Artificial intelligence for screening and diagnosis of amyotrophic lateral sclerosis: a systematic review and meta-analysis.

INTRODUCTION: Amyotrophic lateral sclerosis (ALS) is a rare and fatal neurological disease that leads to progressive motor function degeneration. Diagnosing ALS is challenging due to the absence of a specific detection test. The use of artificial intelligence (AI) can assist in the investigation and treatment of ALS. METHODS: We searched seven databases for literature on the application of AI in the early diagnosis and screening of ALS in humans. The findings were summarized using random-effects summary receiver operating characteristic curve. The risk of bias (RoB) analysis was carried out using QUADAS-2 or QUADAS-C tools. RESULTS: In the 34 analyzed studies, a meta-prevalence of 47% for ALS was noted. For ALS detection, the pooled sensitivity of AI models was 94.3% (95% CI - 63.2% to 99.4%) with a pooled specificity of 98.9% (95% CI - 92.4% to 99.9%). For ALS classification, the pooled sensitivity of AI models was 90.9% (95% CI - 86.5% to 93.9%) with a pooled specificity of 92.3% (95% CI - 84.8% to 96.3%). Based on type of input for classification, the pooled sensitivity of AI models for gait, electromyography, and magnetic resonance signals was 91.2%, 92.6%, and 82.2%, respectively. The pooled specificity for gait, electromyography, and magnetic resonance signals was 94.1%, 96.5%, and 77.3%, respectively. CONCLUSIONS: Although AI can play a significant role in the screening and diagnosis of ALS due to its high sensitivities and specificities, concerns remain regarding quality of evidence reported in the literature.

The Association Between Obesity and Spontaneous Temporal Bone CSF Leak Outcomes: A Systematic Review and Meta-Analysis.

OBJECTIVE: We undertook a systematic review of the literature with meta-analysis to identify the role of obesity (BMI ≥30) in the patient characteristics presenting with spontaneous cerebrospinal fluid (sCSF) leaks of the lateral skull base and the outcomes of their repair. DATA SOURCES: A Systematic Review of English Articles using MEDLINE, EMBASE, and Cochrane Library. REVIEW METHODS: The research algorithm included the following keywords: "spontaneous CSF leak," "lateral skull base," "temporal bone," "meningocele," "encephalocele," and "otorrhea." We also manually searched the references of included studies, to identify possible studies missed during our literature search. RESULTS: More than two-thirds of the patients were female (69.2%) and often were obese (mean BMI 36.5 kg/m2) with a mean age of 57. Most common presenting symptoms were otorrhea and hearing loss. Most authors did not report a routine use of a post-operative lumbar drain. Most patients had a single skull base defect and encephaloceles prolapsing through, across obese and non-obese groups. Median length of stay in hospital was 3.2 days, and the majority of patients did not have any recurrence during their follow-up (89.6%), which was not affected by obesity. CONCLUSION: Obesity does not affect length of hospital stay or recurrence rate following surgical repair of lateral skull base sCSF leaks. Surgical repair is a safe and viable approach in the management of obese patients with sCSF leaks in the temporal bone. LEVEL OF EVIDENCE: NA Laryngoscope, 134:2012-2018, 2024.

The Role of Glia Telomere Dysfunction in the Pathogenesis of Central Nervous System Diseases.

Maintaining the telomere length is decisive for the viability and homeostasis process of all the cells of an organism, including human glial cells. Telomere shortening of microglial cells has been widely associated with the onset and progression of neurodegenerative diseases such as Parkinson's and Alzheimer's disease. Additionally, traumatic brain injury appears to have a positive correlation with the telomere-shortening process of microglia, and telomere length can be used as a non-invasive biomarker for the clinical management of these patients. Moreover, telomere involvement through telomerase reactivation and homologous recombination also known as the alternative lengthening of telomeres (ALT) has been described in gliomagenesis pathways, and particular focus has been given in the translational significance of these mechanisms in gliomas diagnosis and prognostic classification. Finally, glia telomere shortening is implicated in some psychiatric diseases. Given that telomere dysfunction of glial cells is involved in the central nervous system (CNS) disease pathogenesis, it represents a promising drug target that could lead to the incorporation of new tools in the medicinal arsenal for the management of so far incurable conditions.

