The Chinese neuroimmunological disease database (NIDBase) cohort was established to explore genetic and environmental risk factors, clinical features, multi-omics data and prognostic biomarkers. The aim is to enhance our understanding of central nervous system (CNS) demyelinating diseases. Additionally, the establishment of this cohort will address the critical issue of the lack of comprehensive genetic data and biological samples for precision diagnosis and treatment research related to neuroimmunological diseases in China.
56 hospitals in various regions of China were selected to participate in this study. The patients diagnosed with CNS demyelinating diseases were recruited, including clinically isolated syndrome (CIS), multiple sclerosis (MS), neuromyelitis optica spectrum disease (NMOSD), myelin oligodendrocyte glycoprotein antibody-associated disease (MOGAD) and autoimmune glial fibrillary acidic protein astrocytopathy (GFAP-A).
At the time of patient enrolment, the clinical information is designated as baseline data. The collected baseline data include demographic information, disease history, clinical features of each demyelinating event, treatment records, standardised scales, questionnaire assessments and laboratory test results. Furthermore, biological samples, MRI and high-density electroencephalography (hd-EEG) data will be collected at baseline. All patients will be followed up at 3 months and 6 months and annually thereafter. As of December 2024, 3866 patients with CNS demyelinating diseases have been enrolled, including 84 CIS, 282 MOGAD, 1405 MS and 2095 NMOSD. Our findings indicate that CNS demyelinating diseases, particularly NMOSD, are more prevalent in women in China, with significant age differences observed among NMOSD patients compared with those with CIS, MS and MOGAD.
In future, all patients in our cohort will be followed up at 3 months and 6 months and then annually. By the end of December 2024, the database has been locked and is now being processed and analysed, while our data continue to be updated and expanded for further analysis. Both prospective and retrospective observations will be included in this study. Subsequent publications will emerge from this multicentre cohort, encompassing genomics, clinical cohort studies, hd-EEG biomarkers, imaging-based radiomics and electrical stimulation therapies.
By adopting the shared decision-making (SDM) model, this study aims to improve treatment adherence and patients’ subjective initiative. It intends to systematically explore the barriers and facilitating conditions for patients who had a stroke to participate in rehabilitation SDM through the analysis and integration of qualitative research methods. The ultimate goal is to provide a basis for optimising the formulation of rehabilitation plans, enhancing the quality of nursing services and improving patients’ medical experience.
The following databases were searched, with only literatures published in English or Chinese included: Cochrane Library, PubMed, Embase, Scopus, Web of Science, CNKI (China National Knowledge Infrastructure), CBM (Chinese Biomedical Literature Database) and Wanfang Database. The search covered the period from the establishment of each database to 1 March 2025. The quality of the included literatures was evaluated using the Qualitative Research Quality Assessment Tool provided by the Joanna Briggs Institute in 2016, with a focus on factors affecting participation of patients who had a stroke in rehabilitation SDM.
A total of 1502 articles were retrieved in the preliminary search, and 10 were finally included. From these included literatures, 31 findings were extracted. Similar results were categorised and grouped into 10 new categories, which were further integrated into 3 core integrated findings: (1) patient-related factors, including interference from negative emotions, the gap between rehabilitation expectations and reality, the impact of socio-demographic factors and self-efficacy with stage-specific autonomous needs; (2) family-related factors, including family support, the impact of patients’ sense of responsibility to their families on decision choices and trade-offs forced by economic burden; (3) healthcare provider and environmental factors, including paternalistic models undermining autonomy, insufficient information and difficulty in screening hindering decision-making and discontinuity in the rehabilitation system and lack of resources increasing decision-making burden.
Through the meta-synthesis of qualitative studies, this research shows that negative emotions and realistic gaps reduce patients’ participation in decision-making. While family support helps enhance patients’ confidence in decision-making, economic burden affects their decision choices. Additionally, one-way doctor–patient communication, insufficient information support and discontinuity in the rehabilitation service system increase patients’ decision-making burden.
This study assessed whether a previously developed Monte Carlo simulation model can be reused for evaluating various strategies to minimise time-to-treatment in southwest Netherlands for endovascular thrombectomy (EVT) in patients who had an ischaemic stroke.
Reuse of a previously developed simulation model to simulate various strategies in another region, using prospectively collected data from stroke centres and retrospective data from emergency medical services.
Data from 509 patients who had an ischaemic stroke (≥18 years) treated with EVT (2014–2018) were used.
