Computerized cognitive training for memory functions in mild cognitive impairment or dementia: a systematic review and meta-analysis.

Dementia is a common medical condition in the ageing population, and cognitive intervention is a non-pharmacologic strategy to improve cognitive functions. This meta-analysis evaluated the benefits of computerized cognitive training (CCT) on memory functions in individuals with MCI or dementia. The study was registered prospectively with PROSPERO under CRD42022363715 and received no funding. The search was conducted on MEDLINE, Embase, and PsycINFO on Sept 19, 2022, and Google Scholar on May 9, 2023, to identify randomized controlled trials that examined the effects of CCT on memory outcomes in individuals with MCI or dementia. Mean differences and standard deviations of neuropsychological assessment scores were extracted to derive standardized mean differences. Our search identified 10,678 studies, of which 35 studies were included. Among 1489 participants with MCI, CCT showed improvements in verbal memory (SMD (95%CI) = 0.55 (0.35-0.74)), visual memory (0.36 (0.12-0.60)), and working memory (0.37 (0.10-0.64)). Supervised CCT showed improvements in verbal memory (0.72 (0.45-0.98)), visual memory (0.51 (0.22-0.79)), and working memory (0.33 (0.01-0.66)). Unsupervised CCT showed improvement in verbal memory (0.21 (0.04-0.38)) only. Among 371 participants with dementia, CCT showed improvement in verbal memory (0.64 (0.02-1.27)) only. Inconsistency due to heterogeneity (as indicated by I2 values) is observed, which reduces our confidence in MCI outcomes to a moderate level and dementia outcomes to a low level. The results suggest that CCT is efficacious on various memory domains in individuals with MCI. Although the supervised approach showed greater effects, the unsupervised approach can improve verbal memory while allowing users to receive CCT at home without engaging as many healthcare resources.

Use of probiotics, prebiotics, and synbiotics in non-alcoholic fatty liver disease: A systematic review and meta-analysis.

BACKGROUND AND AIM: Patients with non-alcoholic fatty liver disease (NAFLD) exhibit compositional changes in their gut microbiome, which represents a potential therapeutic target. Probiotics, prebiotics, and synbiotics are microbiome-targeted therapies that have been proposed as treatment for NAFLD. We aim to systematically review the effects of these therapies in liver-related outcomes of NAFLD patients. METHODS: We conducted a systematic search in Embase (Ovid), Medline (Ovid), Scopus, Cochrane, and EBSCOhost from inception to August 19, 2022. We included randomized controlled trials (RCTs) that treated NAFLD patients with prebiotics and/or probiotics. We meta-analyzed the outcomes using standardized mean difference (SMD) and assessed study heterogeneity using Cochran's Q test and I2 statistics. Risk of bias was assessed using the Cochrane Risk-of-Bias 2 tool. RESULTS: A total of 41 (18 probiotics, 17 synbiotics, and 6 prebiotics) RCTs were included. Pooled data demonstrated that the intervention had significantly improved liver steatosis (measured by ultrasound grading) (SMD: 4.87; 95% confidence interval [CI]: 3.27, 7.25), fibrosis (SMD: -0.61 kPa; 95% CI: -1.12, -0.09 kPa), and liver enzymes including alanine transaminase (SMD: -0.86 U/L; 95% CI: -1.16, -0.56 U/L), aspartate transaminase (SMD: -0.87 U/L; 95% CI: -1.22, -0.52 U/L), and gamma-glutamyl transferase (SMD: -0.77 U/L; 95% CI: -1.26, -0.29 U/L). CONCLUSIONS: Microbiome-targeted therapies were associated with significant improvements in liver-related outcomes in NAFLD patients. Nevertheless, limitations in existing literature like heterogeneity in probiotic strains, dosage, and formulation undermine our findings. This study was registered with PROSPERO (CRD42022354562) and supported by the Nanyang Technological University Start-up Grant and Wang Lee Wah Memorial Fund.

A comparison of sleep-wake patterns among school-age children and adolescents in Hong Kong before and during the COVID-19 pandemic.

