|
Dementia
|
0.100 |
Biomarker
|
disease |
BEFREE |
We found that AD8 can show dementia and MCI when the cut-off values are ≥5 and 3-4, respectively, with a sensitivity of 100% and 81.67% and specificity of 96.3% and 93.59%.
|
29923472 |
2019 |
|
Dementia
|
0.100 |
Biomarker
|
disease |
BEFREE |
We performed a systematic literature review on Subjective Cognitive Decline (SCD) in order to examine whether the resemblance of brain connectome and functional connectivity (FC) alterations in SCD with respect to MCI, AD and HC can help us draw conclusions on the progression of SCD to more advanced stages of dementia.
|
31401485 |
2019 |
|
Dementia
|
0.100 |
Biomarker
|
disease |
BEFREE |
Additional subgroup analyses (MCI versus dementia, Aβ-positive versus Aβ-negative subjects) were performed.
|
30636731 |
2019 |
|
Dementia
|
0.100 |
GeneticVariation
|
disease |
BEFREE |
Among 200 outpatients with dementia and MCI whose NGF SNP rs6330 genotype was identified, those with A-MCI (n = 35) and early-stage AD (n = 67) were recruited and divided into three groups according to genotype (C/C: n = 58, C/T: n = 39, T/T: n = 5).
|
22301435 |
2011 |
|
Dementia
|
0.100 |
GeneticVariation
|
disease |
BEFREE |
In a follow-up analysis using an independent data set, we demonstrate a protective effect of this variant against risk of conversion to MCI or AD (p = 0.038) and against cognitive decline in individuals who develop dementia (p = 3.41 × 10<sup>-15</sup> ).
|
29130521 |
2017 |
|
Dementia
|
0.100 |
Biomarker
|
disease |
BEFREE |
A multivariate model based on the Disease State Index classifier incorporated the available baseline tests to predict progression to MCI or dementia over time.
|
30619929 |
2018 |
|
Dementia
|
0.100 |
Biomarker
|
disease |
BEFREE |
Simultaneous multi-category classification analyses showed that the volume under the ROC surface (VUS) was 0.57 and that the derived optimal cut-off points were 2 and 8 for controls, MCI, and dementia.
|
29475235 |
2018 |
|
Dementia
|
0.100 |
Biomarker
|
disease |
BEFREE |
Although PD-MCI is a risk factor for developing Parkinson's disease dementia there is evidence to suggest that PD-MCI might consist of distinct subtypes with different pathophysiologies and prognoses.
|
25814509 |
2015 |
|
Dementia
|
0.100 |
Biomarker
|
disease |
BEFREE |
Within four years, 42 (22.8%) MCI individuals in the clinical sample and 45 (10.3%) individuals in the population-based sample progressed to dementia.
|
29335040 |
2018 |
|
Dementia
|
0.100 |
Biomarker
|
disease |
BEFREE |
208 participants remained normal and 60 developed cognitive decline, consistent with a diagnosis of MCI or dementia.
|
25212916 |
2014 |
|
Dementia
|
0.100 |
Biomarker
|
disease |
BEFREE |
Pre-MCI subjects showed accelerated rates of progression to MCI as compared to NCI subjects, but slower rates of progression to dementia than MCI subjects.
|
21422909 |
2011 |
|
Dementia
|
0.100 |
GeneticVariation
|
disease |
BEFREE |
After 5 years of motor symptoms, 24% of participants met the criteria for MCI and 69% for dementia.
|
31678902 |
2020 |
|
Dementia
|
0.100 |
Biomarker
|
disease |
BEFREE |
Extending the discriminative validity analysis to cognitive impairment (both dementia and MCI, n = 162) only slightly reduced the discriminative validity of BASIC whereas the discriminative validity of the MMSE was substantially attenuated.
|
31389089 |
2019 |
|
Dementia
|
0.100 |
Biomarker
|
disease |
BEFREE |
Imaging findings and dementia/MCI biomarkers provide preliminary evidence for an indirect association of the two conditions.
|
29232279 |
2018 |
|
Dementia
|
0.100 |
Biomarker
|
disease |
BEFREE |
Further high-quality evidence is needed in order to determine whether mind-body interventions are cost-effective for improving cognitive decline in older adults with MCI and for delaying the rapid progression from MCI to Alzheimer or other types of dementia.
|
30712518 |
2019 |
|
Dementia
|
0.100 |
Biomarker
|
disease |
BEFREE |
The Q mci-TR is a reliable and useful screening tool for discriminating MCI from SMC and dementia in a Turkish population.
|
28423938 |
2017 |
|
Dementia
|
0.100 |
Biomarker
|
disease |
BEFREE |
Only the short variant by Roalf et al was comparable to the original MoCA in identifying MCI or dementia even across education subgroups.
|
30910550 |
2019 |
|
Dementia
|
0.100 |
Biomarker
|
disease |
BEFREE |
The MCI diagnosis was based on medical evaluations through a clinical interview conducted by a dementia specialist.
|
31261796 |
2019 |
|
Dementia
|
0.100 |
Biomarker
|
disease |
BEFREE |
Depression and SCD demonstrated independent risks of MCI/dementia (HR 1.4 and 2.0 respectively).
|
31399132 |
2019 |
|
Dementia
|
0.100 |
Biomarker
|
disease |
BEFREE |
A high prevalence of MCI or dementia was observed in the elderly population.
|
28769097 |
2017 |
|
Dementia
|
0.100 |
Biomarker
|
disease |
BEFREE |
One hundred and seven elderly subjects with cognitive impairment (91 memory clinic patients with mild cognitive impairment [MCI] and 16 with dementia of AD type) and 55 cognitively healthy volunteers were included in this study.
|
29054536 |
2017 |
|
Dementia
|
0.100 |
GeneticVariation
|
disease |
BEFREE |
We used, firstly, a clinical cohort at a dementia clinic (National Health Insurance Service-Ilsan Hospital [NHIS-IH]; N = 211; 110 AD, 64 mild cognitive impairment [MCI], and 37 cognitively normal with subjective memory complaints [SMC]) to test the diagnostic models; and, secondly, Alzheimer's Disease Neuroimaging Initiative (ADNI)-2 to test the generalizability.
|
31150957 |
2019 |
|
Dementia
|
0.100 |
Biomarker
|
disease |
BEFREE |
Most of the participants who developed dementia were diagnosed at baseline with amnestic multidomain MCI.
|
31455461 |
2020 |
|
Dementia
|
0.100 |
Biomarker
|
disease |
BEFREE |
Logistic regression models were used to determine odds ratios (OR) and 95% confidence intervals (CI) for the association between HDL-C quartiles and MCI and dementia, respectively.
|
30659169 |
2019 |
|
Dementia
|
0.100 |
Biomarker
|
disease |
BEFREE |
Age (hazard ratio (HR) 1.05 per year, 95% CI: 1.01-1.08, p = 0.007), presence of MCI status (HR 3.40, 95% CI: 1.97-6.92, p < 0.001), MTA (HR 1.71 per point, 95% CI: 1.26-2.32, p = 0.001), and SVD score (HR 1.23 per point, 95% CI: 1.20-1.48, p = 0.030) at baseline were independent predictors for dementia conversion in these patients.
|
28318355 |
2018 |