Colorectal cancer (CRC) is one of the most common cancers worldwide. Stage II/III patients undergo curative-intent surgery yet still face the recurrence risk. Detecting recurrences early provides the best opportunity for optimal treatment. We aimed to develop a microsimulation model to evaluate CRC management-associated outcomes based on current guidelines, including the performance of guideline-recommended surveillance in detecting recurrences.

Two separate individual-level state transition (microsimulation) models for colon and rectal cancer were built with a lifetime horizon using monthly cycles. The models integrated treatment and surveillance strategies per current guidelines.

The currently recommended surveillance modalities by National Comprehensive Cancer Network guidelines for surveilling patients with CRC after curative-intent surgery.

65-year-old patients with stage II and stage III CRC who underwent curative-intent surgery in the USA.

Cumulative recurrences, detected recurrences, detection rate, overall survival and recurrence-free survival in a 5-year horizon, as well as average life expectancy, were the outcome measures used.

Over 5 years, disease recurrence was observed in 9.5% of patients with stage II–III colon cancer and in 38.0% of patients with stage II–III rectal cancer. Of these, 82.5% and 85.5% were detected via surveillance, respectively, within 5 years. The predicted 5-year overall survival was 86.0% for colon cancer and 69.3% for rectal cancer, with corresponding recurrence-free survival rates of 78.9% and 53.8%. Based on current guidelines-recommended surveillance, detecting one colon cancer recurrence requires 148 carcinoembryonic antigen (CEA) tests, 37 CT scans and 21 colonoscopies. In contrast, detecting one rectal cancer recurrence requires 31 CEA tests, 8 CT scans and 4 colonoscopies.

Our validated model suggests that relative to an optimal benchmark in which all recurrences are detected, recurrence detection under current guidelines may be suboptimal, indicating room for improvement. As new tests emerge, this model could be a valuable tool for evaluating existing clinical practices and the potential of new tests to enhance patient outcomes.

Age acceleration in survivors of breast cancer is a critical issue because cancer and its treatment can increase structural and numerical chromosomal aberrations, while simultaneously shortening telomere length and changing ageing phenotype. Therefore, the current study will be using machine learning architectures to accurately predict the factors that contribute to age acceleration among survivors of breast cancer.

The Cancer Survivors’ Trajectories of Ageing Research (C*STAR) is a hospital-based cross-sectional study involving multi-ethnic Malaysian survivors of breast cancer and a non-breast cancer control group, frequency-matched by age group (±5 years), sex and ethnicity. The three main stages of this study will be conducted in the predictive model development. First, a set of validated questionnaires will be used to collect the data on modifiable factors of ageing phenotypes and behavioural determinants of health. Second, 3 mL non-fasting blood samples will be collected, and lymphocytes will be isolated to determine telomere length using real-time PCR as a biomarker of age acceleration. Lastly, a machine learning architecture will be deployed to identify modifiable factors that may contribute to age acceleration in survivors of breast cancer and controls, with these factors used as input and ageing biomarkers of telomere length as output. The study outcomes may serve as guidance to enhance the quality of life of survivors of breast cancer and hinder the recurrence of cancer while ageing successfully.

Ethical approval was obtained from the Research Ethics Committee, Universiti Kebangsaan Malaysia (JEP-2022-700) to carry out this study. Written informed consent will be obtained from each survivor of breast cancer and each cancer-free woman prior to participation. The results of this study will be published for future research and clinical applications.

Food retail outlets in sports and recreation facilities often fail to support healthy eating, despite aligning with healthy lifestyles and goals of local governments (LGs) that often own or manage them. LGs face barriers to implementing facility changes including inadequate staffing, training and incentives. The Promoting CHANGE initiative was co-designed to support LGs in improving and sustaining healthier food and drink offerings in these settings.

