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Record W2442786354

[Vascular risk factors and cognitive impairment of patients with magnetic resonance imaging-defined subcortical ischemic depression].

2012· article· en· W2442786354 on OpenAlexaboutno aff
Yin Long, Tingting Yang, Zhongwu Sun

Bibliographic record

VenuePubMed · 2012
Typearticle
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsMontreal Cognitive AssessmentMedicineDepression (economics)Internal medicineGeriatric Depression ScaleCardiologyMagnetic resonance imagingFramingham Heart StudyCognitive impairmentFramingham Risk ScorePsychiatryCognitionDiseaseDepressive symptomsRadiology
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVE: To explore the vascular risk factors and neuropsychological profiles of patients with magnetic resonance imaging (MRI)-defined subcortical ischemic depression (SID). METHODS: Thirty-five SID patients, 37 patients with subcortical ischemic vascular disease without depression (SIVD) and 40 normal controls (NC) participated in this case-control study. The SID and SIVD groups were recruited from the Department of Neurology, First Affiliated Hospital, Anhui Medical University between October 2010 and September 2011. And the NC group came from Medical Center, First Affiliated Hospital of Anhui Medical University over the same period. The vascular risk factors of all participants were assessed by the Framingham scale. Depression symptoms were assessed by the geriatric depression scale (GDS) and Hamilton depression scale (HAMD) while cognitive functions by the mini-mental state examination (MMSE) and Montreal cognitive clock drawing task (CDT). RESULTS: Both the SID (12.3 ± 4.7) and SIVD (13.5 ± 3.4) groups showed significantly higher Framingham scores than the NC group (8.6 ± 1.8) (F = 20.850, P = 0.000). Compared with the NC group (28.3 ± 1.8; 23.1 ± 3.4; 8.0 ± 1.8), the MMSE, MoCA and CDT scores were significantly lower in the SID (26.7 ± 2.5; 20.0 ± 4.0; 2.0 ± 2.7) and SIVD (26.8 ± 1.9; 20.7 ± 3.0; 6.1 ± 2.1) groups (P < 0.05). There were significantly lower CAMCOG-C scores in the SID (82.7 ± 9.0) and SIVD (86.2 ± 6.9) groups versus the NC group (92.3 ± 6.2) (P < 0.05) and similarly in the SID group versus the SIVD group (P < 0.05). Among the subtests of CAMCOG-C, the orientation, language and memory scores in both SID (9.0 ± 1.4; 24.7 ± 4.0; 19.5 ± 3.4) and SIVD (9.4 ± 0.9; 25.5 ± 2.1; 20.3 ± 2.3) groups were significantly lower than those in the NC group (9.9 ± 0.4; 27.4 ± 1.9; 22.1 ± 2.4) (P < 0.05); the praxis scores in the SID group (9.4 ± 1.9) were significantly lower than those in the NC group (10.4 ± 1.5) (P < 0.05). And the thinking and perception scores in the SID group (5.4 ± 1.7; 6.3 ± 1.4) were significantly lower than those in the SIVD (6.2 ± 1.3; 7.0 ± 1.4) and NC (6.6 ± 1.3; 7.2 ± 1.4) groups. In the SID group, no significant correlation was found between the Framingham scores and neuropsychological assessments. There were a negative correlation between the GDS, HAMD scores and MMSE, MoCA, CAMCOG-C and CDT scores (P < 0.05). CONCLUSION: The SID patients demonstrate multiple neuropsychological deficits, especially in thinking, perception and praxis. No significant correlation between vascular risk factors and depression symptoms is found in SID patients.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.007
GPT teacher head0.192
Teacher spread0.185 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

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Citations2
Published2012
Admission routes1
Has abstractyes

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