To assess the time to first optimal glycaemic control and its predictors among adult patients with type 1 and type 2 diabetes at the University of Gondar Comprehensive Specialized Hospital in Ethiopia.

A retrospective cohort study.

University of Gondar Comprehensive Specialized Hospital, northwest, Ethiopia.

We recruited 423 adult diabetic patients who were diagnosed between 1 January 2018 and 30 December 2022 at the University of Gondar Comprehensive Specialized Hospital.

The primary outcome was the time from diagnosis to the achievement of the first optimal glycaemic control, measured in months. A Cox proportional hazards regression model was fitted to identify predictors of time to first optimal glycaemic control. Data were collected with KoboToolbox from patient medical charts and exported to Stata V.17. The log-rank test was used to determine the survival difference between subgroups of participants.

Median time to first optimal glycaemic control was 10.6 months. Among 423 adult diabetic patients, 301 (71.16%) achieved the first optimal glycaemic control during the study period. Age category (middle age (adjusted HR (AHR)=0.56, 95% CI 0.41 to 0.76), older age (AHR=0.52, 95% CI 0.33 to 0.82)), comorbidity (AHR=0.52, 95% CI 0.35 to 0.76), therapeutic inertia (AHR=0.20, 95% CI 0.13 to 0.30) and medication non-compliance (AHR=0.49, 95% CI 0.27 to 0.89) were significant predictors of time to optimal glycaemic control.

The median time to first optimal glycaemic control was prolonged. Diabetic care should focus on controlling the identified predictors to achieve optimal glycaemic control early after diagnosis.

Structural MRI of the brain is routinely performed on patients referred to memory clinics; however, resulting radiology reports, including volumetric assessments, are conventionally stored as unstructured free text. We sought to use natural language processing (NLP) to extract text relating to intracranial volumetric assessment from brain MRI text reports to enhance routine data availability for research purposes.

Electronic records from a large mental healthcare provider serving a geographic catchment of 1.3 million residents in four boroughs of south London, UK.

A corpus of 4007 de-identified brain MRI reports from patients referred to memory assessment services. An NLP algorithm was developed, using a span categorisation approach, to extract six binary (presence/absence) categories from the text reports: (i) global volume loss, (ii) hippocampal/medial temporal lobe volume loss and (iii) other lobar/regional volume loss. Distributions of these categories were evaluated.

The overall F1 score for the six categories was 0.89 (precision 0.92, recall 0.86), with the following precision/recall for each category: presence of global volume loss 0.95/0.95, absence of global volume loss 0.94/0.77, presence of regional volume loss 0.80/0.58, absence of regional volume loss 0.91/0.93, presence of hippocampal volume loss 0.90/0.88, and absence of hippocampal volume loss 0.94/0.92.

These results support the feasibility and accuracy of using NLP techniques to extract volumetric assessments from radiology reports, and the potential for automated generation of novel meta-data from dementia assessments in electronic health records.

The Puerto Rico Department of Health (PRDH) seeks to identify dengue epidemics as early as possible with high specificity.

Development and prospective application of an early warning system for dengue epidemics using routine historical surveillance data. A weekly intercept-only negative binomial regression model was fitted using historical probable and confirmed dengue data. A range of threshold definitions was explored using three model-estimated percentiles of weekly dengue case counts.

Dengue is endemic in Puerto Rico with irregular occurrence of large epidemics with substantial impact on health burden and health systems. Probable and confirmed dengue data are routinely collected from all hospitals and private clinics.

A total of 86 282 confirmed or probable dengue virus cases were reported from 1 January 1986 to 30 June 2024, with an annual mean of 2212 cases (median: 1533; range: 40–10 356).

The model was fitted retrospectively to mimic real-time epidemic detection and assessed based on sensitivity and specificity of epidemic detection.

The 75th percentile threshold aligned best with historical epidemic classifications, balancing false alarms and missed detections. This model provides a robust method for defining thresholds, accounting for skewed data, using all historical data and improving on traditional methods like endemic channels.

In March 2024, PRDH declared a public health emergency due to an early, out-of-season surge in cases that exceeded the epidemic alert threshold developed in this study. This real-time application highlights the value of these thresholds to support dengue epidemic detection and public health response. Integrating thresholds with other tools and strategies can enhance epidemic preparedness and management.

Gestational diabetes mellitus (GDM) is an emerging public health concern in low and middle-income countries, including Nigeria, because of the associated pregnancy complications, increased healthcare costs and long-term health sequelae among women of reproductive age and their offspring. We determined the cumulative incidence, risk factors and pregnancy outcomes of GDM in Ibadan, Nigeria.