A 3-year, type 2 effectiveness-implementation hybrid cluster randomised controlled trial will evaluate the Promoting CHANGE capacity-building and support package in three Intervention and four Control LGs in Victoria, Australia (August 2023–July 2026). The co-designed initiative includes human resource support, training, tools, technical assistance, community-of-practice groups, feedback based on food outlet audit and sales data and small grant incentives. Using the RE-AIM (Reach, Effectiveness, Adoption, Implementation, Maintenance) evaluation framework, the trial’s co-primary outcomes are the percentage of least healthiest food and drinks (1) displayed (implementation) and (2) sold weekly (effectiveness). Key secondary outcomes are effectiveness (sales and revenue); facility-level adoption, implementation, maintenance of healthy changes; cost-effectiveness (within-trial modelled economic evaluation). Findings will provide evidence of the initiative’s effectiveness and scalability, informing recommendations for advancing healthier food environments in over 6000 community-based food outlets across 500 Australian LGs, with implications globally.

This study has received approval from the Deakin University Human Research Ethics Committee (reference number HEAG-H 92_2023). The results will be published in scientific peer-reviewed journals along with plain language summaries for participants.

ACTRN12621001120864.

A neglected area of patient safety research is how the characteristics of mental health staff and teams may influence incidents, specifically, through unintended and harmful consequences of clinical care. While the research literature into patient safety has increased, there is still a need to further consider safety on mental health wards, for example, the role of the staff team in containment and conflict. This review aims to explore the question, ‘How do staff and team characteristics relate to safety incidents in adult inpatient mental health settings?’.

The review will follow Whittemore and Knafl’s integrative review framework. CINAHL, Cochrane, Embase, MEDLINE, PsycINFO, Web of Science will be searched. Literature published after 1999, that includes extractable quantitative, qualitative and mixed methods data exploring the relationship between staff and team characteristics on incidents in adult inpatient mental health settings, will be suitable for inclusion. The Mixed Methods Appraisal Tool will be used for quality appraisal and data analysis and will comprise data reduction, display and comparison.

No new data or access to participants will be involved in this review. As such, ethical review will not be required. Dissemination will include publication in peer-reviewed journals and presentations at national and international conferences.

This review has been registered on PROSPERO (ref. CRD420251119981; https://www.crd.york.ac.uk/PROSPERO/view/CRD420251119981).

To investigate associations between body composition indices and metabolic status among normal-weight adults.

Cross-sectional study using data from the Tehran Lipid and Glucose Study (phaseVII: 2019–2021).

Primary care and community health services in an urban Tehran population.

1298 adults (40.5% men, 59.5% women), aged 18–80years, body mass index (BMI) 18.5–24.9 kg/m². Exclusions: known diabetes, cardiovascular disease, kidney failure, malignancy, pregnancy or lactation, diuretic or glucocorticoid use. Participants were classified as metabolically healthy normal weight (MHNW) or unhealthy (MUHNW).

The primary outcome was the association between body composition and anthropometric indices with metabolic status. The secondary outcome was identification of the strongest predictors of MUHNW. Body composition was assessed by bioelectrical impedance analysis to obtain fat mass (FM), body fat percentage (BFP), skeletal muscle mass percentage (SMM%), fat mass index (FMI), fat-free mass index, skeletal muscle indices and the fat-to-muscle mass ratio (FMR). Anthropometric measures included waist circumference (WC) and waist-to-hip ratio (WHR). Associations were examined using logistic regression adjusted for age, smoking and physical activity.

Mean age: 37.5±12.8 y; MUHNW participants were older than MHNW (44.5±13.2 vs 35.8±12.1 years, p

BMI, WC, WHR and body fat indices were positively associated with metabolically unhealthy status among normal-weight adults of both sexes. WHR was the strongest predictor, highlighting its value for identifying at-risk individuals where advanced body composition tools are unavailable.

Findings of previous studies on associations between dairy consumption and metabolic health status were inconsistent. This study aimed to assess the link between consumption of dairy foods and metabolic health status, brain-derived neurotrophic factor (BDNF) and adropin levels in adults.

Cross-sectional.

An observational study in Isfahan, Iran.

Adults (n=527) selected by multistage cluster random sampling. Dietary intakes were assessed via a validated 168-item food frequency questionnaire.

Anthropometric indices, blood pressure and biochemical parameters were assessed. The criteria proposed by Wildman et al were used to categorise participants into metabolically healthy and metabolically unhealthy (MU).

