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Record W4399758218 · doi:10.48305/arya.2023.11749.2380

A Hospital-Based Case-Control Study on Whole- and Refined-Grain Intake and Risk of Stroke.

2023· article· en· W4399758218 on OpenAlexaff
Fatemeh Shirani, Mohammad Saadatnia, Forough Shakeri, Ammar Hassanzadeh Keshteli, Parvane Saneei, Ahmad Esmaillzadeh

Bibliographic record

VenuePubMed · 2023
Typearticle
Languageen
FieldNursing
TopicFood composition and properties
Canadian institutionsUniversity of Alberta
FundersFood Security Research Center, Isfahan University of Medical SciencesAlzahra UniversityIsfahan University of Medical Sciences
KeywordsMedicineStroke (engine)Stroke riskEmergency medicineIschemic strokeInternal medicineMechanical engineering

Abstract

fetched live from OpenAlex

INTRODUCTION: The aim of the present study was to ascertain the correlation between the intake of whole and refined grains and the risk of stroke in the Iranian adult population. METHOD: This hospital-based case-control study was conducted at Alzahra University Hospital, Isfahan, Iran, in 2008. The cases (n=195) were stroke patients admitted to the neurology ward, and the controls (n=195) were patients admitted to other wards in this center, with no prior history of cerebrovascular accident or any neurological disorders. The usual dietary intakes of the study participants during the previous year were assessed using a validated semi-quantitative food frequency questionnaire. Whole and refined grains were defined according to the definition of the American Association of Cereal Chemists International; foods that contained at least 8 g per 30 g of their weight were considered as whole grains. RESULTS: The mean age of the case and control groups was 68.0 (±13.5) and 61.5 (±10.5) years, respectively; 40% of the cases and 53.3% of the controls were female. The total intake of whole grains (27.8±4.3 vs. 29.4±3.6 g/d, P=0.77) and refined grains (264±11 vs. 296±13 g/d, P=0.07) was not significantly different between the cases and controls. After adjusting for potential confounders, individuals in the second tertile of refined grain intake had a two-fold higher odds of stroke (OR: 2.02; 95% CI: 1.08-3.71), compared to those in the first tertile. Furthermore, no significant relationships were observed between the consumption of whole grains and the risk of stroke, before or after adjustment for confounding variables. No significant trend was found between the tertiles of refined or whole grain intake and the risk of stroke. CONCLUSION: The authors did not find a statistically significant association between the intake of whole and refined grains and the risk of stroke. Further prospective studies on the relationship between both whole and refined grains and stroke are warranted.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.005
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.020
GPT teacher head0.228
Teacher spread0.208 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2023
Admission routes1
Has abstractyes

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