Input for the simulation model reuse included distributions of observed time delays along the acute stroke pathway. Validation of the baseline models was based on face validity and statistical measures (patient data vs model output) using the Assessment of the Validation Status of Health Economic decision models tool. We simulated strategies for a subregion: interhospital patient transfer by helicopter, transport of the neurointerventionalist to the primary stroke centre (‘drive-the-doctor’), interhospital patient transfer to a thrombectomy-capable stroke centre (TSC) outside the region and prehospital triage using the Rapid Arterial Occlusion Evaluation (RACE) scale.
Onset-to-groin time was the outcome.
Reuse of the original simulation model was obtained by minimal effort, implying limited adaptation. Compared with the baseline model, interhospital patient transfer by helicopter or to a TSC outside the region and prehospital routing using the RACE scale reduced mean onset-to-groin time by 16, 13 and 39 min, respectively (95% CrI for all: equal to the point estimate). ‘Drive the doctor’ reduced mean onset-to-groin time by 27 (car), 49 (ambulance) or 58 min (helicopter), each with a 95% CrI equal to the point estimate.
The original simulation model can be applied to different regions in the Netherlands. Strategies tested within the subregion resulted in promising results of ‘drive the doctor’ and prehospital patient routing using the RACE scale.
Parkinson’s disease (PD) is a common neurodegenerative disease, which has extensive pathology that critically includes the loss of midbrain dopaminergic neurons. This loss leads to debilitating motor features such as bradykinesia and rigidity, as well as some non-motor symptoms. Intracerebral dopamine cell transplants have been explored for many years as a new approach to treating PD and initially used human fetal ventral mesencephalic tissue with inconsistent results, related in part to major logistical challenges in sourcing enough tissue of the right quality and the limited possibilities for quality control and standardisation. Dopaminergic neurons can now be derived reliably from human stem cell sources, which may overcome some of the challenges associated with fetal tissue transplantations.
STEM-PD is a multi-centre, single-arm, dose-escalation, first-in-human advanced therapy investigational medicinal product (ATIMP) trial in Europe using a cell product that consists of dopaminergic neural progenitors derived from the RC17 human embryonic stem cell line. The aim of the study is to assess the safety, tolerability and feasibility of intraputamenal transplantation of this cell product in patients with moderately advanced PD. Eight participants will be recruited from two sites, Skånes University Hospital (Lund, Sweden) and Cambridge University Hospital (Cambridge, UK). The primary outcome of the trial is safety and tolerability, assessed by the number and nature of adverse events and serious adverse events, and the absence of space-occupying lesions on cranial MRI, in the first 12 months following transplantation. Secondary and exploratory outcomes, including clinical measures, changes in anti-Parkinson’s medication and measures of graft survival using positron emission tomography imaging, will be assessed at both 12 and 36 months post-grafting.
Ethical approval was obtained from the Swedish Ethical Review Authority (EPM dnr 2021-06945-01) and South Central - Oxford A Research Ethics Committee (reference 23/SC/0243). Clinical Trial Authorisation was given by the Swedish Medical Products Agency (Dnr: 5.1-2022-57953) and the Medicines and Healthcare products Regulatory Agency for clinical trials authorisation (reference CTA 40773/0001/001-0001). Authorisation for transfer to Clinical Trial Regulation (EU) 536/2014 was given by the Swedish Medical Products Agency (Dnr: 5.1.1-2024-100773). Potential participants will receive verbal and written information about the trial and written informed consent will be obtained prior to enrolment. A lay summary of the results of the trial will be uploaded to the trial website which is publicly accessible. Trial results will be published in peer-reviewed journals.
Parkinson’s disease (PD) is a neurodegenerative disorder characterised by heterogeneous motor symptoms, non-motor symptoms and rates of disease progression; phenotype and prognosis vary by individual. Although researchers have attempted to predict clinical outcomes using biomarkers and other variables, there are limited data on the development, validation and clinical utility of multivariable prediction models for individual prognostication in PD. In this protocol, we will develop a method for identifying, reviewing and appraising existing PD prognostic models in order to summarise the current literature, identify knowledge gaps and inform future research.
This scoping review will be guided by the methodological principles outlined in the Preferred Reporting Items for Systematic Review and Meta-Analysis extension for Scoping Reviews. We will include all multivariable models that predict disease progression in individuals with PD using traditional statistical methods or machine learning. We will exclude models that only report performance measures for one variable (ie, univariable models) or only provide effect estimates (eg, OR, HR). A detailed search of peer-reviewed research publications will be performed through 2025 using the following electronic databases: PubMed, EMBASE, Web of Science and Scopus. Article data will be extracted using Covidence. Two independent reviewers will screen articles by title and abstract for relevance, and a third reviewer will resolve any discrepancies. The remaining full-text articles will also be screened by two independent reviewers, and a third reviewer will resolve any discrepancies. Results from multivariable prediction models meeting inclusion criteria will be summarised using narrative synthesis and organised by clinical outcome. Models will also be appraised using Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis + Artificial Intelligence (TRIPOD+AI) and Prediction model Risk Of Bias ASsessment Tool (PROBAST) guidelines to identify deficiencies and areas of future study.