Participants had a mean age of 42.66 years (45.7% women). Moderate consumption of total dairy was, respectively, linked to 58% lower odds of MU (OR _{T2 vs T1}=0.42; 95% CI 0.18 to 0.96), after taking all confounders into account. Participants in the middle versus low tertile of low-fat dairy intake showed 51% marginally lower odds of MU (OR _{T2 vs T1}=0.49; 95% CI 0.22 to 1.08; p=0.08). No significant association was discovered between high-fat dairy intake and MU chance. However, higher total dairy intake was associated with lower odds of hypertension (OR _{T3 vs T1}=0.36; 95% CI: 0.14 to 0.93). No significant associations were observed between dairy intake and BDNF or adropin levels.

Moderate consumption of total and low-fat dairy was associated with lower odds of being metabolically unhealthy in Iranian adults, but high-fat dairy intake was not. Hypertension was less common among individuals with higher dairy intake. No association was found between dairy intake and serum levels of BDNF or adropin.

To examine inpatient benzodiazepine receptor agonists prescribing patterns and assess how hospitalisation affects use at discharge.

Subanalysis of the WEsleep trial, a cluster-randomised controlled single-centre study conducted at Amsterdam University Medical Center (Amsterdam UMC) (two locations) between July 2023 and March 2024. Twelve departments (six medical, six surgical) were matched and randomised to intervention or standard care. On intervention wards, multiple measures to improve sleep were implemented, including minimising nighttime disruptions.

Amsterdam UMC, across medical and surgical hospital departments.

Adult patients admitted for ≥2 nights (medical) or undergoing elective non-cardiac surgery in a surgical department.

Benzodiazepine use was classified as no use, pre-admission use or new in-hospital initiation. Prescribing patterns were summarised descriptively according to type, timing, indication and discharge status.

Of 746 patients, 187 (25%) used benzodiazepines: 80 (43%) had pre-admission use, and 107 (57%) were newly initiated during their hospital stay. Among pre-admission users, two discontinued and five had adjustments at discharge. Among newly initiated users, 94 (88%) had their benzodiazepine discontinued at discharge. Approximately half of pre-admission prescriptions and one-third of in-hospital prescriptions lacked a documented indication.

Although most newly initiated benzodiazepine treatments were discontinued during hospitalisation, pre-existing use was rarely reassessed and nearly 10% of new users were discharged with a prescription. Structured deprescribing protocols, better documentation of indications and improved discharge planning are needed to promote safer and more rational benzodiazepine use.

NCT05683483.

To develop and externally validate a two-stage machine learning framework that integrates polygenic risk and clinical variables for early identification of individuals at risk of developing type 2 diabetes.

We conducted a prospective prediction study using data from the All of Us Research Program for model development and the UK Biobank for external validation. Two models were constructed. Stage 1 used gradient boosted decision trees (XGBoost) with cross validation, automated hyperparameter optimisation and class weighting to predict 5-year incident type 2 diabetes using demographic, clinical and polygenic predictors. Stage 2 incorporated glycated haemoglobin or fasting glucose measurements to refine risk estimates. Model interpretation used SHapley Additive exPlanations values and permutation importance, and logistic regression and random forest models served as comparators. Discrimination of all models was compared using the DeLong test.

The Stage 1 model achieved an area under the receiver operating characteristic curve (AUROC) of 0.81 in All of Us and 0.82 in UK Biobank, performing significantly better than the phenotype-only model in UK Biobank (DeLong p=1.05x10^–⁷⁶). Higher polygenic risk quartiles were associated with increased incidence of type 2 diabetes in both cohorts (global ² p

A two-stage machine learning framework that integrates genetic and clinical information can support personalised screening for type 2 diabetes across diverse populations. The approach demonstrated robust performance across cohorts and offers a practical structure for early risk identification.

Improving neonatal health—including growth, weight gain, neurodevelopment and parent–infant bonding—relies heavily on active parental involvement in neonatal care. Family-centred care models emphasise parental participation, which has been associated with improved physiological stability in infants, reduced parental stress and enhanced emotional bonding. This systematic review aims to synthesise existing evidence on the benefits of parental involvement in neonatal care, highlight best practices and identify gaps requiring further research. A rigorous methodology has been outlined to ensure the reliability and transparency of the review process.

