in the coronary artery bypass graft group and 2% (3/123) in the percutaneous coronary intervention group. At 24 months, the cumulative incidence of atrial fibrillation was 58% (71/123) in the coronary artery bypass graft group and 6% (7/123) in the percutaneous coronary intervention group. Stroke, myocardial infarction and major bleeding were infrequent during follow-up.

Over 24 months of follow-up, incident new-onset atrial fibrillation mainly occurred during the first 30 days after coronary artery bypass grafting but was more evenly distributed during 24 months after percutaneous coronary intervention.

NCT04307225.

A healthy diet improves glycaemic control and reduces cardiovascular risk in type 2 diabetes (T2D). However, access to dietitians is limited. Several countries have implemented mandatory interpretive front-of-pack labelling to guide consumers towards healthier food choices, but Sweden has not. Smartphone applications may offer an alternative platform to provide such information. This study evaluates the dietary and clinical impact of a novel application providing interpretive labelling to Swedish adults with T2D.

This is a fully decentralised randomised controlled trial. 900 individuals with T2D for ≥2 years who regularly shop for groceries will be recruited via general practices and community advertisements. Participants will be randomised to receive either: (1) access to the FoodSwitch mobile application plus standard written dietary advice, or (2) standard written dietary advice only. The FoodSwitch application allows users to scan barcodes on packaged foods to receive recommendations of healthier alternatives within the same category. The primary outcome is the difference in change in mean self-measured glycated haemoglobin between groups after 6 months. Secondary outcomes include differences in changes in waist circumference, body weight, quality of life, medication use, hospitalisations and all-cause mortality at 26 weeks. Exploratory outcomes include omics analyses. Recruitment is ongoing. Expected study completion on 31 December 2026.

The trial has received ethical approval from the Swedish Ethical Review Authority (2023-06622-01, 2024-06668-02, 2024-07357-02 and 2025-01095-02) and is performed in line with World Medical Association Declaration of Helsinki and the General Data Protection Regulation. Results will be published in a peer-reviewed international journal.

NCT05977218.

To evaluate the impact of video use in out-of-hours primary care (OOH-PC) telephone triage by examining how triage outcomes (ie, ended by telephone, clinic consultation or home visit) changed during a period with video service failure.

Observational register-based study, using periods of video service failure as a randomisation mechanism for a controlled study.

OOH-PC in four of the five Danish regions.

All telephone triage contacts to the OOH-PC call centres between April 2020 and December 2021.

Video service failures resulted in a subset of telephone triage contacts without the option of using video as a triage tool. Video service failures were identified algorithmically based on observed periods without video use.

Proportion of telephone triage contacts with clinic consultations or home visits as triage outcome during a period of video service failure compared with matched reference telephone triage contacts taking place during normal service (1:10), presented as risk ratios (RR) with 95% CI).

The algorithm identified 6605 telephone triage contacts during video service failure. Compared with matched contacts during normal service, these had a 15% higher risk of resulting in a clinic consultation (RR: 1.15, 95% CI 1.09 to 1.20). This effect was primarily isolated to the year 2021 (RR: 1.23, 95% CI 1.16 to 1.31) compared with 2020 (RR: 1.05%, 95% CI 0.97 to 1.13). Video service failure did not significantly affect the risk of a home visit.

Results strongly suggest that the unavailability of the video service is likely to significantly increase the number of clinic consultations in OOH-PC as a triage outcome. Whether this effect is likely to persist in the long term remains unclear.

Employees in sheltered workplaces face greater challenges in maintaining a healthy and vitality-enhancing lifestyle due to physical, mental and psychosocial disabilities. While workplace health and vitality programmes are particularly relevant for this group, evaluation of programmes in this setting remains limited. This paper presents a protocol for a realist evaluation of a sheltered workplace’s vitality programme aimed at physical, mental and social sources of vitality.

Using a multimethod design with adaptive qualitative methods, we developed an initial programme theory that describes how context and mechanisms of the sheltered workplace’s vitality programme influence the outcomes related to physical activity, healthy eating and social interaction. The protocol explains how we will collect and synthesise qualitative data, interviews, observations and focus group discussions, to refine and validate this initial programme theory and further evaluate the vitality programme. We aim to conduct at least 15 interviews, 15 observations, 3 focus group discussions and 1 final validating focus group. The study includes recipients of the intervention, namely individuals with varying work abilities, as well as other key stakeholders involved in the vitality programme. In this way, we will get insights into how to promote vitality-enhancing behaviours. Our context-sensitive methodology offers both scientific and practical value for future research in similar settings.

Ethical approval was granted through the Ethics Review Committee of Erasmus University Rotterdam (application number: ETH2324-0939). Findings will be disseminated through presentations, conferences, social media and peer-reviewed publications.