Ethical approval is not required for this scoping review. Findings will help clinicians make evidence-based decisions to improve prognostication in PD. Findings can also be used to inform the development and validation of additional multivariable clinical prediction models in PD. The results of this scoping review will be disseminated through peer-reviewed publications, research reports and presentations at relevant conferences.
For people whose stroke risk would be reduced by taking a long-term oral anticoagulant (OAC), it is important to implement effective strategies to support medication initiation, adherence and persistence. To do this, a better understanding of the factors associated with implementation of interventions to optimise OAC management is needed.
This scoping review aimed to summarise the evidence-based characteristics associated with implementing interventions designed to optimise long-term OAC adherence.
Primary research (published post-2000) evaluating any intervention designed to optimise implementation of long-term OAC for stroke prevention by way of change in OAC services, staff or patient behaviour.
Five databases (MEDLINE, Embase, Cumulative Index to Nursing and Allied Health Literature (CINAHL), PsycInfo, Cochrane Library) were searched from 1 January 2000 to 4 August 2023 using a combination of terms relating to population, intervention and study design.
Titles/abstracts were screened by at least one reviewer. Data from each full text were abstracted (with 20% double-checked for accuracy) and its implementation content reviewed, guided by the Expert Recommendations for Implementing Change strategies.
216 studies were included, with varying descriptive reporting of implementation strategies, and only 61 (28%) self-identifying as an implementation study. The median number of implementation strategies used was three, with recently published studies (2015 onwards), those including patients receiving either direct OACs (DOACs) or vitamin K antagonists (VKAs) and those including multiple intervention targets (service, staff or patients) associated with using more implementation strategies. ‘Train and educate stakeholders’ strategies were the most commonly used, and ‘Adapt and tailor to the context’ strategies were the least used by included studies. Conversely, self-defined implementation studies were less likely to use ‘Train and educate stakeholders’ strategies, although they were positively associated with use of ‘Adapt and tailor to the context’. ‘Use evaluative & iterative’ strategies were used more frequently in studies where patients used either VKAs or DOACs, or were published more recently.
Studies need to self-define as implementation studies, improve implementation strategy reporting and be transparently registered, alongside conducting process evaluations or more richly describing implementation processes. Future research could explore why some implementation strategies are used more than others and whether aligning strategy clusters with intervention targets results in clinically significant differences in patient care.
Spinal cord injury (SCI) results in debilitating sensory, functional deficits and paralysis requiring neurorehabilitation solutions. In this regard, focal muscle vibration (FMV) is an emerging neuro-rehabilitation tool that uses mechanical vibration on muscles/tendons to stimulate underlying nerves and consequently modulate neural pathways. We conducted a systematic review to understand the exact effectiveness of FMVs on the sensorimotor function and mobility/strength in the SCI population.
Systematic review using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) approach.
PEDro, Springer, PubMed, Science Direct, Cochrane Library and Google Scholar were searched through 15 February 2025.
We included studies adhering to the following population–intervention–comparison–outcomes (PICO) elements. Population: SCI, intervention: FMV, comparison: unexposed controls, outcome: either of sensorimotor function or mobility and strength.
Two independent reviewers used standardised methods to search, screen and code included studies. Risk of bias was assessed using the Risk Of Bias In Non-randomised Studies - of Interventions (ROBINS-I) scale. Findings were summarised and a narrative synthesis is provided.
25 studies were included. 9 studies used FMV in the upper limb and 14 in the lower limb. The analysis includes 427 patients with SCI, with a focus on male, chronic SCI cases and a prevalence of North American studies.
Our systematic review of 25 studies, with 21 (84%) reporting positive outcomes, suggests that FMV may improve sensory perception, motor function, mobility and strength in individuals with SCIs, with benefits observed in both limbs. However, substantial heterogeneity in FMV parameters, study designs, participant characteristics and the high prevalence of serious/critical risk of bias (13/25 studies, 52%) limit definitive conclusions. Further research with optimised protocols, larger sample sizes and longitudinal designs is needed to confirm efficacy and establish clinical guidelines.