Prospective cohort study.

Ibadan, Southwest Nigeria.

721 pregnant women from the Ibadan Pregnancy Cohort Study participated in the one-step 75 g-oral glucose tolerance test at 24–28 weeks’ gestation.

The primary outcome of the study is the cumulative incidence of GDM. GDM was diagnosed according to the International Association of Diabetes and Pregnancy Study Groups criteria. Secondary outcomes were pregnancy outcomes, which included modes of delivery (CS, spontaneous vaginal delivery), macrosomia (birth weight ≥4.0 kg), gestational age at delivery and birth asphyxia. The risk factors (exposures) examined included sociodemographic, obstetric, clinical, behavioural and lifestyle factors. Bivariate and multivariate Log-binomial regression models were used to identify the independent risk factors of GDM (adjusted for maternal age ≥35 years, income, maternal body mass index, history of pregnancy loss and congenital anomaly) and the associated pregnancy outcomes of GDM (adjusted for maternal age, income and maternal body mass index). Adjusted relative risk (aRR) and 95% CI, used to assess the strength of associations, were reported.

The cumulative incidence of GDM was 20.7%, 95% CI (17.9% to 23.9%). The mean time for the diagnosis of GDM is 25.4±1.42 weeks of gestation. After adjusting for other variables, maternal age ≥35 years: (aRR: 1.48). 95% CI (1.07 to 1.97) p=0.016), maternal obesity (aRR: 1.85, 95% CI (1.26 to 2.30) p=0.002) and a previous history of congenital anomaly (aRR: 2.83, 95% CI (1.97 to 4.07) p

The cumulative incidence of GDM is high among pregnant women in Ibadan. Maternal age ≥35 years, maternal obesity and a history of congenital anomaly were significant independent risk factors for GDM. These factors should be targeted for public health interventions, including lifestyle modification among pregnant women with obesity and early screening and diagnosis of GDM.

Current guideline-recommended antibiotic treatment durations for ventilator-associated pneumonia (VAP) are largely standardised, with limited consideration of individual patient characteristics, pathogens or clinical context. This one-size-fits-all approach risks both overtreatment—promoting antimicrobial resistance and adverse drug events—as well as undertreatment, increasing the likelihood of pneumonia recurrence and sepsis-related complications. There is a critical need for VAP-specific biomarkers to enable individualised treatment strategies. The Ventilator-associated pneumonia Biomarker Evaluation (VIBE) study aims to identify a dynamic alveolar biomarker signature associated with treatment response, with the goal of informing personalised antibiotic duration in future clinical trials.

VIBE is a prospective, observational, case-cohort study of 125 adult patients with VAP in Michigan Medicine University Hospital intensive care units. Study subjects will undergo non-bronchoscopic bronchoalveolar lavage on the day of VAP diagnosis (Day 1) and then on Days 3 and 5. Alveolar biomarkers (quantitative respiratory culture bioburden, alveolar neutrophil percentage and pathogen genomic load assessed via BioFire FilmArray polymerase chain reaction) will be assessed. An expert panel of intensivists, blinded to biomarker data, will adjudicate each patient’s Day 10 outcome as VAP clinical cure (control) or treatment failure (case). Absolute biomarker levels and mean-fold changes in biomarker levels will be compared between groups. Data will be used to derive a composite temporal alveolar biomarker signature predictive of VAP treatment failure.

Ethical approval was obtained from the University of Michigan Institutional Review Board (IRB #HUM00251780). Informed consent will be obtained from all study participants or their legally authorised representatives. Findings will be disseminated through peer-reviewed publications, conferences and feedback into clinical guidelines committees.

Considering the proven anti-inflammatory effects of curcumin, we aimed to investigate the effect of curcumin supplementation on fatigue and musculoskeletal health (primary outcomes) and depression and its side effects (secondary outcomes) in postmenopausal women.

This was a parallel-group, double-blind, randomised placebo-controlled superiority trial.

The trial was conducted at two general clinics in Tabriz, Iran, in 2023.

A total of 74 postmenopausal women were enrolled. The participants were women aged between 40 years and 60 years with normal menopause and at least 1 year after amenorrhoea.

They were randomly assigned (1:1 allocation ratio) using a block randomisation method to receive either 500 mg curcumin capsules (intervention group, n=37) or identical placebo capsules (control group, n=37) twice daily for 8 weeks. Both participants and researchers were blinded to the group assignments.

