MétaCan
Menu
Back to cohort
Record W2387053185

Correlation between cerebral microbleeds and cognitive impairment

2014· article· en· W2387053185 on OpenAlex
Ren Hai-ya

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueZhonghua laonian xin-nao-xueguanbing zazhi · 2014
Typearticle
Languageen
FieldMedicine
TopicIntracerebral and Subarachnoid Hemorrhage Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineLogistic regressionMontreal Cognitive AssessmentCognitionRisk factorInternal medicineCognitive impairmentCardiologyCorrelationLacunar strokeIschemiaAudiologyIschemic strokePsychiatry
DOInot available

Abstract

fetched live from OpenAlex

Objective To study the correlation between cerebral microbleeds(CMB)and cognitive impairment.Methods Three hundred and twenty consecutive patients with transient cerebral ischemia and lacunar ischemic stroke were divided into MoCA≥26group and MoCA26group. Their cognitive function was assessed according to the findings in T2gradient echo-weighted scanning.The related risk factors were recorded.The clinical risk factors and MRI findings were compared between the two groups by logistic regression analysis.Results The number of positive CMB was significantly greater in MoCA26group than in MoCA≥26group(P0.01).Logistic regression analysis showed that the number of CMB was the influencing factor for MoCA score(P0.05).Conclusion The effect of CMB on cognitive function is independent of other diseases in the nervous system and risk factors for other cerebrovascular diseases.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.195
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.014
GPT teacher head0.270
Teacher spread0.257 · 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