STUDY OBJECTIVES: The lifestyles change of children and adolescents during the COVID-19 pandemic due to antipandemic measures can affect their sleep health. Existing studies have used convenient samples and focused on the initial months of the pandemic, leaving a knowledge gap on changes in young people's sleep patterns under the "new normal" under COVID-19. METHODS: As part of a territory-wide epidemiological study in Hong Kong, this cross-sectional study recruited primary and secondary school students by stratified random sampling. Sleep parameters were collected using the structured diagnostic interview for sleep patterns and disorders. We investigated the pandemic's effects on sleep parameters by comparing data of participants recruited pre-COVID and those recruited during COVID using multivariate regression, adjusting for age, sex, household income, seasonality, and presence of mental disorders, and the moderators and mediators of the effects. RESULTS: Between September 1, 2019 and June 2, 2021, 791 primary and 442 secondary school students were recruited and analyzed. Primary school and secondary school participants assessed before COVID had a longer sleep latency on school days (95% confidence interval [CI] = 1.0-5.2 minutes, adjusted P-value = .010; and 95% CI= 3.9-13.0 minutes, adjusted P-value = .004, respectively) and nonschool days (95% CI = 1.7-7.2 minutes, adjusted P-value = .005; 95% CI = 3.4-13.7 minutes, adjusted P-value = .014, respectively). Low household income was a moderator for later bedtime (adjusted P-value = .032) and later sleep onset (adjusted P-value = .043) during nonschool days among secondary school students. CONCLUSIONS: Changes associated with COVID have a widespread and enduring effect on the sleep health of school-aged students in Hong Kong. Household income plays a role in adolescent sleep health resilience, and the impact of antiepidemic measures on the health gaps of the youth should be considered. CITATION: Chau SWH, Hussain S, Chan SSM, et al. A comparison of sleep-wake patterns among school-age children and adolescents in Hong Kong before and during the COVID-19 pandemic. J Clin Sleep Med. 2023;19(4):749-757.

Applications of artificial intelligence in dementia research.

More than 50 million older people worldwide are suffering from dementia, and this number is estimated to increase to 150 million by 2050. Greater caregiver burdens and financial impacts on the healthcare system are expected as we wait for an effective treatment for dementia. Researchers are constantly exploring new therapies and screening approaches for the early detection of dementia. Artificial intelligence (AI) is widely applied in dementia research, including machine learning and deep learning methods for dementia diagnosis and progression detection. Computerized apps are also convenient tools for patients and caregivers to monitor cognitive function changes. Furthermore, social robots can potentially provide daily life support or guidance for the elderly who live alone. This review aims to provide an overview of AI applications in dementia research. We divided the applications into three categories according to different stages of cognitive impairment: (1) cognitive screening and training, (2) diagnosis and prognosis for dementia, and (3) dementia care and interventions. There are numerous studies on AI applications for dementia research. However, one challenge that remains is comparing the effectiveness of different AI methods in real clinical settings.

Time series models show comparable projection performance with joinpoint regression: A comparison using historical cancer data from World Health Organization.

Background: Cancer is one of the major causes of death and the projection of cancer incidences is essential for future healthcare resources planning. Joinpoint regression and average annual percentage change (AAPC) are common approaches for cancer projection, while time series models, traditional ways of trend analysis in statistics, were considered less popular. This study aims to compare these projection methods on seven types of cancers in 31 geographical jurisdictions. Methods: Using data from 66 cancer registries in the World Health Organization, projection models by joinpoint regression, AAPC, and autoregressive integrated moving average with exogenous variables (ARIMAX) were constructed based on 20 years of cancer incidences. The rest of the data upon 20-years of record were used to validate the primary outcomes, namely, 3, 5, and 10-year projections. Weighted averages of mean-square-errors and of percentage errors on predictions were used to quantify the accuracy of the projection results. Results: Among 66 jurisdictions and seven selected cancers, ARIMAX gave the best 5 and 10-year projections for most of the scenarios. When the ten-year projection was concerned, ARIMAX resulted in a mean-square-error (or percentage error) of 2.7% (or 7.2%), compared with 3.3% (or 15.2%) by joinpoint regression and 7.8% (or 15.0%) by AAPC. All the three methods were unable to give reasonable projections for prostate cancer incidence in the US. Conclusion: ARIMAX outperformed the joinpoint regression and AAPC approaches by showing promising accuracy and robustness in projecting cancer incidence rates. In the future, developments in projection models and better applications could promise to improve our ability to understand the trend of disease development, design the intervention strategies, and build proactive public health system.