Data were collected using the questionnaires of demographic characteristics, short form of the perimenopausal fatigue scale, musculoskeletal health, Beck Depression Inventory (BDI-13) and the side effects checklist. Independent t, ANCOVA and Mann-Whitney U tests were used to compare the results between the two groups.

A total of 74 women were randomised, with 33 in the curcumin group and 31 in the placebo group completing the study and being included in the final analysis. After the 8-week intervention, ANCOVA adjusting for baseline values revealed that the curcumin group showed a statistically significant improvement in musculoskeletal health (mean difference (MD): 5.3; 95% CI: 3.3 to 7.4; p

In this trial, an 8-week supplementation with curcumin was more effective than placebo at improving musculoskeletal health and reducing fatigue score in postmenopausal women. The study was not able to demonstrate a significant effect on depression.

Iranian Registry of Clinical Trials (IRCT): IRCT20120718010324N72. Last updated version: 18 October 2022. Actual start of recruitment: 23 January 2023.

This study employs structural equation modelling to explore the inter-relationships among optimal antenatal care (ANC), health facility delivery and early postnatal care (EPNC) in Ethiopia. By identifying both direct and indirect influencing factors, the study offers valuable insights to support integrated maternal health strategies and guide informed decision-making by policymakers and women alike.

The secondary analysis of the Ethiopian Demographic and Health Survey 2016 was performed to investigate inter-relationships between optimal ANC, health facility delivery and postnatal care (PNC) among women in Ethiopia. Data were analysed with R software V.4.3.2. The study used binary logistic regression to examine differences in optimal ANC, health facility delivery and EPNC, focusing on variables with a p value of 0.1 or less. Selected variables were incorporated into a generalised structural equation model (GSEM) using the LAVAAN package to explore both direct and indirect effects. The GSEM method assessed the impact of exogenous variables on endogenous variables, all binary, using a logistic link and binomial family. Missing data were handled with the multiple imputation by chained equations package, and sampling weights were applied to ensure national and regional representativeness.

The source population comprised all women of reproductive age (15–49 years) who gave birth in the 5 years preceding the survey. From 16 650 interviewed households (98% response rate), we identified 7590 eligible women with recent births. Finally, we included 2415 women who had attended four or more ANC visits.

Media exposure significantly boosts the likelihood of using ANC (OR=1.8, 95% CI (1.04 to 3.23), p=0.04), health facility delivery (OR=1.7, 95% CI (1.23 to 2.45), p=0.05) and PNC (OR=2.0, 95% CI (1.6 to 4.01), p=0.01). Urban residence and secondary education also enhance ANC (OR=1.2, 95% CI (1.01 to 2.88), p=0.022; OR=1.3, 95% CI (1.20 to 3.01), p=0.018), health facility delivery (OR=1.1, 95% CI (1.01 to 3.24), p=0.035; OR=1.5, 95% CI (1.22 to 3.45), p=0.03) and PNC (OR=1.6, 95% CI (1.01 to 4.32), p=0.03). ANC directly affects health facility delivery (OR=1.4, 95% CI (1.28 to 3.09), p=0.01) and PNC (OR=1.6, 95% CI (1.01 to 3.80), p=0.03). Additionally, women aged 20–34 years and those from male-headed households positively impact health facility delivery (OR=1.5, 95% CI (1.20 to 4.80), p=0.01; OR=1.3, 95% CI (1.07 to 3.45), p=0.014) and PNC (OR=1.4, 95% CI (1.10 to 2.90), p=0.01; OR=1.2, 95% CI (1.07 to 3.08), p=0.025).

Optimal ANC is vital for encouraging health facility delivery and EPNC. To enhance maternal and neonatal health, policies should integrate these services. Key predictors include being aged 20–34, having secondary and higher education, media exposure, male-headed households and living in urban areas. Improving education and media exposure can boost maternal healthcare service use.

Participation in physical activity (PA) is a cornerstone of the secondary prevention of stroke. Given the heterogeneous nature of stroke, PA interventions that are adaptive to individual performance capability and associated co-morbidity levels are recommended. Mobile health (mHealth) has been identified as a potential approach to supporting PA post-stroke. To this end, we used a Sequential Multiple Assignment Randomised Trial design to develop an adaptive, mHealth intervention to improve PA post-stroke – The Adaptive Physical Activity programme in Stroke (TAPAS) (Clinicaltrials.Gov NCT05606770). As the first trial in stroke recovery literature to use this design, there is an opportunity to conduct a process evaluation for this type of adaptive intervention. The aim of this process evaluation is to examine the implementation process, mechanism of change and contextual influences of TAPAS among ambulatory people with stroke in the community.

