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.
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
Interstitial lung diseases (ILD) associated with an underlying connective tissue disease (CTD), also known as a systemic autoimmune rheumatic disease or SARD, are chronic conditions with a tendency to progress. CTD-ILDs are increasingly diagnosed and pose an important global health challenge. This systematic review aims to provide an overarching evaluation of their epidemiology and disease burden in Asia. In this review, the term CTD-ILD will be used to denote all major forms of ILD arising in the context of a SARD.
This systematic review will adhere to the standards of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, including a flow diagram to depict the process by four independent reviewers that will assess titles and abstracts against the following predetermined criteria. A systematic review of the literature search published from 2000 to 2024 will be conducted using five electronic databases including PubMed/MEDLINE, Scopus, EMBASE, Cochrane Library and Web of Science. Publications that meet the inclusion criteria of this review will be subjected to a full-text review to extract relevant data. Collated data will be analysed and organised into categories based on the expected outcome and objectives. The quality of published evidence, including heterogeneity across studies, will be checked against PRISMA checklists and assessed by Newcastle-Ottawa Scale.
Ethics approval is not applicable for this study since no original data will be collected. The findings of this review will be disseminated through a peer-reviewed publication in a scientific journal and conference communications, with the aim of contributing insights to the field by identifying research gaps and informing clinical practice.
The protocol of this systematic review is registered with the National Medical & Research Register (ID-24–03600-GUB) and International Prospective Register of Systematic Reviews PROSPERO (CRD420251037095).
Hospital patients are at an increased risk of falls, which are a significant safety concern within healthcare settings.1 Understanding how the COVID-19 pandemic has influenced fall risks is essential for identifying key factors that could inform future fall prevention strategies.2 This scoping review aims to explore the barriers and challenges associated with preventing inpatient falls in the context of the post-COVID-19 environment.
The methodology for this scoping review follows the framework established by Arksey and O’Malley. A comprehensive literature search will be conducted using specific keywords to identify relevant published studies. Searches will be performed across selected electronic databases, including PubMed/MEDLINE, CINAHL, Scopus, ProQuest and Web of Science, covering publications from 2014 to 2024. This review will focus on a global perspective. Two authors will independently screen titles and abstracts to identify potential studies for inclusion. Studies meeting the inclusion criteria will be retrieved for full-text review, and their references will be assessed for relevance using the same criteria. The PRISMA flow diagram will guide the review process. Data will be extracted, analysed and charted according to categories from the selected publications.
This scoping review will provide a comprehensive overview of the barriers and challenges in preventing inpatient falls in the post-pandemic context. The findings will be disseminated through submission for publication in a scientific journal.
This scoping review protocol is registered with Open Science Framework (OSF) available at https://osf.io/.
Falls are highly prevalent among individuals with dementia, largely due to the cognitive and physical impairments associated with the condition. Understanding the barriers and challenges to fall prevention in community-dwelling individuals with dementia is essential for developing tailored strategies that address their unique risks. Despite the existing evidence on fall prevention in older adults, few reviews specifically examine the obstacles faced by persons with dementia and their caregivers in community settings. This scoping review, therefore, aims to map the barriers and challenges to preventing falls among community-dwelling individuals with dementia.
This review will follow Arksey and O’Malley’s five-stage framework and be reported in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses—Extension for Scoping Reviews checklist. Six electronic databases (PsycINFO, PubMed, Web of Science, Cumulative Index to Nursing and Allied Health Literature, Scopus and Embase) will be searched for relevant studies published between 2014 and 2024. Grey literature sources, including dissertations and conference proceedings, will also be included. Data will be charted and synthesised thematically to provide an overview of barriers and contextual factors influencing fall prevention. The study commenced in August 2025 and is expected to be completed by February 2026.
As this review involves the analysis of existing literature, ethical approval is not required. Findings will be disseminated through peer-reviewed publications, conference presentations and summaries tailored for healthcare providers and caregiver groups.
The protocol is registered with the Open Science Framework: https://osf.io/gnw47/(dataset).
Oral health research provides evidence for policy and practice, yet no study has comprehensively mapped the scope of oral health research in Malaysia. The COVID-19 pandemic has also created a great impact on oral healthcare in Malaysia, including the dental care delivery. Additionally, there is a notable lack of research focusing on oral health during and after the COVID-19 pandemic. Therefore, this scoping review will aim to map the landscape of oral health research conducted in Malaysia and identify key topics, study designs, populations studied and gaps in the literature, in order to inform future research priorities and policy, particularly in the post-COVID-19 era.
The methodology draws on Arksey and O’Malleys’ seminal framework for the scoping review and will be reported in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses for Scoping Review (PRISMA-ScR) guidelines. We will search five major electronic databases—PubMed, Scopus, ProQuest, Cochrane and Web of Science—as well as selected grey literature sources (eg, theses, dissertations and conference proceedings) for studies published in English from January 2014 to December 2024. Studies of any design related to oral health in Malaysia will be included. Two reviewers will be performing title and abstract screening, in which they will be working independently. The included publication will undergo a full-text review, and references cited in these studies will be examined following the inclusion criteria. The PRISMA-ScR flow diagram will be used as a guide throughout the process. Data will be extracted, analysed and charted according to key categories identified in the included publications. A narrative synthesis and descriptive statistics will be presented.
The results of this scoping review will illustrate an overview and provide a better understanding regarding the oral health research in the Malaysian context; whether research has already been conducted, is currently ongoing and is still needed; and which areas should be prioritised for future investigation. As this review will use publicly available literature, formal ethics approval will not be required. The findings will be submitted for publication in an open-access peer-reviewed journal, presented at national and regional conferences and shared with Malaysian dental professional bodies and relevant stakeholders.
The protocol of this scoping review is registered with the Open Science Framework and is available at osf.io/hjq6m.