The genetic architecture of blood pressure variability: A genome-wide association study of 9370 participants from UK Biobank.

Long-term blood pressure variability (BPV) is a risk factor for cardiovascular diseases, dementia, and stroke. However, its genetic architecture is not fully understood. This study aims to explore its genetic factors and provide more evidence on the mechanisms and further pathological study of BPV. The genome-wide association study (GWAS) is based on the UK Biobank cohort. There were four data collection rounds from 2006 to 2020, and 9370 participants with more than three blood pressure measurements were included. They had a median age of 55 and a male percentage of 50.1%. The phenotypes (BPV) were calculated by four methods and the genetic data contains 6 884 260 single nucleotide polymorphisms (SNPs) after imputation and quality control. A linear regression model was performed with adjustments for sex, age, genotype array, and a significant principal component. Subgroup analysis was performed on hypertension-free participants. The significant and suggestive significant P thresholds were set as 5 × 10-8 and 1 × 10-6 . Six genetic loci (BAD, CCDC88B, GPR137, PLCB3, RPS6KA4 for systolic BPV, and WWC2 for diastolic BPV) were identified by coding region SNPs at the suggestive significant P threshold (1 × 10-6 ). Among them, gene CCDC88B and RPS6KA4 reached the significant P threshold (5 × 10-8 ), with the strongest signal of SNP rs1229536170 (P = 6.36 × 10-8 , ß = -.29). The annotation results indicate that genes CCDC88B, GPR137, RPS6KA4, and BAD are associated with long-term SBPV. Their functions of inflammation, epithelial dysfunction, and apoptosis are related to artery stiffness, which was reported as potential mechanisms of BPV.

Risk of self-harm in post TIA patients: A population-based cohort study.

OBJECTIVE: The purpose of this study was to determine whether individuals who have experienced a transient ischemic attack (TIA) have an increased risk of self-harm behaviors. METHODS: In this matched cohort study, we reviewed the electronic health records of all patients admitted for any reason to Hong Kong public hospitals between January 1, 1993, and December 31, 2019. We selected a post-TIA cohort consisting of 37,356 patients and a comparison cohort comprising 37,352 subjects. All participants enrolled in this study were followed up until a diagnosis of self-harm, death from other causes, or the end of 2020, whichever occurred first. Univariate Cox proportional hazards regression models were used to calculate the risk of self-harm since the onset of TIA. RESULTS: Throughout the 27-year study period, the number of individuals exhibiting self-harm behavior in the TIA and comparison groups was 1031 (2.76%) and 512 (1.37%), respectively. The TIA group had a higher proportion of subjects with self-harm (χ2 = 178, p < .001). The incidence rates of self-harm were 33.94 and 19.27 per 10,000 person-years in TIA patients and comparators, respectively. Compared with the comparators, the adjusted hazard ratio for self-harm in TIA patients was 1.63 (95% confidence interval, 1.46-1.82). CONCLUSIONS: TIA is associated with an increased risk of self-harm. Healthcare professionals should help identify patients at heightened risk and provide efficient and targeted prevention strategies for this population.

Cost-effectiveness of pharmacological therapies for people with Alzheimer's disease and other dementias: a systematic review and meta-analysis.

OBJECTIVES: This study aims to synthesize the empirical economic evidence of pharmaceutical therapies for people with dementia. STUDY DESIGN: Systematic review and meta-analysis. Literature evaluating the costs and effects of drug therapies for dementia was indexed until December 2021. Quality of study was assessed using the Cochrane Risk of Bias Tool and Consensus on Health Economic Criteria list. Cost data were standardized to 2020 US dollars and analyzed from healthcare service and societal perspectives. Random-effects models were used to synthesize economic and clinical data, based on mean differences (MDs) and standardized MDs. RESULTS: Ten unique studies were identified from 11,771 records. Acetylcholinesterase inhibitors (AChEIs) and memantine improved dementia-related symptoms, alongside nonsignificant savings in societal cost (AChEIs: MD-2002 [- 4944 ~ 939]; memantine: MD-6322 [- 14355 ~ 1711]). Despite decreases in cost, antidepressants of mirtazapine and sertraline and second-generation antipsychotics were limited by their significant side effects on patients' cognitive and activity functions. Subgroup analysis indicated that the impacts of AChEIs on cost were affected by different analytical perspectives, follow-up periods, and participant age. CONCLUSIONS: AChEIs and memantine are cost-effective with improvements in dementia-related symptoms and trends of cost-savings. More empirical evidence with non-industrial sponsorships and rigorous design in different settings is warranted.

