topicSage Cognitive Performance Meta-Analysis
claimThese structural and functional changes in muscle fibers associated with sarcopenia decrease the quality of life of this population due to increased probability of falls, fractures, low physical performance, and neurological disorders [,].
evidence level1
citationGarrido-Dzib Angel Gabriel (2026)
sourceA Systematic Review and Meta-analysis on the association between sarcopenia and cognitive impairment in middle-aged and older adults from Latin America
topicSage Cognitive Performance Meta-Analysis
claimIn this continuum, mild neurocognitive disorder, or mild cognitive impairment (MCI), corresponds to an intermediate clinical state in which there is objective evidence of moderate cognitive decline (e.g., in memory, learning, or language), without substantial impairment of functional or social autonomy.
evidence level1
citationGarrido-Dzib Angel Gabriel (2026)
sourceA Systematic Review and Meta-analysis on the association between sarcopenia and cognitive impairment in middle-aged and older adults from Latin America
topicSage Cognitive Performance Meta-Analysis
claimAge is the main risk factor for MCI, although it is important to note that this condition may also manifest at earlier stages of life (from approximately 50 years onwards) [].
evidence level1
citationGarrido-Dzib Angel Gabriel (2026)
sourceA Systematic Review and Meta-analysis on the association between sarcopenia and cognitive impairment in middle-aged and older adults from Latin America
topicSage Cognitive Performance Meta-Analysis
claim1 2 Latin America (LATAM) is a region comprising the countries and territories of Mexico, Central America, South America, and some Caribbean countries.
evidence level1
citationGarrido-Dzib Angel Gabriel (2026)
sourceA Systematic Review and Meta-analysis on the association between sarcopenia and cognitive impairment in middle-aged and older adults from Latin America
topicSage Cognitive Performance Meta-Analysis
claimRisk of bias and reporting quality were assessed with PROBAST (Prediction Model Risk of Bias Assessment Tool) and TRIPOD (Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis or Diagnosis); implementation readiness was assessed with the RE-AIM (Reach, Effectiveness, Adoption, Implementation, Maintenance) framework and a Technology Readiness Level (TRL)-style rubric.
evidence level1
citationKim S (2026)
sourceMachine Learning-Based Frailty Prediction and Classification in Community-Dwelling Older Adults: A Systematic Review of Validation, Explainability, and Implementation Readiness.
topicSage Cognitive Performance Meta-Analysis
claimOnly 2 of 14 studies had both low overall risk of bias and low applicability concern (PROBAST); the field is concentrated at TRL 4-6, with no study at TRL 7 or higher and none documenting Implementation or Maintenance domains of RE-AIM.
evidence level1
citationKim S (2026)
sourceMachine Learning-Based Frailty Prediction and Classification in Community-Dwelling Older Adults: A Systematic Review of Validation, Explainability, and Implementation Readiness.
topicSage Cognitive Performance Meta-Analysis
claimBackground and Objectives: Frailty is a multidimensional vulnerability in older adults; the Fried phenotype and Frailty Index are clinically informative but labor-intensive, limiting scalability for community screening.
evidence level1
citationKim S (2026)
sourceMachine Learning-Based Frailty Prediction and Classification in Community-Dwelling Older Adults: A Systematic Review of Validation, Explainability, and Implementation Readiness.
topicSage Cognitive Performance Meta-Analysis
claimMachine learning (ML) can model heterogeneous, high-dimensional data, but real-world adoption is constrained by heterogeneity in definitions, predictors, validation strategies, and explainability.
evidence level1
citationKim S (2026)
sourceMachine Learning-Based Frailty Prediction and Classification in Community-Dwelling Older Adults: A Systematic Review of Validation, Explainability, and Implementation Readiness.