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Record W2585089035 · doi:10.9734/bjmmr/2016/23762

Poor Cardiovascular Risk Profile Following a Vegan Diet: A Case Report

2016· article· en· W2585089035 on OpenAlexaff
Olivia Hanna Koury, Andreas Bergdahl

Bibliographic record

VenueBritish Journal of Medicine and Medical Research · 2016
Typearticle
Languageen
FieldEnvironmental Science
TopicAgriculture Sustainability and Environmental Impact
Canadian institutionsConcordia University
Fundersnot available
KeywordsMedicineVegan DietInternal medicineTraditional medicine

Abstract

fetched live from OpenAlex

Introduction: Vegetarianism and veganism are becoming increasingly popular in North America due to reasons ranging from environmental motives to animal rights.While the vegetarian lifestyle allows some egg and dairy items, vegans completely abstain from all animal products in favour of plant-based diets.Of additional interest to vegans, are the health benefits associated with cardiovascular disease, type 2 diabetes, weight loss and some particular forms of cancer.Case Presentation: Numerous studies have demonstrated drastic improvements in lipid markers such as low-density lipoprotein and total cholesterol that follows vegan dieting when compared to vegetarians or omnivores.This case report discusses a female patient who revealed abnormal lipid markers following blood analysis, despite observing a strict vegan diet for two years. Conclusion:It is questioned whether a vegan diet and its associated macronutrients are indeed beneficial for cholesterol levels or if adhering to this diet require more thorough investigation for an overall reduced risk of cardiovascular disease.

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)0.012
metaresearch head score (Gemma)0.015
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.548
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0120.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.023
GPT teacher head0.324
Teacher spread0.300 · 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.

Study designCase report
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
Published2016
Admission routes1
Has abstractyes

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