Apathy after subarachnoid haemorrhage: A systematic review.

BACKGROUND: Apathy is a common and debilitating symptom accompanying many neurological disorders including non-traumatic subarachnoid hemorrhage (SAH). OBJECTIVES: The aim of this systematic review was to identify and critically appraise all published studies that have reported the prevalence, severity, and time course of apathy after SAH, the factors associated with its development, and the impact of apathy on patients' quality of life after SAH. METHODS: The PubMed, EMBASE, PsycINFO, and Ovid Nursing databases were searched for studies published in English that recruited at least 10 patients (>18 years old) after SAH who were also diagnosed with apathy. RESULTS: Altogether 10 studies covering 595 patients met the study's inclusion criteria. The prevalence of apathy ranged from 15 to 68%, with a weighted proportion of 38%. The time course of apathy was unknown. Comorbid cognitive impairment increases the risk of apathy. Blood in lateral ventricles and hydrocephalus may also be related to apathy. Apathy reduces participation in leisure and sexual activities. There were several methodological shortcomings in the included studies, namely, heterogeneity in study design and timing of apathy assessment, hospitalized /clinic-based and biased sampling, small sample sizes and some had high attrition rates, and uncertain validity of the measures of apathy. CONCLUSIONS: Apathy is common after SAH. Further research is needed to clarify its time course and identify the neurochemical factors and brain circuits associated with the development of post-SAH apathy. Randomized controlled treatment trials targeting SAH-related apathy are warranted.

Personality changes after subarachnoid hemorrhage: A systematic review and meta-analysis.

OBJECTIVE: Personality changes (PC) comprise a common and debilitating illness that accompanies many neurological disorders, including non-traumatic subarachnoid hemorrhage (SAH). The aim of this systematic review was to identify and critically appraise all published studies that have reported the frequency, severity, and time course of PC after SAH, the factors associated with the development of PC and the effects of PC on patients' lives after SAH. METHODS: We searched the PubMed, EMBASE, PsycINFO, and Ovid Nursing databases for studies published in English that recruited at least 10 patients (>18 years old) after SAH who were also diagnosed with PC. RESULTS: We found eight studies involving 1227 patients met the study entry criteria. The frequency of PC ranged from 32% to 59%, with a pooled frequency of 44%. The clinical course of PC after SAH was unclear. PC after SAH may be associated with the clinical features and treatment factors related to SAH and comorbid conditions. Neurological signs, disability and surgical treatment increased the risk of PC. PC reduced the study participants' chance of employment. CONCLUSION: In summary, PC commonly occurs after SAH. Further research is needed to clarify the time course of PC and identify the risk factors, neurochemical factors, and brain circuits associated with the development of post-SAH PC. Randomized controlled treatment trials targeting SAH-related PC are warranted.

Comparing drawing under instructions with image copying for mild cognitive impairment (MCI) or dementia screening: a meta-analysis of 92 diagnostic studies.

OBJECTIVES: Drawing is a major component of cognitive screening for dementia. It can be performed without language restriction. Drawing pictures under instructions and copying images are different screening approaches. The objective of this study was to compare the diagnostic performance between drawing under instructions and image copying for MCI and dementia screening. METHOD: A literature search was carried out in the OVID databases with keywords related to drawing for cognitive screening. Study quality and risk of bias were assessed by QUADAS-2. The level of diagnostic accuracy across different drawing tests was pooled by bivariate analysis in a random effects model. The area under the hierarchical summary receiver-operating characteristic curve (AUC) was constructed to summarize the diagnostic performance. RESULTS: Ninety-two studies with sample size of 22,085 were included. The pooled results for drawing under instructions showed a sensitivity of 79% (95% CI: 76 - 83%) and a specificity of 80% (95% CI: 77 - 83%) with AUC of 0.87 (95% CI: 0.83 - 0.89). The pooled results for image copying showed a sensitivity of 71% (95% CI: 62 - 79%) and a specificity of 83% (95% CI: 72 - 90%) with AUC of 0.83 (95% CI: 0.80 - 0.86). Clock-drawing test was the screening test used in the majority of studies. CONCLUSION: Drawing under instructions showed a similar diagnostic performance when compared with image copying for cognitive screening and the administration of image copying is relatively simpler. Self-screening for dementia is feasible to be done at home in the near future.