Atrial fibrillation (AF) is the leading cause of cardioembolic stroke and is associated with increased stroke severity and fatality. Early identification of AF is essential for adequate secondary prevention but remains challenging due to its often asymptomatic or paroxysmal occurrence. Artificial intelligence (AI) offers new possibilities by integrating biomarkers, clinical phenotypes, established risk factors and imaging features to define a personalised ‘digital twin’ model. The TAILOR study aims to (1) examine prospective detection of AF using monitoring devices, (2) investigate novel prognostic MRI markers in patients with an AF-related stroke (AFRS) and (3) validate AI-based models for outcome prediction in AFRS.
This prospective multicentre observational cohort study includes patients aged 40 years and above, with neuroimaging-confirmed diagnosis of ischaemic stroke, recruited from two sites: Hospital del Mar Barcelona (Spain) and Radboud University Medical Centre (The Netherlands). For the first sub-study (n=300), patients will undergo clinical assessment at baseline, 3 months and 12 months, and patch-based or Holter cardiac monitoring. The second sub-study (n=200) involves repeated brain MRI and cognitive examination after AFRS. Finally, AI-driven ‘digital twin’ models developed on retrospective TARGET datasets will be prospectively evaluated in TAILOR using temporal and centre-stratified analyses for advanced predictive tools for AF and AFRS outcomes.
The TAILOR study was approved by local ethics boards in Barcelona (CPMP/ICH/135/95) and Medical Research Ethics Committee Oost-Nederland (NL86346.091.24). Patients will be included after providing informed consent. Study results will be presented in peer-reviewed journals and at global conferences.
Accumulating evidence suggests that glucagon-like peptide-1 (GLP-1) receptor agonists may have therapeutic effects against Parkinson’s disease (PD); however, clinical evidence has not yet been established and remains controversial. This clinical study aims to assess the efficacy, disease-modifying effects, safety and optimal dose of oral semaglutide tablets, a GLP-1 receptor agonist, in idiopathic patients with PD.
The MOST-ABLE study is a phase 2, multicentre, double-blind, randomised, placebo-controlled trial of oral semaglutide tablets in 99 participants with PD. Patients with PD (Hoehn & Yahr stages 1–2.5) at eight sites in Japan will be randomly assigned in a 1:1:1 ratio to one of three groups: oral semaglutide tablets (7 mg or 14 mg) or placebo. The study drugs will be administered once daily as an add-on to conventional medical treatment for PD. After 36 weeks of treatment, the participants will be treated without the study drugs for 12 weeks. The efficacy outcomes include Movement Disorder Society-Unified Parkinson’s Disease Rating Scale (MDS-UPDRS), Parkinson’s Disease Questionnaire-39, cognitive tests and dopamine transporter imaging. The primary endpoint is the change in the MDS-UPDRS part 3 score in the practically defined off-medication state from baseline at 48 weeks between the treatment allocation groups. The safety and tolerability will also be evaluated.
The study protocol was approved by the Pharmaceuticals and Medical Devices Agency of Japan and the study was approved by the institutional review boards at the University of Osaka Hospital and each study site. All participants are required to provide informed consent. The results will be disseminated in peer-reviewed journals, presented at scientific meetings and presented to patients in a lay summary format.
jRCT2051230090 (https://jrct.mhlw.go.jp/latest-detail/jRCT2051230090), universal trial number U1111-1271-3794.
Long-term brain health profiles following exposure to repetitive head impacts and/or concussions in contact sports are a public health focus and the subject of a national debate. The true prevalence rates of mild cognitive impairment (MCI) or neurobehavioural dysregulation are unknown in the nearly 20 000 current/living former professional football players. Here, we describe the procedures and methodology of the prevalence study of cognitive function in former professional football players from the Brain Health Initiative at the University of Pittsburgh. The objective is to define the prevalence of normal cognitive function versus neurodegeneration in former professional football players through clinical, neuroimaging and biomarker assessments.
Participants include former professional football players aged 29–59 years at study onset who played a minimum of three professional football games in three professional seasons and non-exposed controls. Participants are recruited by two mechanisms, a random and non-random sample. The full study protocol includes a 3–4-day, multidomain assessment (eg, neurological, neurocognitive, psychiatric, sleep, vestibular, orthopaedic and cardiovascular) for neurodegenerative disease and overall health and function, including MRI, positron emission tomography scans, analysis of blood plasma and cerebrospinal fluid, neurocognitive assessments, applanation tonometry, overnight sleep study and informant interview. A multidisciplinary clinical panel conducts a blinded diagnostic consensus conference to adjudicate the presence of MCI and/or traumatic encephalopathy syndrome, which serve as the study’s primary and secondary outcomes, respectively. Point prevalence of these for both the exposed and unexposed cohorts will be calculated as the primary statistical analysis.
