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Record W2752381628 · doi:10.5206/wurjhns.2017-18.27

Vitamin D Deficiency in Patients with Type 2 Diabetes Mellitus Leads to Vascular Complications

2017· article· en· W2752381628 on OpenAlexaffvenue
Salimah Navaz Gangji

Bibliographic record

VenueWestern Undergraduate Research Journal Health and Natural Sciences · 2017
Typearticle
Languageen
FieldMedicine
TopicVitamin D Research Studies
Canadian institutionsWestern University
Fundersnot available
KeywordsType 2 Diabetes MellitusVitamin D and neurologyMedicineInsulin resistancevitamin D deficiencyDiabetes mellitusType 2 diabetesCalcitriol receptorDiseaseEndothelial dysfunctionVitaminEndocrinologyInternal medicineBioinformaticsIntensive care medicineBiology

Abstract

fetched live from OpenAlex

The presence of hyperglycemia in individuals with Type 2 Diabetes Mellitus (T2DM) is associated with systemic complications within multiple organ systems. Specifically, patients with T2DM have an increased risk of developing vascular endothelial damage. Interestingly, patients with T2DM are often found to be deficient in vitamin D, a fat-soluble vitamin that not only plays a role in bone growth and gastrointestinal nutrient absorption, but insulin resistance as well. Thus, the purpose of this review is to summarize the literature that associates vitamin D deficiencies with vascular complications in both human and animal models with T2DM. This review will also summarize developments in genetic testing for VDR mutations and their potential role in diabetes progression, as well as the effects of vitamin D supplementation in patients with T2DM. Since T2DM is an increasingly prevalent disease, it is important to continue evaluating current research that investigates not only genetic causal factors for the disease, but also preventative options (such as vitamin D supplementation) that could potentially be used alongside pharmacological treatments.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.061
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.061
GPT teacher head0.413
Teacher spread0.352 · 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 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

Citations1
Published2017
Admission routes2
Has abstractyes

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