Evaluation of Digital Drawing Tests and Paper-and-Pencil Drawing Tests for the Screening of Mild Cognitive Impairment and Dementia: A Systematic Review and Meta-analysis of Diagnostic Studies.

Digital drawing tests have been proposed for cognitive screening over the past decade. However, the diagnostic performance is still to clarify. The objective of this study was to evaluate the diagnostic performance among different types of digital and paper-and-pencil drawing tests in the screening of mild cognitive impairment (MCI) and dementia. Diagnostic studies evaluating digital or paper-and-pencil drawing tests for the screening of MCI or dementia were identified from OVID databases, included Embase, MEDLINE, CINAHL, and PsycINFO. Studies evaluated any type of drawing tests for the screening of MCI or dementia and compared with healthy controls. This study was performed according to PRISMA and the guidelines proposed by the Cochrane Diagnostic Test Accuracy Working Group. A bivariate random-effects model was used to compare the diagnostic performance of these drawing tests and presented with a summary receiver-operating characteristic curve. The primary outcome was the diagnostic performance of clock drawing test (CDT). Other types of drawing tests were the secondary outcomes. A total of 90 studies with 22,567 participants were included. In the screening of MCI, the pooled sensitivity and specificity of the digital CDT was 0.86 (95% CI = 0.75 to 0.92) and 0.92 (95% CI = 0.69 to 0.98), respectively. For the paper-and-pencil CDT, the pooled sensitivity and specificity of brief scoring method was 0.63 (95% CI = 0.49 to 0.75) and 0.77 (95% CI = 0.68 to 0.84), and detailed scoring method was 0.63 (95% CI = 0.56 to 0.71) and 0.72 (95% CI = 0.65 to 0.78). In the screening of dementia, the pooled sensitivity and specificity of the digital CDT was 0.83 (95% CI = 0.72 to 0.90) and 0.87 (95% CI = 0.79 to 0.92). The performances of the digital and paper-and-pencil pentagon drawing tests were comparable in the screening of dementia. The digital CDT demonstrated better diagnostic performance than paper-and-pencil CDT for MCI. Other types of digital drawing tests showed comparable performance with paper-and-pencil formats. Therefore, digital drawing tests can be used as an alternative tool for the screening of MCI and dementia.

Diagnostic performance of digital cognitive tests for the identification of MCI and dementia: A systematic review.

BACKGROUND: The use of digital cognitive tests is getting common nowadays. Older adults or their family members may use online tests for self-screening of dementia. However, the diagnostic performance across different digital tests is still to clarify. The objective of this study was to evaluate the diagnostic performance of digital cognitive tests for MCI and dementia in older adults. METHODS: Literature searches were systematically performed in the OVID databases. Validation studies that reported the diagnostic performance of a digital cognitive test for MCI or dementia were included. The main outcome was the diagnostic performance of the digital test for the detection of MCI or dementia. RESULTS: A total of 56 studies with 46 digital cognitive tests were included in this study. Most of the digital cognitive tests were shown to have comparable diagnostic performances with the paper-and-pencil tests. Twenty-two digital cognitive tests showed a good diagnostic performance for dementia, with a sensitivity and a specificity over 0.80, such as the Computerized Visuo-Spatial Memory test and Self-Administered Tasks Uncovering Risk of Neurodegeneration. Eleven digital cognitive tests showed a good diagnostic performance for MCI such as the Brain Health Assessment. However, all the digital tests only had a few validation studies to verify their performance. CONCLUSIONS: Digital cognitive tests showed good performances for MCI and dementia. The digital test can collect digital data that is far beyond the traditional ways of cognitive tests. Future research is suggested on these new forms of cognitive data for the early detection of MCI and dementia.

Supporting Informal Caregivers of People With Dementia in Cost-Effective Ways: A Systematic Review and Meta-Analysis.

