Author response: Practice guideline update summary: Mild cognitive impairment: Report of the Guideline Development, Dissemination, and Implementation Subcommittee of the American Academy of Neurology

Petersen, Ronald C.; López, Oscar L.; Armstrong, Melissa J.; Getchius, Thomas S.D.; Ganguli, Mary; Gloss, David; Gronseth, Gary S.; Marson, Daniel C.; Pringsheim, Tamara; Day, Gregory S.; Sager, Mark A.; Stevens, Jennifer E.; Rae-Grant, Alexander

doi:10.1212/wnl.0000000000006042

Cited by 443 publications

(766 citation statements)

References 10 publications

Supporting

Mentioning

729

Contrasting

Unclassified

Order By: Relevance

“…One quantitative approach summarized descriptive statistics (median, interquartile range [IQR], minimum, maximum) for each age and outcome category. Where studies reported multiple estimates from the same study population (e.g., applying different MCI definitions or different operationalization of a single definition), we used the estimate linked to the definition most consistent with the standard clinical diagnostic criteria for MCI (e.g., the revised Petersen [4] or International Working Group [10] clinical diagnostic criteria for MCI). When studies presented both crude estimates and estimates adjusted for population attrition, the adjusted estimate was selected as a better representation of the expected incidence rates.…”

Section: Data Synthesis and Analysismentioning

confidence: 99%

“…Estimates of the incidence of MCI in the general population help inform public health agencies and clinical decision‐makers as they prepare for the number of older adults with MCI and at risk for dementia to increase. Although summary estimates of the prevalence of MCI were updated in 2018 [4], systematic literature reviews on the incidence of MCI in the older adult population were last published in 2012, and their results provided limited utility due to the lack of data synthesis and the vast ranges of the individual summary estimates (e.g., rates per 1000 person‐years ranging from 21.5 to 71.3 [5] and 49.2 to 78.1 [6]). A wide range of incidence may be expected given both the variation in age composition and the variation in diagnostic criteria for MCI among the studies.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

The incidence of mild cognitive impairment: A systematic review and data synthesis

Gillis

Mirzaei

Potashman

et al. 2019

Alz & Dem Diag Ass & Dis Mo

128

View full text Add to dashboard Cite

Introduction Incidence estimates of mild cognitive impairment (MCI) range widely. We obtained contemporary age‐specific MCI incidence rates and examined sources of heterogeneity. Methods We conducted a systematic review of population‐based studies from the Americas, Europe, and Australia using restrictive inclusion criteria to limit heterogeneity. Incidence was examined using 5‐year age categories for MCI and amnestic/nonamnestic subtypes. Data were synthesized using quantitative and qualitative descriptive analyses and quantitative meta‐analyses. Results Meta‐analysis estimates (95% CI) of MCI incidence per 1000 person‐years were 22.5 (5.1–51.4) for ages 75–79y, 40.9 (7.7–97.5) for ages 80–84y, and 60.1 (6.7–159.0) for ages 85+y. Despite restrictive inclusion criteria, considerable heterogeneity (measured by I2) remained. Meta‐analysis findings and simple descriptive statistics were consistent and supported by qualitative review. Discussion Heterogeneity in MCI incidence estimates persisted across age‐specific estimates from population samples, likely reflecting differences in populations and methods. Incidence rate ranges are important to consider with summary point estimates.

show abstract

Section: Data Synthesis and Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The incidence of mild cognitive impairment: A systematic review and data synthesis

Gillis

Mirzaei

Potashman

et al. 2019

Alz & Dem Diag Ass & Dis Mo

128

View full text Add to dashboard Cite

show abstract

“…The study design was detailed previously [30].The primary validation included 711 participants with SCD (n 5 490) or MCI (n 5 221) at the most recent Ab measure occurring from November 2006 to August 2017. MCI was defined using consensus agreement and published criteria [24,30]. SCD was determined to be present if the patient or informant Everyday Cognition Questionnaire score reached its respective threshold (1.31 informants or 1.36 participants) [25][26][27].…”

Section: Algorithm Validation In Aibl and Mcsamentioning

confidence: 99%

Practical algorithms for amyloid β probability in subjective or mild cognitive impairment