The University of Pittsburgh Institutional Review Board approved the study prior to recruiting human subjects (protocol numbers STUDY19010008: sIRB - Brain Health Initiative (Part 1) and STUDY19030211: sIRB - Brain Health Initiative (Part 2)). The results will be disseminated in peer-reviewed journals and as presentations at national and international scientific conferences.
This article outlines the research protocol for a multicentre, randomised, controlled study designed to evaluate the therapeutic effect of a modified olfactory training (MOT) based on bi-directional nasal drug delivery system for patients with postinfectious olfactory dysfunction (PIOD), and to compare its efficacy with conventional olfactory training (COT).
This is a multicentre study in which patients will be recruited from several participating hospitals. Patients will be divided into three groups: COT group using COT device, MOT group using MOT device, Control group without any intervention other than follow-up. The olfactory training (OT) intervention will last for 12 months. The primary outcome will be the improvement in olfactory ability from baseline measurement to the end of intervention or control period, evaluated through the total Threshold, Discrimination, Identification (TDI) score of the Sniffin’ Stick test. Secondary outcomes will be changes in olfactory bulb volume and shape, olfactory-related brain area volume, olfactory and trigeminal nerve-related potentials, and subjective assessments.
This study protocol has been registered with ClinicalTrials.gov. The Peking University Third Hospital Medical Science Research Ethics Committee reviewed and approved this study protocol. The results will be published in BMJ Open.
Frontotemporal dementia (FTD) remains challenging to diagnose owing to the marked clinical heterogeneity associated with the disease. This heterogeneity stems from the complex interplay of various clinical phenotypes, genetic mutations and underlying neuropathologies, such as TDP-43 and tau proteinopathies. Currently, there is no single confirmed biomarker that can reliably diagnose disease, specifically disease stage, disease subtype and underlying neuropathology. Recent research has indicated that neuroimaging techniques hold the most promise for the discovery of FTD biomarkers. We propose a protocol for a systematic review and meta-analysis to identify MRI and fluorodeoxyglucose positron emission tomography (FDG-PET) biomarkers associated with clinical, genetic and pathological subtypes of FTD. We aim to address the following research questions: can regional MRI volumetry and FDG-PET hypometabolism differentiate (1) FTD patients from healthy controls; (2) sporadic cases of FTD from healthy controls; (3) genetic cases of FTD (MAPT, GRN, and C9orf72 mutations); and (4) underlying neuropathology, specifically discriminating between tau- and TDP-43-based FTD?
Literature searches will be performed across three databases: Ovid Medline, Ovid Embase and Web of Science. Publications that have fewer than five participants, are non-human-based, not written in the English language or contain unpublished data will be excluded. Two independent investigators will screen and subsequently evaluate which publications to include. Should any disagreements arise, a third investigator will settle the discrepancy. After the random-effects meta-analysis has been used to extract and pool the data, I2 analysis will be used to quantify heterogeneity.
Ethics approval will not be required for this research. On completion, the systematic review and meta-analysis will be published in a peer-reviewed journal.
CRD42024545302.
Encephalitis is brain parenchyma inflammation, frequently resulting in seizures which worsens outcomes. Early anti-seizure medication could improve outcomes but requires identifying patients at greatest risk of acute seizures. The SEIZURE (SEIZUre Risk in Encephalitis) score was developed in UK cohorts to stratify patients by acute seizure risk. A ‘basic score’ used Glasgow Coma Scale (GCS), fever and age; the ‘advanced score’ added aetiology. This study aimed to evaluate the score internationally to determine its global applicability.
Patients were retrospectively analysed regionally, and by country, in this international evaluation study. Univariate analysis was conducted between patients who did and did not have inpatient seizures, followed by multivariable logistic regression, hierarchical clustering and analysis of the area under the receiver operating curves (AUROC) with 95% CIs.
2032 patients across 13 countries were identified, among whom 1324 were included in SEIZURE score calculations and 970 were included in regression modelling. The involved countries comprised 19 organisations spanning all WHO regions.
The primary outcome was measuring inpatient seizure rates.
Autoantibody-associated encephalitis, low GCS and presenting with a seizure were frequently associated with inpatient seizures; fever showed no association. Globally, the score had limited discriminatory ability (basic AUROC 0.58 (95% CI 0.55 to 0.62), advanced AUROC 0.63 (95% CI 0.60 to 0.66)). The scoring system performed acceptably in western Europe, excluding Spain, with the best performance in Portugal (basic AUROC 0.82 (95% CI 0.69 to 0.94), advanced AUROC 0.83 (95% CI 0.72 to 0.95)).
