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Record W2740115366 · doi:10.1055/s-0037-1603470

Nutrition in Stroke Prevention

2017· review· en· W2740115366 on OpenAlexaff
J. David Spence

Bibliographic record

VenueSeminars in Neurology · 2017
Typereview
Languageen
FieldMedicine
TopicFolate and B Vitamins Research
Canadian institutionsRobarts Clinical TrialsWestern University
Fundersnot available
KeywordsMedicineMethylcobalaminMediterranean dietStroke (engine)HomocysteineVitamin B12B vitaminsDiabetes mellitusCyanocobalaminInternal medicinePhysiologyEndocrinology

Abstract

fetched live from OpenAlex

Abstract Nutrition is far more important to the prevention of stroke than most physicians realize. Key issues include a Mediterranean diet, the interaction of the intestinal microbiome, impaired renal function and diet, missed metabolic B12 deficiency, and the lowering of homocysteine with B vitamins to prevent stroke. The Cretan Mediterranean diet is high in olive oil, whole grains, fruits, vegetables, and legumes, and is close to a vegetarian diet. Compared with a low-fat diet, it reduced stroke by over 40%, and is clearly the best diet for diabetes. Metabolic B12 deficiency is very common (∼ 30% of stroke patients age > 70 years) and frequently missed because it is not excluded by a total serum B12 level in the reference range. B vitamins to lower homocysteine do prevent stroke, but their benefit was obscured in early studies because of harm from cyanide in cyanocobalamin among participants with renal impairment. Methylcobalamin should be used instead of cyanocobalamin.

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: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.986
Threshold uncertainty score0.791

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.138
GPT teacher head0.464
Teacher spread0.326 · 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 designOther design
Domainnot available
GenreReview

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

Citations7
Published2017
Admission routes1
Has abstractyes

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