A comprehensive search strategy will be implemented across major databases, including PubMed, MEDLINE, Scopus and Web of Science, supplemented by manual searches. The review will include randomised controlled trials published between 2000 and January 2025. Studies will be screened according to predefined inclusion criteria, and outcomes of interest will include neonatal growth, weight gain, neurodevelopmental outcomes and parent–infant bonding. Two independent reviewers will perform study selection, data extraction and risk-of-bias assessment, with discrepancies resolved by a third reviewer. Data from included studies will be synthesised using both qualitative and quantitative approaches. If studies are sufficiently homogeneous in design, interventions and outcomes, a meta-analysis will be conducted using appropriate effect measures (eg, mean difference or standardised mean difference for continuous outcomes, and risk ratios for dichotomous outcomes).

As no primary data will be collected, ethical approval is not required. The findings will be presented at relevant conferences and published in a peer-reviewed journal.

CRD420251000485.

Patients and families from culturally and linguistically diverse (CALD) backgrounds face distinct challenges during end-of-life care (EOLC) in intensive care unit (ICU) settings, where communication, cultural expectations and decision-making may conflict with clinical norms. These complexities have important implications for intensive and palliative care teams.

To map literature on clinician, patient and family perspectives on end-of-life communication with CALD populations in ICUs, and identify barriers and facilitators to culturally responsive care.

This scoping review followed Joanna Briggs Institute methodology and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews checklist. The protocol was registered with the Open Science Framework and published in BMJ Open. Screening, review and data extraction were conducted by multiple reviewers using Covidence and the Joanna Briggs Institute tool, with findings synthesised through inductive thematic analysis.

The primary outcome was to identify barriers and facilitators to communication between clinicians, patients and families from CALD backgrounds during EOLC. Secondary outcomes were to map the scope of evidence, describe study characteristics and participant demographics, and summarise themes on cultural sensitivity, clinician awareness, family involvement, decision-making and integration of support services.

Thirty of 766 screened studies were included. Three themes emerged: communication challenges; cultural sensitivity and humility and decision-making and support. Barriers included limited access to palliative care, language discordance, underuse of interpreters, clinician discomfort and conflicting care expectations. Facilitators included structured meetings, inclusive practices and interdisciplinary collaboration.

Structural, communicative and cultural barriers undermine equitable EOLC for CALD patients. Embedding palliative care principles, cultural responsiveness and shared decision-making into ICU practice requires coordinated input from a multidisciplinary team involving physicians, nurses, social workers, spiritual care, psychologists and interpreters. System-level reforms in training, service delivery and research are needed to ensure person-centred care.

Registered with BMJ Open DOI: 10.1136/bmjopen-2024-090168

To explore public perceptions of COVID-19 vaccine acceptance and hesitancy in India, and to identify underlying factors influencing attitudes toward vaccination during the second wave of the pandemic.

A cross-sectional qualitative study based on a grounded theory approach.

Community-based interviews conducted in Mumbai, a densely populated metropolitan city in India, during the second COVID-19 wave (April–June 2021).

Twenty purposively selected adults (men and women aged 22–87 years) from varied educational and occupational backgrounds. Inclusion criteria were willingness to participate and the ability to provide informed consent; individuals directly involved in COVID-19 vaccine policy or administration were excluded.

In-depth semi-structured interviews were conducted using an interview guide exploring perceptions of COVID-19 vaccination. Interviews were audio-recorded, transcribed verbatim and analysed inductively following grounded theory principles. Reflexivity was maintained throughout data collection and analysis.

Key emergent themes relating to vaccine acceptance, hesitancy and influencing factors such as safety concerns, efficacy perceptions, media influence and social determinants of vaccine choice.

Attitudes toward vaccination ranged from strong acceptance to hesitancy driven by concerns about safety, side effects and the speed of vaccine development. Media coverage, peer and healthcare professional opinions, and personal experiences shaped the decision of the participants. Cost considerations and lack of vaccine choice influenced uptake. Many participants favoured vaccination being voluntary rather than mandatory for the general population.

Trust in authorities, transparent risk communication and culturally sensitive engagement are critical to improving vaccine confidence. Public health strategies should address safety concerns, ensure equitable access and promote consistent messaging to enhance vaccine acceptance in current and future pandemic contexts.