Health worker education during the COVID-19 pandemic: global disruption, responses and lessons for the future-a systematic review and meta-analysis.

BACKGROUND: This systematic review and meta-analysis identified early evidence quantifying the disruption to the education of health workers by the COVID-19 pandemic, ensuing policy responses and their outcomes. METHODS: Following a pre-registered protocol and PRISMA/AMSTAR-2 guidelines, we systematically screened MEDLINE, EMBASE, Web of Science, CENTRAL, clinicaltrials.gov and Google Scholar from January 2020 to July 2022. We pooled proportion estimates via random-effects meta-analyses and explored subgroup differences by gender, occupational group, training stage, WHO regions/continents, and study end-year. We assessed risk of bias (Newcastle-Ottawa scale for observational studies, RοB2 for randomized controlled trials [RCT]) and rated evidence certainty using GRADE. RESULTS: Of the 171 489 publications screened, 2 249 were eligible, incorporating 2 212 observational studies and 37 RCTs, representing feedback from 1 109 818 learners and 22 204 faculty. The sample mostly consisted of undergraduates, medical doctors, and studies from institutions in Asia. Perceived training disruption was estimated at 71.1% (95% confidence interval 67.9-74.2) and learner redeployment at 29.2% (25.3-33.2). About one in three learners screened positive for anxiety (32.3%, 28.5-36.2), depression (32.0%, 27.9-36.2), burnout (38.8%, 33.4-44.3) or insomnia (30.9%, 20.8-41.9). Policy responses included shifting to online learning, innovations in assessment, COVID-19-specific courses, volunteerism, and measures for learner safety. For outcomes of policy responses, most of the literature related to perceptions and preferences. More than two-thirds of learners (75.9%, 74.2-77.7) were satisfied with online learning (postgraduates more than undergraduates), while faculty satisfaction rate was slightly lower (71.8%, 66.7-76.7). Learners preferred an in-person component: blended learning 56.0% (51.2-60.7), face-to-face 48.8% (45.4-52.1), and online-only 32.0% (29.3-34.8). They supported continuation of the virtual format as part of a blended system (68.1%, 64.6-71.5). Subgroup differences provided valuable insights despite not resolving the considerable heterogeneity. All outcomes were assessed as very-low-certainty evidence. CONCLUSION: The COVID-19 pandemic has severely disrupted health worker education, inflicting a substantial mental health burden on learners. Its impacts on career choices, volunteerism, pedagogical approaches and mental health of learners have implications for educational design, measures to protect and support learners, faculty and health workers, and workforce planning. Online learning may achieve learner satisfaction as part of a short-term solution or integrated into a blended model in the post-pandemic future.

Critical Assessment of the Guidelines-Based Management of Severe Traumatic Brain Injury with the Appraisal of Guidelines for Research and Evaluation II.

BACKGROUND: Severe traumatic brain injury constitutes a clinical entity with complex underlying pathophysiology. Management of patients with severe traumatic brain injury is guided by Clinical Practice Guidelines and Consensus Statements (CPG and CS). The published CPG and CS vary in quality, comprehensiveness, and clinical applicability. The value of critically assessing CPG and CS cannot be overemphasized. The aim of our study was to assess the quality of the published CPG and CS, based on the Appraisal of Guidelines for Research and Evaluation II instrument. METHODS: A systematic search was performed in PubMed, Scopus, Embase, and Web of Science focusing on guidelines and consensi about severe traumatic brain injury . The search terms used were "traumatic brain injury," "TBI," "brain injury," "cerebral trauma," "head trauma," "closed head injury," "head injury," "guidelines," "recommendations," "consensus" in any possible combination. The search period extended from 1964 to 2021 and was limited to literature published in English. The eligible studies were scored by 4 raters, using the Appraisal of Guidelines for Research and Evaluation II instrument. The inter-rater agreement was assessed using the Cronbach's alpha. RESULTS: Twelve CPG and CS were assessed. Overall, the study by Carney et al. was the most Appraisal of Guidelines for Research and Evaluation II compliant study. In general, the domains of clarity of presentation, and scope and purpose, achieved the highest scores. The lowest inter-rater agreement in our analysis was "fair." CONCLUSIONS: The purpose of our study for assessing the quality of CPG and CS was served. We present the strong and weak points of CPG and CS. Our findings support the idea of periodically updating guidelines and improving their rigor of development.