The study was conducted to assess the diagnostic performance of the Hightop Syphilis Rapid Diagnostic Test (RDT) in comparison with the ELISA test used as a reference method.

A laboratory-based cross-sectional and comparative study was conducted to assess the diagnostic performance of the Hightop Syphilis RDT.

Blood samples obtained from adult participants in eight health facilities were analysed at the National Public Health Laboratory (NPHL), Ministry of Public Health, Yaounde, Cameroon.

From 29 April to 25 August 2023, 583 adult participants of both sexes (aged ≥21 years), including both syphilis positive and syphilis negative, were recruited consecutively in eight health facilities in eight regions of Cameroon.

Blood samples were screened for the detection of anti-Treponema pallidum antibodies using the One Step Rapid Test (Qingdao Hightop Biotech), a non-treponemal test and ELISA (Biorex Diagnostics, UK), a treponemal test used as a reference method. Diagnostic performance of the Syphilis RDT was analysed using Epi Info V.7 and validated through online statistical tools such as StatPages, GraphPad, QuickCalcs and MedCalc software.

Of the 583 samples tested, the Hightop Syphilis RDT revealed a sensitivity of 84.6% (95% CI: 74.8% to 91.1%) and specificity of 98.5% (95% CI: 97.5% to 99.1%). The positive predictive value (PPV) and negative predictive value (NPV) were 84.6% (95% CI: 74.8% to 91.1%) and 98.5% (95% CI: 97.5% to 99.1%), respectively. Regarding the stratification of diagnostic performance by clinical stage, the test showed a sensitivity of 100.0% (95% CI: 71.51% to 100.0%) and specificity of 99.06% (95% CI: 94.86% to 99.98%). The PPV and NPV were 91.67% (95% CI: 61.00% to 98.72%) and 100.0% (95% CI: 96.55% to 100.0%), respectively, in symptomatic individuals. Among asymptomatic individuals, sensitivity was 97.56% (95% CI: 87.14% to 99.94%) and specificity was 100.0% (95% CI: 99.14% to 100.0%). The PPV and NPV were 100.0% (95% CI: 91.19% to 100.0%) and 99.77% (95% CI: 98.40% to 99.97%), respectively.

The Hightop Syphilis RDT demonstrated adequate diagnostic performance, particularly among symptomatic individuals, supporting its utility as a reliable tool for syphilis detection in clinical settings.

Histopathological evaluation of prostate biopsies using the Gleason scoring system is critical for prostate cancer diagnosis and treatment selection. However, grading variability among pathologists can lead to inconsistent assessments, risking inappropriate treatment. Similar challenges complicate the assessment of other prognostic features like cribriform cancer morphology and perineural invasion. Many pathology departments are also facing an increasingly unsustainable workload due to rising prostate cancer incidence and a decreasing pathologist workforce coinciding with increasing requirements for more complex assessments and reporting. Digital pathology and artificial intelligence (AI) algorithms for analysing whole slide images show promise in improving the accuracy and efficiency of histopathological assessments. Studies have demonstrated AI’s capability to diagnose and grade prostate cancer comparably to expert pathologists. However, external validations on diverse data sets have been limited and often show reduced performance. Historically, there have been no well-established guidelines for AI study designs and validation methods. Diagnostic assessments of AI systems often lack preregistered protocols and rigorous external cohort sampling, essential for reliable evidence of their safety and accuracy.

This study protocol covers the retrospective validation of an AI system for prostate biopsy assessment. The primary objective of the study is to develop a high-performing and robust AI model for diagnosis and Gleason scoring of prostate cancer in core needle biopsies, and at scale evaluate whether it can generalise to fully external data from independent patients, pathology laboratories and digitalisation platforms. The secondary objectives cover AI performance in estimating cancer extent and detecting cribriform prostate cancer and perineural invasion. This protocol outlines the steps for data collection, predefined partitioning of data cohorts for AI model training and validation, model development and predetermined statistical analyses, ensuring systematic development and comprehensive validation of the system. The protocol adheres to Transparent Reporting of a multivariable prediction model of Individual Prognosis Or Diagnosis+AI (TRIPOD+AI), Protocol Items for External Cohort Evaluation of a Deep Learning System in Cancer Diagnostics (PIECES), Checklist for AI in Medical Imaging (CLAIM) and other relevant best practices.

Data collection and usage were approved by the respective ethical review boards of each participating clinical laboratory, and centralised anonymised data handling was approved by the Swedish Ethical Review Authority. The study will be conducted in agreement with the Helsinki Declaration. The findings will be disseminated in peer-reviewed publications (open access).