OBJECTIVES: Caring for persons with dementia is a heavy burden for informal caregivers. This study aimed to appraise the economic evidence of interventions supporting informal caregivers of people with dementia. METHODS: Literature was searched, and trial-based studies evaluating the costs and effects of interventions supporting informal caregivers of people with dementia were included. Cost data were analyzed from both healthcare and societal perspectives. Random-effects models were used to synthesize cost and effect data, based on mean differences (MDs) or standardized MDs. RESULTS: Of 33 eligible studies identified from 48 588 records, 14 (42.4%) showed net savings in total cost regardless of analytical perspectives. Among 22 studies included in meta-analyses, caregiver-focused psychosocial interventions showed improvements in caregivers' psychological health (n = 4; standardized MD 0.240; 95% confidence interval 0.094-0.387); nevertheless, the increases in societal cost were significant (n = 5; MD 3144; 95% confidence interval 922-5366). Psychological intervention and behavioral management engaging patient-caregiver dyads showed positive effects on caregivers' subjective burden, also with increases in total cost. Subgroup analyses indicated that the inclusion of different intervention components, the caregiver characteristics, and the follow-up periods could affect the costs and effects of interventions supporting informal caregivers. CONCLUSIONS: Psychosocial interventions directed at informal caregivers and dyad-based psychological and behavioral interventions are effective but also expensive. The use of these interventions depends on the society's willingness to pay. More comprehensive economic evidence of interventions supporting informal caregivers is required, and the design of intervention should focus more on different intervention components, characteristics of patients and caregivers, and healthcare systems.

Antihypertensive treatments and risks of lung Cancer: a large population-based cohort study in Hong Kong.

BACKGROUND: There is a growing concern that the use of anti-hypertensives may be associated with an increased risk of cancer, but it remains uncertain for the association between anti-hypertensives and lung cancer risk, as well as their interaction with aspirin in chemoprotective effects. METHODS: The goal of this study is to assess the association between anti-hypertensives use and the risk of lung cancer, as well as the chemopreventive impacts from the combination usage of aspirin and anti-hypertensives. A retrospective cohort study was conducted based on all the public hospital electronic medical records in Hong Kong. Patients with prescription records of anti-hypertensives (ACEi/ARB, CCB, ß-blocker,α-blocker) and/or aspirin were included as the exposure groups. Using the Cox proportional hazards model with inverse probability weighting, we estimated hazard ratios (HRs) with 95% confidence intervals (CIs) for lung cancer risk from anti-hypertensives usage or combination usage of aspirin with anti-hypertensives. The likelihood ratio test and interaction model were adopted for exploring the interaction effects with aspirin. RESULTS: A total of 6592 and 84,116 lung cancer cases were identified from the groups of anti-hypertensives users and anti-hypertensives users with aspirin, respectively. The group of non-aspirin patients who received anti-hypertensives showed a significantly lower risk of lung cancer (HR: 0.63, 95% CI: 0.60-0.66), compared to those without anti-hypertensives. When aspirin and α-blocker were used simultaneously, it could lower the risk of lung cancer significantly (HR: 0.53, 95% CI: 0.34-0.84). Moreover, the lower risk of lung cancer persisted with a longer follow-up period of anti-hypertensives usage. Combination usage with aspirin in the users of ACEi/ARB, CCB, and α-blocker showed significant interaction effects. However, the smoking effect could not be eliminated in this analysis. DISCUSSION: Anti-hypertensive treatment was associated with a lower risk of lung cancer, which is associated with the anti-hypertensives exposure period. The potential interaction on the chemopreventive influence from combination usage of α-blocker and aspirin might exist. More corroborations on these findings are needed to focus on the different settings in future studies.

Long-Term Blood Pressure Variability Increases Risks of Dementia and Cognitive Decline: A Meta-Analysis of Longitudinal Studies.

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Diagnostic accuracy of dementia screening tools in the Chinese population: a systematic review and meta-analysis of 167 diagnostic studies.

