MétaCan
Menu
Back to cohort
Record W1870076362 · doi:10.4103/1119-3077.163274

Mini-mental state exam versus Montreal Cognitive Assessment in patients with diabetic retinopathy

2015· article· en· W1870076362 on OpenAlex
Tevfik Oğurel, R Oğurel, Murat Atabey Özer, Yakup Türkel, E Dağ, Kemal Örnek

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

VenueNigerian Journal of Clinical Practice · 2015
Typearticle
Languageen
FieldMedicine
TopicRetinal Imaging and Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsMontreal Cognitive AssessmentMedicineDiabetic retinopathyMini–Mental State ExaminationCognitionDiabetes mellitusCognitive impairmentRetinopathyInternal medicinePsychiatry

Abstract

fetched live from OpenAlex

BACKGROUND: Mini-mental state exam (MMSE) was used several times but no study has examined cognition on the Montreal Cognitive Assessment (MoCA) in diabetes and diabetic retinopathy (DR). In this study, we compared MMSE with MoCA in patients with DR and searched for an association between the severity of DR and cognitive impairment (CI). METHODS: This cross-sectional study comprised 120 consecutive patients with diabetes. Patients were divided into four groups as no DR, mild DR, severe nonproliferative DR (PDR) and PDR. Each group consisted 30 inviduals. CI was assessed using the MMSE and MoCA. RESULTS: The number of subjects with a score>21 were significantly lower on the MoCA than on the MMSE between groups (all P<0.05). The mean MoCA score was significantly lower than the MMSE score (P<0.001) There was a linear association between the grade of DR and a score<21 on both tests, CONCLUSION: MoCA provides more insight into the cognitive function in DR.

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)0.004
metaresearch head score (Gemma)0.012
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.032
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.053
GPT teacher head0.421
Teacher spread0.368 · 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