Selective fetal growth restriction (sFGR) is a major cause of perinatal morbidity and mortality in monochorionic diamniotic (MCDA) twin pregnancies. Current management relies on umbilical artery Doppler patterns in the smaller twin. These patterns are, however, inconsistent and do not represent a reliable severity scale, complicating clinical decision-making and parental counselling. This study aims to improve risk stratification by identifying predictors of adverse outcomes, while also evaluating the pathophysiology and multi-organ impact of sFGR in early childhood.

This is a prospective, international, multicentre cohort study conducted in six tertiary fetal medicine centres with expertise in complicated twin pregnancies. Recruitment began in March 2023 and will continue until December 2026, targeting 274 MCDA twin pairs with complete follow-up to develop a prediction model for adverse perinatal outcomes in sFGR at the time of diagnosis. Standardised data collection includes serial ultrasound examinations, advanced fetal imaging (cardiac, cerebral and 3D volumetric), fetal brain MRI and detailed placental phenotyping. Maternal and parental well-being are assessed during pregnancy and after birth. Neurodevelopmental outcome is evaluated up to 2 years after birth using validated tools. The statistical analysis plan includes predictive modelling with internal validation.

The study has been approved by the ethical review boards of all participating centres. Findings will be disseminated through peer-reviewed publications, international conferences and engagement with clinical guideline committees.

NCT05952583.

National Immunization Technical Advisory Groups (NITAGs) are multidisciplinary groups of national experts who provide independent advice to policy makers on issues related to immunisation and vaccines, based on evidence and the national context. On the other hand, academic institutions can be described as organisations dedicated to education and research. These include schools, colleges, universities and research centres that offer formal education, conduct scholarly research and contribute to knowledge in various fields. NITAGs can enhance their capacity by linking with academic institutions and leveraging scientific expertise in research, data analysis, modelling, resource procurement and management, and policy formulation. The proposed landscape analysis will explore the links between NITAGs and academic institutions, especially in the sub-Saharan African context, and, where such exist, document their characteristics and identify benefits, challenges and best practices for fostering such linkages.

This landscape analysis will use an adaptation of the WHO’s quick guide manual on ‘Performing a landscape analysis: Understanding health product research and development’. The planned landscape analysis will be conducted in two parts. The first part will entail a review of published literature to identify relevant documents on linkages between NITAGs and academic institutions. The second part will entail conducting key informant interviews with NITAG members, partners and other identified key stakeholders in two study countries: Ethiopia and Zambia. The transcribed scripts will be thematically analysed. The findings from both parts will be synthesised and presented as a descriptive landscape analysis report.

The protocol of the parent study has been reviewed and approved by the Human Research Ethics Committee of the University of Cape Town (Reference 417/2025). It has also been approved by the Biomedical Research Ethics Committee of the University of Zambia (REF. NO. 6760-2025) and the Ethiopian Public Health Association (EPHA/06/392/25). The landscape analysis report will be submitted to the commissioning funder (Gavi, the Vaccine Alliance) and will also be published in a peer-reviewed journal.

https://osf.io/vprka

Reducing sedentary behaviour (SB) in older adults is a promising strategy to promote healthy ageing. However, to develop more effective interventions, more in-depth information is needed on how existing interventions work. The present realist review aims to identify the working mechanisms and contextual preconditions to guide the development of future interventions.

A realist review was conducted following the iterative process of Pawson and Tilley and reported following the RAMESES publication standards.

Evidence was searched in four databases: EMBASE, PubMed, Web of Science and Scopus, and in the grey literature.

All study types and designs were included. Studies conducted in older adults with a mean age of 60 years or older, providing information on the context, mechanisms and/or outcomes of interventions aimed at the reduction of SB were eligible for inclusion and appraised for relevance and rigour.

All data were coded by two independent reviewers. Sections that contained relevant information to refine, refute or confirm the initial programme theory were given a code. Based on these codes, context-mechanism-outcome configurations were made, and a final programme theory was developed.

In total, 58 studies, from 61 articles, were eligible. The review revealed three important contexts for changes in SB: the (1) motivation, (2) opportunities and (3) capabilities of older adults. Depending on the context, other behaviour change techniques should be used to trigger specific mechanisms and, in turn, reduce SB. Especially, the impact of the underlying automatic processes of SB on the effectiveness of SB interventions became clear. Existing interventions primarily focus on the reflective processes guiding SB, without taking into account that SB is often an automatic response that occurs unconsciously, with little reasoning.

The effectiveness of SB interventions in older adults highly depends on the context in which the interventions occur. In particular, the context of automatic motivation should receive more attention to break the ingrained habit of SB in older adults.

Predictive scoring systems support clinicians in decision-making by estimating the prognosis of patients in intensive care units (ICUs). However, there is limited evidence on the accuracy of these systems in predicting mortality and organ dysfunction in special populations. The aim of this review is to assess the performance of predictive scoring systems in forecasting mortality in adult ICU patients in relation to baseline kidney function. It is anticipated that the assessment of predictive scoring systems’ performance and patient outcomes in this review may reveal information that will contribute to improve the quality of care and outcomes for special or under-represented ICU patient populations. It might also inform future research and contribute to the development of novel risk prediction models to address identified gaps or unanswered questions.

This review will include only observational studies, as these allow us to assess the real-world performance of predictive scoring systems in ICU settings by examining the original validation studies. By excluding randomised trials, paediatric studies, case reports and machine learning-derived models, this review focuses on the direct practical use of the scoring systems in adult ICU patients. A comprehensive search of MEDLINE, Embase and Scopus was conducted from database inception to 10 October 2024. The data will be extracted on study characteristics, patient outcomes and performance metrics.

This review will analyse data from previously published studies; no ethical approval is required. All data that will be included in the analysis will be publicly available and will be included in the final manuscript. Results will be disseminated through publication in a peer-reviewed journal and will also be presented at seminars and conferences.

CRD42024611547.