Outcome of Magnetic Resonance Imaging (MRI) Technique on Vascular Cognitive Impairment (VCI): Meta-Analysis
Bibliographic record
Abstract
Background: The significant justification for why vascular cognitive impairment (VCI) happens is because of cerebrovascular disease.If not recognized early, this will prompt vascular dementia.To have the option to analyze VCI the assessment procedure ought to be foremost, in order to assist with effective treatment strategy to forestall extra vascular harm.Objective: The purpose of this meta-analysis is to evaluate the scoring system used to assess VCI after magnetic resonance imaging (MRI) technique.Methods: A PRISMA selection protocol was used to identify neuroimaging studies across electronic database such as PubMed, Google scholar, Embase and web of science from May 13, 2011 to October 10, 2022.A total of 26 studies evaluating neuropsychological assessment such as Educational experience, Mini-mental state examination (MMSE), Montreal cognitive assessment (MoCA), Fazekas perivascular (PV) Score, Hamilton depression rating scale (HAMD), Hamilton anxiety scale (HAMA) and Activities daily living scale(ADL) for VCI after MRI method.Meta-analysis was performed by Rev-Man 5.4. Results:The meta-analysis included 26 MRI studies on VCI patients and control.The studies included a total number of 2,253 individuals, 1,192 were in the control group and 1,061 patients in VCI group.The cognitive function assessed by the meta-analysis revealed VCI with lesser MMSE scores (Heterogeneity: Tau 2 = 6.75;Chi 2 = 879.81,df = 19 (P < 0.00001); I 2 = 98%) and MoCA scores (Heterogeneity: Tau 2 = 12.76; Chi 2 = 736.56,df = 15 (P < 0.00001); I 2 = 98%) respectively.The analysis showed that, educational level is positively related with cognitive function in VCI patients (Heterogeneity: Chi 2 = 39.68,df = 20 (P = 0.005); I 2 = 50%).The control group observed a lesser HAMA and Fazekas PV score compared to VCI.But there was no significant difference for HAMD and ADL between the two groups.Conclusion: Cognitive performance in subjects with VCI can be evaluated using neuropsychological scoring system following MRI technique.Furthermore, MMSE and MoCA scores following education increases positive cognitive function.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.021 | 0.041 |
| Meta-epidemiology (narrow) | 0.004 | 0.002 |
| Meta-epidemiology (broad) | 0.018 | 0.063 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".