Guided by the Medical Research Council Framework for process evaluations, qualitative and quantitative methods will be used to examine the (1) implementation process and the content of TAPAS (fidelity adaptation, dose and reach); (2) mechanisms of change (participants’ response to the intervention; mediators; unexpected pathways and consequences) and (3) influence of the context of the intervention. Quantitative data will be presented descriptively, for example, adherence to exercise sessions. Qualitative data will be collected among TAPAS participants and the interventionist using semi-structured one-to-one or focus group interviews. Transcribed interviews will be analysed using reflexive thematic analysis. Key themes and sub-themes will be developed.

Ethical approval has been granted by the Health Service Executive Mid-Western Ethics Committee (REC Ref: 026/2022) (25/03/2024). The findings will be submitted for publication and presented at relevant national and international academic conferences.

Palliative cancer care is comprehensive, specialised medical care of patients that aims to alleviate physical, mental and emotional distress based on patients’ needs rather than on prognosis. In Ethiopia, the federal ministry of health started palliative care (PC) in 2016. Since then, services have been developed and integrated as important components of the Health Sector Transformation Plan II. However, there is a scarcity of nationally summarised data regarding PC service utilisation in Ethiopia. Therefore, this protocol describes a planned systematic review and meta-analysis that will evaluate utilisation of PC services and its predictors among adult cancer patients in Ethiopia.

The online databases of PubMed, Hinari, EMBASE, CINHAL, Science Direct, Scopus and Google Scholar will be comprehensively searched from inception to 31 February 2025. To assess the quality of included studies, the Joanna Briggs Institute critical appraisal tools will be used. The statistical software STATA V.17 will be used for data analyses. To examine the heterogeneity between studies, inverse variance (I²) will be used. To calculate the pooled prevalence of PC service utilisation, a fixed or random effects meta-analyses model will be used with a 95% CI, depending on the presence or absence of heterogeneity between included studies. To look for publication bias, a visual inspection of the funnel plot and Egger and Begg’s regression test and a 5% level of significance will be used.

Ethical approval is not applicable. The results will be disseminated to academic beneficiaries and the public.

The climate crisis represents an unprecedented threat to global health systems, requiring urgent decarbonisation across all healthcare sectors. Although medical diagnostics affect approximately 70% of clinical decisions, they receive disproportionately little attention in healthcare sustainability research. This knowledge gap is particularly concerning as the impact of climate change on health may increase diagnostic testing demands, potentially creating a feedback loop of environmental harm. Carbon assessment methodologies within healthcare are heterogeneous and context-specific, with varying methodologies and assumptions complicating systematic evaluation. The proposed scoping review aims to map and analyse the existing literature on medical diagnostic carbon footprints, synthesising methodological approaches, core assumptions and evidence gaps to guide future decarbonisation efforts.

Four electronic databases (PubMed, Embase, Web of Science and HealthcareLCA) will be systematically searched from their inception to January 2025. The search strategy will combine subject headings and text words related to (1) carbon footprint and (2) diagnostic testing of any form. Only published, peer-reviewed studies will be considered, with no exclusions made on the basis of language, location or publication date. Two independent reviewers will screen titles/abstracts and full texts, with disagreements resolved through discussion. Data will be extracted using a bespoke tool developed and piloted by the research team to capture study characteristics, methodological approaches and key findings. Narrative synthesis and descriptive quantitative analysis will be used to analyse the data. The review will be reported in accordance with the Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews checklist.

Ethical approval is not required for this scoping review. Our findings will be published in a peer-reviewed scientific journal and presented at scientific conferences.

The study aims to assess the magnitude of acute gastroenteritis and associated factors among under-five children visiting public hospitals in Jigjiga City, Somali Region, Ethiopia.

A hospital-based cross-sectional study design was used to carry out the study. We then employed a systematic random sampling technique through face-to-face interviews to gather the data. A structured questionnaire consisting of socio-demographic, behavioural, environmental and clinical factors was developed after reviewing relevant literature.

The study was conducted in public hospitals located in Jigjiga City, Somali Region, Ethiopia.

A total of 353 under-five children visiting public hospitals were involved in the study.

The primary outcome of the study was the prevalence of acute gastroenteritis.

