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Record W4309883801 · doi:10.54097/hset.v19i.2662

Effects of Taking Magnesium Supplements for Diabetics and Those with A High Risk of Diabetes

2022· article· en· W4309883801 on OpenAlexaff
Jinling He

Bibliographic record

VenueHighlights in Science Engineering and Technology · 2022
Typearticle
Languageen
FieldNursing
TopicMagnesium in Health and Disease
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsInsulin resistanceDiabetes mellitusMedicineBlood sugarInternal medicineInsulinEndocrinologyMagnesiumRisk factorSugarBiologyBiochemistryChemistry

Abstract

fetched live from OpenAlex

Diabetes is a common disease occurring around the world. Patients usually have high blood sugar and many complications. Diabetes is typically caused by an inability to use insulin or damage to beta-cells. Magnesium is a co-factor involved in glycolysis and activation of insulin use, so by examining trials including magnesium supplementation in individuals with all forms of diabetes, this research investigated if taking magnesium supplements had an association with blood glucose and insulin resistance in diabetics or those with a high risk of diabetes. Ten trials in this paper are analyed to figure out whether magnesium supplement is associated with blood sugar and insulin resistance in diabetics and those with high risk of this diseased. Eight trials showed an association between consuming Mg supplement and lower blood sugar and insulin resistance, but two trials concluded there was no association. The differences in the results may be caused by different blood magnesium levels or ethnic groups of participants, which needs further analysis.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.485
Threshold uncertainty score0.366

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.004
GPT teacher head0.223
Teacher spread0.219 · 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 designBench or experimental
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
Published2022
Admission routes1
Has abstractyes

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