BACKGROUND: The rate of undetected dementia is high in China. However, the performance of dementia screening tools may differ in the Chinese population due to the lower education level and cultural diversity. This study aimed to evaluate the diagnostic accuracy of dementia screening tools in the Chinese population. METHODS: Eleven electronic databases were searched for studies evaluating the diagnostic accuracy of dementia screening tools in older Chinese adults. The overall diagnostic accuracy was estimated using bivariate random-effects models, and the area under the summary receiver operating characteristic curve was presented. RESULTS: One hundred sixty-seven studies including 81 screening tools were identified. Only 134 studies qualified for the meta-analysis. The Mini-Mental State Examination (MMSE) was the most commonly studied tool, with a combined sensitivity (SENS) and specificity (SPEC) of 0.87 (95%CI 0.85-0.90) and 0.89 (95%CI 0.86-0.91), respectively. The Addenbrooke's Cognitive Examination-Revised (ACE-R) (SENS: 0.96, 95%CI 0.89-0.99; SPEC: 0.96, 95%CI 0.89-0.98) and Montreal Cognitive Assessment (MoCA) (SENS: 0.93, 95%CI 0.88-0.96; SPEC: 0.90, 95%CI 0.86-0.93) showed the highest performance. The General Practitioner Assessment of Cognition (GPCOG), Hasegawa's Dementia Scale and Cognitive Abilities Screening Instrument had performances comparable to that of the MMSE. The cut-off scores ranged widely across studies, especially for the MMSE (range: 15-27) and MoCA (range: 14-26). CONCLUSIONS: A number of dementia screening tools were validated in the Chinese population after cultural and linguistical adaptations. The ACE-R and MoCA had the best diagnostic accuracy, whereas the GPCOG, with an administration time < 5 minutes, could be considered as a rapid screening tool.

Correction: Electronic Cognitive Screen Technology for Screening Older Adults With Dementia and Mild Cognitive Impairment in a Community Setting: Development and Validation Study.

[This corrects the article DOI: .].

Electronic Cognitive Screen Technology for Screening Older Adults With Dementia and Mild Cognitive Impairment in a Community Setting: Development and Validation Study.

BACKGROUND: A digital cognitive test can be a useful and quick tool for the screening of cognitive impairment. Previous studies have shown that the diagnostic performance of digital cognitive tests is comparable with that of conventional paper-and-pencil tests. However, the use of commercially available digital cognitive tests is not common in Hong Kong, which may be due to the high cost of the tests and the language barrier. Thus, we developed a brief and user-friendly digital cognitive test called the Electronic Cognitive Screen (EC-Screen) for the detection of mild cognitive impairment (MCI) and dementia of older adults. OBJECTIVE: The aim of this study was to evaluate the performance of the EC-Screen for the detection of MCI and dementia in older adults. METHODS: The EC-Screen is a brief digital cognitive test that has been adapted from the Rapid Cognitive Screen test. The EC-Screen uses a cloud-based platform and runs on a tablet. Participants with MCI, dementia, and cognitively healthy controls were recruited from research clinics and the community. The outcomes were the performance of the EC-Screen in distinguishing participants with MCI and dementia from controls, and in distinguishing participants with dementia from those with MCI and controls. The cohort was randomly split into derivation and validation cohorts based on the participants' disease group. In the derivation cohort, the regression-derived score of the EC-Screen was calculated using binomial logistic regression. Two predictive models were produced. The first model was used to distinguish participants with MCI and dementia from controls, and the second model was used to distinguish participants with dementia from those with MCI and controls. Receiver operating characteristic curves were constructed and the areas under the curves (AUCs) were calculated. The performances of the two predictive models were tested using the validation cohorts. The relationship between the EC-Screen and paper-and-pencil Montreal Cognitive Assessment-Hong Kong version (HK-MoCA) was evaluated by the Pearson correlation coefficient. RESULTS: A total of 126 controls, 54 participants with MCI, and 63 participants with dementia were included in the study. In differentiating participants with MCI and dementia from controls, the AUC of the EC-Screen in the derivation and validation cohorts was 0.87 and 0.84, respectively. The optimal sensitivity and specificity in the derivation cohorts were 0.81 and 0.80, respectively. In differentiating participants with dementia from those with MCI and controls, the AUC of the derivation and validation cohorts was 0.90 and 0.88, respectively. The optimal sensitivity and specificity in the derivation cohort were 0.83 and 0.83, respectively. There was a significant correlation between the EC-Screen and HK-MoCA (r=-0.67, P<.001). CONCLUSIONS: The EC-Screen is suggested to be a promising tool for the detection of MCI and dementia. This test can be self-administered or assisted by a nonprofessional staff or family member. Therefore, the EC-Screen can be a useful tool for case finding in primary health care and community settings.