The SEIZURE score performed best in several countries in Western Europe but performed poorly elsewhere, partly due to differing and unknown aetiologies. In most regions, the score did not reach a threshold to be clinically useful. The Western European results could aid in designing clinical trials assessing primary anti-seizure prophylaxis in encephalitis following further prospective trials. Beyond Western Europe, there is a need for tailored, localised scoring systems and future large-scale prospective studies with optimised aetiological testing to accurately identify high-risk patients.
Neurodegenerative disorders (NDDs) represent an unprecedented public health burden. These disorders are clinically heterogeneous and therapeutically challenging, but advances in discovery science and trial methodology offer hope for translation to new treatments. Against this background, there is an urgent unmet need for biomarkers to aid with early and accurate diagnosis, prognosis and monitoring throughout the care pathway and in clinical trials.
Investigations routinely used in clinical care and trials are often invasive, expensive, time-consuming, subjective and ordinal. Speech data represent a potentially scalable, non-invasive, objective and quantifiable digital biomarker that can be acquired remotely and cost-efficiently using mobile devices, and analysed using state-of-the-art speech signal processing and machine learning approaches. This prospective case–control observational study of multiple NDDs aims to deliver a deeply clinically phenotyped longitudinal speech dataset to facilitate development and evaluation of speech biomarkers.
People living with dementia, motor neuron disease, multiple sclerosis and Parkinson’s disease are eligible to participate. Healthy individuals (including relatives or carers of participants with neurological disease) are also eligible to participate as controls. Participants complete a study app with standardised speech recording tasks (including reading, free speech, picture description and verbal fluency tasks) and patient-reported outcome measures of quality of life and mood (EuroQol-5 Dimension-5 Level, Patient Health Questionnaire 2) every 2 months at home or in clinic. Participants also complete disease severity scales, cognitive screening tests and provide optional samples for blood-based biomarkers at baseline and then 6-monthly. Follow-up is scheduled for up to 24 months. Initially, 30 participants will be recruited to each group. Speech recordings and contemporaneous clinical data will be used to create a dataset for development and evaluation of novel speech-based diagnosis and monitoring algorithms.
Digital App for Speech and Health Monitoring Study was approved by the South Central—Hampshire B Ethics Committee (REC ref. 24/SC/0067), NHS Lothian (R&D ref. 2024/0034) and NHS Forth Valley (R&D ref. FV1494). Results of the study will be submitted for publication in peer-reviewed journals and conferences. Data from the study will be shared with other researchers and used to facilitate speech processing challenges for neurological disorders. Regular updates will be provided on the Anne Rowling Regenerative Neurology Clinic web page and social media platforms.
ClinicalTrials.gov NCT06450418 (pre-results).
Telerehabilitation (TR) programmes are increasingly recognised for their feasibility and potential benefits, such as eliminating travel time, reducing costs and providing a more comfortable rehabilitation experience at home. However, the comparative efficacy of remote physiotherapy compared with traditional in-person sessions for individuals with Parkinson’s disease (PD) remains uncertain. This study aims to evaluate the effects of TR compared with in-person physiotherapy in individuals with PD, focusing on both motor and non-motor outcomes.
This is a randomised, single-blind clinical trial with a mixed-methods approach. A total of 22 individuals diagnosed with PD will be randomly assigned to one of two groups. The experimental group will receive TR, consisting of remote physiotherapy sessions conducted once a week for 1 hour over a 4-month period. The control group will receive the same interventions in person. Interventions will include global muscle strengthening exercises, balance training, gait and motor coordination exercises, and cognitive training. The primary outcome will be motor function, measured using part III of the Movement Disorder Society–Unified Parkinson’s Disease Rating Scale. Secondary outcomes will include cognition (Montreal Cognitive Assessment), gait (Functional Gait Assessment), mobility (Timed Up and Go Test) and quality of life (Parkinson’s Disease Questionnaire). Data will be analysed using repeated measures analysis of variance to compare outcomes between groups across four assessment points (baseline, midpoint, postintervention and 2 months follow-up). Additionally, a qualitative phase will explore participants’ perceptions and experiences regarding TR and in-person interventions, with assessments carried out 2 months after the completion of the 24-week interventions, through semistructured interviews that will be analysed using Bardin’s Content Analysis technique.