The 2-week prevalence of acute gastroenteritis among under-five children was 24.6% (95% CI 23.4% to 25.9%). The study found strong links between acute gastroenteritis and having a household greater than five (adjusted OR (AOR)=2.94, 95% CI 1.55 to 5.60), an unprotected source of drinking water (AOR=2.74, 95% CI 1.29 to 5.82), unimproved latrine facilities (AOR=3.15, 95% CI 1.26 to 7.78), the presence of faeces around the latrine (AOR=3.53, 95% CI 1.77 to 7.03) and mothers or caregivers’ history of diarrhoea over the past 2 weeks (AOR=6.23, 95% CI 3.22 to 12.06).

The overall prevalence of acute gastroenteritis in Jigjiga City was relatively high in the 2-week period. Having a household greater than five, an unprotected source of drinking water and unimproved latrine facilities was a significant predictor of acute gastroenteritis. Additionally, the presence of faeces around the latrines and the history of diarrhoea in mothers or caregivers over the past 2 weeks were strongly linked to acute gastroenteritis.

This study aimed to compare the nutritional status and dietary intake between khat chewer and non-chewer women of reproductive age in Halaba Zone, South Ethiopia.

A comparative cross-sectional study was conducted.

The study was conducted in Halaba Zone, South Ethiopia.

A total of 792 (396 khat chewers and 396 non-chewers) women of reproductive age were selected by a simple random sampling technique from 20 June 2023 to 26 August 2023.

Dietary intake was assessed by a single 24-hour recall method. The nutrient adequacy ratio and mean adequacy ratio were applied to estimate the adequacy of micronutrients. Standing height was measured using a wall-mounted stadiometer to the nearest 0.1 cm, and weight of the women was measured to the nearest 0.1 kg on a battery-powered digital scale (Seca Gmbh & Co. KG, Germany). A linear regression model was fitted to determine the relationship between nutritional status and khat chewing. Binary logistic regression analyses were used to estimate the odds of nutrient intake inadequacy among the two study groups. A p value of

Women who chewed khat had a higher prevalence of underweight (36.6%) than those who did not (9.4%). The mean (SD) body mass index for khat chewer women was 48.66±5.39 kg, while that of non-chewer women was 55.29±6.75 kg. Women who chewed khat were significantly more likely to be underweight than those who had never chewed khat (β = –1.91, 95% CI –2.30 to –1.53; p12 (AOR=2.79 (95% CI 1.79 to 4.36), p

Women who chewed khat were significantly more likely to be underweight compared with those who had never chewed khat. Khat chewers were more likely than non-chewers to have inadequate carbohydrate, protein, thiamine, riboflavin, niacin, vitamin B₁₂, zinc and calcium intake. Public health interventions aimed at improving the nutritional status of women of reproductive age should develop strategies to address the spread of khat-chewing habits.

Carers of people with non-memory-led dementias such as posterior cortical atrophy (PCA), primary progressive aphasia (PPA) and behavioural variant frontotemporal dementia (bvFTD) face unique challenges. Yet, little evidence-based support and guidance are available for this population. To address this gap in services, we have developed a novel, web-based educational programme: the Better Living with Non-memory-led Dementia programme (BELIDE). BELIDE was co-designed with people with lived experience of non-memory-led dementia and a previous pilot study confirmed its feasibility as an online intervention. This protocol outlines the randomised controlled trial (RCT) to evaluate the clinical and cost-effectiveness of BELIDE.

This is a parallel-group, single-blind, RCT of 238 unpaid caregivers of people diagnosed with PCA, PPA or bvFTD recruited internationally among members of the UK-based organisation Rare Dementia Support. The intervention (BELIDE programme) consists of six structured online educational modules tailored to each phenotype, a virtual onboarding session, real-life practice tasks and up to two follow-up facilitation sessions. The group receiving the intervention will be given access to the programme, while the control group will receive treatment as usual and be placed on a wait-list to receive access to the programme once they complete their participation in the trial. The allocation ratio will be 1:1 stratified by dementia diagnosis and gender. The primary outcome is reduction in caregiver depressive symptoms. Secondary outcomes include stress, anxiety, self-efficacy, quality of life and caregiver-patient relationship quality. Data will be collected online via Qualtrics surveys at baseline, 8 weeks and 6 months post-randomisation. A mixed-method process evaluation with a subgroup of intervention participants will explore barriers and facilitators for engagement. A health economics evaluation will also be conducted to assess cost-effectiveness. If effective, this programme could improve access to caregiver support for non-memory-led dementias by providing scalable, tailored education.

