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Record W7132715803

Correlation between diabetes mellitus and cognitive impairment

2017· other· lt· W7132715803 on OpenAlexaboutno aff
Eglė Milašauskienė, Joana Petrikėnaitė, Eglė Maceikonytė, Gediminas Urbonas

Bibliographic record

VenueLithuanian University of Health Sciences · 2017
Typeother
Languagelt
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsMontreal Cognitive AssessmentCognitive impairmentCorrelationDiabetes mellitusHuman physiologyCognition
DOInot available

Abstract

fetched live from OpenAlex

Tyrimo tikslas. Nustatyti 2 tipo cukrinio diabeto (CD), gydymo insulinu trukmės bei pažinimo funkcijų sutrikimo (PFS) sąsajas, naudojant Montrealio testą (MOCA – The Montreal Cognitive Assessment) vyresniems nei 65 metų asmenims. Tyrimo metodai. Atliktas skerspūvio tyrimas. Dalyvauti tyrime pakviestas 401 pacientas 65 metų ir vyresnis, tiriamųjų pažinimo funkcijos niekada nebuvo tirtos; iš jų 121 sirgo CD. Pacientų pažinimo funkcijoms vertinti naudotas MOCA. Tyrėjai peržiūrėjo pacientų medicinines ambulatorines korteles ir duomenis apie CD trukmę bei gydymą surinko į šiam tyrimui paruoštą anketą. Rezultatai. Sergančiųjų ir nesergančiųjų CD MOCA balas statistiškai reikšmingai nesiskyrė. Sunkus ir labai sunkus PFS nustatytas statistiškai reikšmingai dažniau, kai CD trukmė buvo 11 metų ir ilgesnė lyginant su trumpesne nei 11 metų sirgimo trukme. Taikant dalinį koreliacijos koeficientą, nustatyta silpna koreliacija tarp CD trukmės, gydymo insulinu trukmės ir MOCA balo. Nustatyta ir MOCA balo mažėjimo bei pacientų amžiaus didėjimo sąsaja. Išvados. Naudojant MOCA, PFS tiek sergančiųjų CD, tiek nesergančiųjų grupėse nustatytas vienodai dažnai. CD ir gydymo insulinu trukmė koreliuoja su MOCA mažėjimu. Amžius taip pat koreliuoja su MOCA balo mažėjimu.

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 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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.320
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0030.007
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.026
GPT teacher head0.273
Teacher spread0.247 · 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; both teacher heads agree on what is shown here.

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".

Quick stats

Citations0
Published2017
Admission routes1
Has abstractyes

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