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Record W2041232724 · doi:10.2147/nedt.1.1.73.52302

Lack of association between angiotensin-converting enzyme and dementia of the Alzheimer's type in an elderly Arab population in Wadi Ara, Israel

2005· article· en· W2041232724 on OpenAlexaff
Abdalla Bowirrat, Jing Cui, Kristin Waraska, Robert P. Friedland, Marlene Oscar‐Berman, Lindsay A. Farrer, Amos D. Korczyn, Clinton T. Baldwin

Bibliographic record

VenueNeuropsychiatric Disease and Treatment · 2005
Typearticle
Languageen
FieldMedicine
TopicRenin-Angiotensin System Studies
Canadian institutionsHypertension Canada
FundersNational Institute on AgingNational Institute on Alcohol Abuse and AlcoholismU.S. Department of Veterans Affairs
KeywordsMedicineDementiaAlzheimer's diseasePolymorphism (computer science)DiseasePopulationAngiotensin-converting enzymeBlood pressureGerontologyInternal medicineGeneGeneticsAlleleEnvironmental healthBiology

Abstract

fetched live from OpenAlex

The angiotensin-converting enzyme (ACE), a protease involved in blood pressure regulation, has been implicated as an important candidate gene for Alzheimer's disease (AD). This study investigated whether the ACE gene insertion-deletion (ID) polymorphism is associated with risk of developing dementia of Alzheimer's type (DAT) in an Arab-Israeli community, a unique genetic isolate where there is a high prevalence of DAT. In contrast to several other studies, we found no evidence of an association between this polymorphism and either DAT or age-related cognitive decline (ARCD).

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.012
Threshold uncertainty score0.388

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0000.000

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 head0.036
GPT teacher head0.296
Teacher spread0.260 · 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 teacher head, 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".

Quick stats

Citations6
Published2005
Admission routes1
Has abstractyes

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