Ethical approval has been granted by University College London Research Ethics Committee (8545/007). The results will be disseminated via peer-reviewed publications, conferences, stakeholder events and open-access resources.

This trial has been registered prospectively on the Clinical Trials registry, first posted on 5 February 2024 under registration number NCT06241287.

Globally, the circulation of influenza and other seasonal respiratory viruses changed dramatically during the COVID-19 pandemic. This study aims to determine the trends of acute respiratory infections (ARIs) caused by SARS-CoV-2, influenza A, influenza B and respiratory syncytial viruses (RSVs) in patients presenting to hospitals in the Lao People’s Democratic Republic (PDR) (Laos).

Prospective surveillance study.

Four provincial hospitals across Laos between March 2021 and July 2023.

Participants of all ages who met our case definition for an ARI (axillary temperature ≥37.5°C or history of fever AND cough or other respiratory symptoms/signs OR loss of smell and/or taste) presenting to the hospital less than 10 days after symptom onset were eligible to be enrolled in the study. Combined nasopharyngeal and throat swabs were tested for SARS-CoV-2, influenza A, influenza B and human RSV (hRSV) using probe-based real-time RT (Reverse transcription)-PCR assays.

The proportion of patients in whom SARS-CoV-2, influenza A, influenza B and hRSV was detected.

There were 4203 patients recruited, of whom 898 (21%) were children aged under 5 years. SARS-CoV-2 was detected in 16.9% of patients, followed by influenza A, influenza B and hRSV (8.4%, 7.2% and 4.7%, respectively). 98 patients (2.3%) were diagnosed with probable co-infection, with at least two viruses detected. After May 2022, the number of cases of influenza A, influenza B and hRSV increased rapidly. Six per cent of patients (263) had a quick Sequential Organ Failure Assessment score of ≥2, and 34 (0.8%) patients died, of whom 11 tested positive for a respiratory virus.

During the COVID-19 pandemic in Laos, few respiratory viruses were detected by passive surveillance until the relaxation of non-pharmaceutical interventions implemented for infection control. After restrictions were lifted, influenza A, influenza B and hRSV emerged rapidly, showing the importance of continuous surveillance.

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.

Alzheimer’s disease (AD) impacts over 55 million individuals worldwide and remains the leading cause of dementia (60–70% of cases). By 2050, South and Southeast Asia are projected to have an older adult population more than double, bearing a major share of Alzheimer’s disease burden. This will exert a heavy strain on healthcare systems, particularly in resource-limited countries where support and infrastructure are already stretched. Despite this, no review has yet explored the regional epidemiology and associated risk factors in this context. Thus, this study protocol outlines to synthesise prevailing evidence from these densely populated regions, particularly low- and middle-income nations within South and Southeast Asia.

This review will include studies that reported epidemiological characteristics including prevalence, age of onset, mortality, and risk factors of AD and related dementias comprising in South and Southeast Asian regions. Studies published in any language from inception to date will be extracted from PubMed, Scopus, CINAHL, EMBASE and APA PsycNet, following Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) and Meta-Analysis of Observational Studies in Epidemiology (MOOSE) guidelines. We will also search grey literature sources and screen the reference lists of the articles selected for full-text review to identify additional relevant studies. Observational studies including case–control, cohort, and cross-sectional designs reporting desired outcomes will be included and appraised for quality assessment with the modified Newcastle-Ottawa Scale (mNOS). The included articles will be appraised by two independent reviewers, with a third resolving any conflicts. Pooled estimates of prevalence, age of onset and mortality will be analysed using random effect meta-analysis (REML) model. Associated risk factors, including modifiable and non-modifiable will be narratively synthesised. Forest plots will be used to visualise the findings, and heterogeneity across the included studies will be assessed using the I² and Cochrane’s Q statistics. Potential publication bias will be assessed using a funnel plot along with the Begg’s and Egger’s tests. Sensitivity and subgroup analyses will also be conducted to assess the robustness of pooled estimates and to explore potential sources of heterogeneity. Statistical analysis will be conducted using Rstudio (v.4.3.2) and GraphPad Prism V.9.0.2.

The systematic review is focused on the analysis of secondary data from published literature; thus, no ethical approval will be needed. The protocol will follow international standard guidelines, findings will be reported in a reputed journal and disseminated through (inter)national conferences, webinars and key stakeholders to inform policy, research and AD management strategies.

CRD 420251047105.