Maserejian

Bian

Wang

et al. 2019

Alz & Dem Diag Ass & Dis Mo

View full text Add to dashboard Cite

Introduction Practical algorithms predicting the probability of amyloid pathology among patients with subjective cognitive decline or mild cognitive impairment may help clinical decisions regarding confirmatory biomarker testing for Alzheimer's disease. Methods Algorithm feature selection was conducted with Alzheimer's Disease Neuroimaging Initiative and Australian Imaging, Biomarkers and Lifestyle Flagship Study of Ageing data. Probability algorithms were developed in Alzheimer's Disease Neuroimaging Initiative using nested cross‐validation accompanied by stratified subsampling to obtain 1000 internally validated decision trees. Semi‐independent validation was conducted using Australian Imaging, Biomarkers and Lifestyle Flagship Study of Ageing. Independent external validation was conducted in the population‐based Mayo Clinic Study of Aging. Results Two algorithms were developed using age and normalized immediate recall z‐scores, with or without apolipoprotein E ε4 carrier status. Both algorithms had robust performance across data sets and when substituting different recall memory tests. Discussion The statistical framework resulted in robust probability estimation. Application of these algorithms may assist in clinical decision‐making for further testing to diagnose amyloid pathology.

show abstract

“…The latest guidelines and expert opinions suggested that there is a lack of high-quality evidence supporting the recommendation of drug therapy to improve cognitive function or delay disease progression in patients with mild cognitive impairment. 2 Moreover, mental activity and physical exercise, which decrease the risk of further cognitive decline, are encouraged as nonpharmaceutical interventions to improve the cognitive performance of aging people with or without cognitive impairment. [3][4][5] However, the efficacy and effectiveness of combined mental and physical activity are still uncertain because previous studies focused only on physical exercise without considering the mental effect.…”

mentioning

confidence: 99%

Effects of Mind‐Body Exercises on Cognitive Function in Older Adults: A Meta‐Analysis

Zheng

et al. 2018

J American Geriatrics Society

View full text Add to dashboard Cite

BACKGROUND/OBJECTIVES Mind‐body exercise has positive effects on cognitive performance, according to clinical observation and experts’ recommendations. However, its potential benefits for the cognitive function of aging adults are uncertain and still lack systematic estimations. Therefore, we conducted a systematic review and meta‐analysis to evaluate the overall efficacy and effectiveness of mind‐body exercises for cognitive performance in aging individuals with or without cognitive impairment. DESIGN A systematic review and meta‐analysis. SETTING AND PARTICIPANTS We searched related trials through June 2018 from four databases: Medline, Embase, PsycINFO (all via Ovid), and the Cochrane Library/Central Register of Controlled Trials. MEASUREMENTS Methodological quality was assessed using the Cochrane Risk of Bias Tool. A meta‐analysis of comparative effects was performed using Review Manager v.5.3 software, and publication bias was examined using Egger's test. RESULTS A total of 32 randomized controlled trials with 3624 participants were ultimately included in this meta‐analysis. The results revealed that mind‐body exercises as a whole had benefits in improving global cognition compared with that of the control group (mean difference [MD] = 0.92; 95% confidence interval [CI] = 0.33‐1.51; p = .002) and were more effective than control interventions in promoting cognitive flexibility (MD = −8.80; 95% CI = −15.22 to −2.38; p = .007), working memory (MD = 0.32; 95% CI = 0.01‐0.64; p = .05), verbal fluency (standardized mean difference [SMD] = 0.27; 95% CI = 0.09‐0.45; p = .003), and learning (SMD = 0.24; 95% CI = 0.10‐0.39; p = .001) on cognitively intact or impaired older adults. In dose‐subgroup analysis, only moderate exercise intensity (60‐120 min per week) significantly increased global cognition scores compared with those of the control group (MD = 1.15; 95% CI = 0.34‐1.97; p = .006). CONCLUSION Mind‐body exercises, especially tai chi and dance mind‐body exercise, are beneficial for improving global cognition, cognitive flexibility, working memory, verbal fluency, and learning in cognitively intact or impaired older adults. Moderate intensity is recommended as the optimal dose for older adults. J Am Geriatr Soc 67:749–758, 2019.

show abstract

Author response: Practice guideline update summary: Mild cognitive impairment: Report of the Guideline Development, Dissemination, and Implementation Subcommittee of the American Academy of Neurology

Cited by 443 publications

References 10 publications

The incidence of mild cognitive impairment: A systematic review and data synthesis

The incidence of mild cognitive impairment: A systematic review and data synthesis

Practical algorithms for amyloid β probability in subjective or mild cognitive impairment

Effects of Mind‐Body Exercises on Cognitive Function in Older Adults: A Meta‐Analysis

Contact Info

Product

Resources

About