This protocol was approved by the Research Ethics Committee of the Federal University of Rio Grande do Norte (approval number: 5.553.701). All participants will provide written informed consent before inclusion. Results will be disseminated through peer-reviewed publications, scientific conferences and communication with participants and healthcare professionals.
RBR-6h5knrj.
People with epilepsy are at higher risk for hypertension, diabetes, hyperlipidaemia and obesity than the US general population. It is unknown whether these risk factors translate to increased cardiovascular mortality compared with the US general population.
To examine changes in the proportions of deaths due to cardiovascular causes among people with epilepsy in the USA.
Cardiovascular mortality among people with epilepsy is rising in the USA compared with the general population over the period from 2000 to 2019.
Retrospective, longitudinal US population study of all deaths among people with epilepsy due to cardiovascular causes compared with the US general population for the years 2000 through 2019. Source data were obtained from the Centers for Disease Control and Prevention (CDC) Multiple Cause of Death Database using all International Statistical Classification of Diseases and Related Health Problems, 10th Revision (ICD-10) codes for epilepsy (specifically all ICD-10 codes G40.0 through G40.919). The use of administrative datasets, like the CDC Multiple Cause Of Death Database, is a validated method that effectively captures US epilepsy mortality when using the ICD-10 codes G40.0–G40.9. Cardiovascular deaths were operationally defined as ischaemic heart disease, cerebrovascular disease, diabetes and hypertension. Data were stratified by age, race and gender. Relative proportions of each cause of death were expressed as a percentage of total deaths and evaluated on the log-odds scale using a logistic regression model. Standardised proportions were also used and reported.
Within-group and between-group differences in the rate/proportions of deaths due to cerebrovascular disease, ischaemic heart disease, diabetes and hypertension among people with epilepsy and the general population over a 20-year period.
US epilepsy and general populations.
Age-adjusted mortality for cerebrovascular disease and diabetes increased significantly among people with epilepsy compared with the US general population over the 20-year period (p
Age-standardised proportions of deaths attributed to cerebrovascular disease and diabetes increased significantly among people with epilepsy from 2000 to 2019. Age-stratified proportions of deaths due to cerebrovascular disease and diabetes occurred primarily in the 35–64-year age range. The long decline in the proportions of deaths due to ischaemic heart disease among people with epilepsy ended after 2011, despite continuing to decline in the general population. The increase in proportions of cardiovascular deaths among people with epilepsy is likely due to higher cardiovascular risk factors compared with the general US population. Increased surveillance and treatment of cardiovascular risk factors among people with epilepsy are indicated, especially in the critical 35–64-year age group, where improved primary prevention may reduce cardiovascular risk and mortality.
To assess the comparative effectiveness of educational interventions in neurological disease for healthcare workers and students.
Systematic review.
Medline, Embase and Cochrane through to 1 June 2025.
Studies evaluating neurological disease educational interventions with a comparator group (observational cohort/randomised controlled trial (RCT)) were included.
A Preferred Reporting Items for Systematic Reviews and Meta-Analyses-compliant systematic review was conducted (PROSPERO: CRD42023461838). Knowledge acquisition and educational methodologies were collected from each study. Study outcomes were classified using the Kirkpatrick and Kirkpatrick four-level model (learner reaction, knowledge acquisition, behavioural change, clinical outcome).1 Risk of bias was assessed using the Newcastle-Ottawa scale for non-randomised studies and the Cochrane Risk of Bias tool for RCTs.2 3
A total of 67 studies involving 4728 participants were included. Of these, 36 were RCTs, and 31 were observational studies. Virtual interventions were the most common (67.2%, n=45 studies), primarily targeting either medical students (46.3%, n=31 studies) or specialists (40.3%, n=27 studies). Overall, 70.1% (n=47) of studies demonstrated outcomes in favour of the intervention. However, few studies used K&K level 3/4 outcomes, with two studies evaluating behaviour change (level 3) and three assessing clinical outcomes (level 4 combined with other levels). No study exclusively assessed level 4 outcomes. Meta-analysis of 22 RCTs with calculable standardised mean differences (SMDs) (n=1748) showed a significant benefit of interventions (SMD 0.75, 95% CI 0.22 to 1.27, p=0.0056).
This review highlights a growing body of research particularly focusing on virtual techniques, specialist audiences and treatment-oriented content. Few studies assessed changes in practice or patient care. Non-specialists remain underrepresented. Future studies should prioritise assessing the clinical impact of educational interventions within non-specialist audiences.
This project explores the feasibility of setting up a neuropsychiatric de-identified database (DiD) and a Research Register (RR) to collect, analyse, monitor and systematically report clinical data for people with intellectual disabilities (PwIDs) and epilepsy.
A multicentre project designed to collect de-identified data from clinical records at three adult ID specialist services in England and Wales and to develop an RR of PwID and epilepsy. Patients added to the DiD will be identified from patient clinic lists, clinic letters, in-house databases and electronic systems. Patients to be added to the RR will also be identified through attendance for regular review at clinic appointments. The collected data will be entered into the Research Electronic Data Capture (REDCap) database. Personal details of PwID and their consultees will also be collected from participants who consent to be on the RR. Around 600 PwID and epilepsy (200 per site) will be added to the DiD at the three sites, while around 45–60 participants (15–20 per site) are anticipated to be added to the RR. Data analysis will involve using descriptive statistics to summarise feasibility outcomes, such as screening and recruitment rates, as well as the completeness of the collected data. The characteristics of the participants (demographic, ID classification, clinical, epilepsy history and antiseizure medication) will be summarised descriptively. Progression will be assessed using the Red/Amber/Green stop-go criteria to determine if a national register should be created.
Ethical approval (24/NW/0210) has been obtained from the Northwest-Haydock Research Ethics Committee and the University of Plymouth Faculty Research Ethics and Integrity Committee (reference no. 5284). The project is funded by Jazz Pharmaceuticals as an independent investigator-initiated support grant and, as such, has received independent peer review.
This study aims to review case reports/series on West Nile virus (WNV) infection-associated cranial nerve (CN) neuropathy to explore the associated patterns and characteristics.
A systematic review was conducted in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses criteria.
We reviewed the literature in PubMed/Medline, Google Scholar and ScienceDirect databases to retrieve relevant case reports.
Case reports published in the past 25 years on CN neuropathy in WNV-infected patients, with no language or geographic restrictions.
Retrieved data included patient demographics, disease presentation and treatment outcomes. Descriptive statistical analyses were performed to describe frequency and characteristics of CN neuropathies. Cross tabulation was performed to calculate statistical significance of association between patient characteristics, disease factors and treatment outcomes. Risk of bias was assessed using the JBI Critical Appraisal Tool for case reports.
A total of 30 case reports satisfied inclusion criteria. These studies described 42 cases that developed CN neuropathies as an outcome of WNV infection. Patients were in the main males (54.8%) and had a mean age of 52.5±15.5 years. The most frequently affected CNs were, in descending order, optic (n=21, 50.0%), facial (n=14, 33.3%) and abducent nerves (n=8, 19.0%). Age was significantly associated with optic nerve neuropathy (≥51 years) and facial palsy (
CN neuropathy represents an important subset of neuroinvasive disease caused by WNV. There is a slight male preponderance among the patient population who are mostly middle aged. Optic and facial nerves are mostly affected. Most patients show complete recovery, particularly in the absence of chronic diseases. The role of systemic antivirals in improving disease outcomes should be further investigated. Early detection of CN neuropathies is recommended by routine CN screening and use of specific tools such as MRI and neurophysiological tests.
Stroke is a leading cause of death and disability in the Caribbean, yet there is limited published information on the availability and utilisation of diagnostic imaging and treatment methods. Inequities in healthcare infrastructure, access to neuroimaging and acute treatment options may contribute to poorer outcomes following stroke, particularly in the low-resource settings that characterise most of the Caribbean region. The objective of this review is to map the literature on access to diagnostic and therapeutic modalities for adult stroke care in the Caribbean to identify potential limitations in acute treatment and examine how restricted access may impact outcomes. The resulting data can help inform strategies for improving access to stroke care in resource-limited communities.
We will apply a three-step strategy based on the Joanna Briggs Institute methodological framework: first, a limited search to identify relevant articles; second, selection of key search terms; third, implementation into a comprehensive search strategy. The query will range from 1 January 1995 to 1 June 2025 (date of final search). Search results will be extracted and screened by two independent reviewers, and findings will be presented in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews guidelines. We will consider studies focusing on ischaemic and haemorrhagic stroke in the Caribbean, emphasising access to diagnostic imaging, stroke centres, prehospital management and emergent treatment. Studies examining acute stroke management capacity within the region will be considered. Studies will be excluded if they: focus exclusively on primary stroke prevention, postacute care, longitudinal care pathways for stroke victims or paediatric populations; are unrelated to stroke diagnosis or treatment or are conducted outside the Caribbean.
This protocol aims to perform secondary analysis of previously published literature; therefore, ethical approval is not required. The results of this review will be disseminated through academic conferences and peer-reviewed publication.