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Record W4401913641 · doi:10.1159/000497730

Effects of inulin fibre Supplementation on Serum Glucose and Lipid Concentration in Patients with Type 2 Diabetes

2019· article· en· W4401913641 on OpenAlexaff
Nana Kofi Afum Bonsu, Shanthi Johnson

Bibliographic record

VenueInternational Journal of Diabetes and Metabolism · 2019
Typearticle
Languageen
FieldNursing
TopicMicrobial Metabolites in Food Biotechnology
Canadian institutionsSaskatchewan HealthUniversity of Regina
Fundersnot available
KeywordsInulinType 2 diabetesInternal medicineDiabetes mellitusEndocrinologySerum glucoseChemistryFood scienceMedicine

Abstract

fetched live from OpenAlex

Individuals who develop type 2 diabetes increase their chances of developing other health concerns such as cardiovascular disease. Soluble fibre has been shown to have positive effects on serum lipid and glucose levels. Inulin is a type of soluble fibre whose effects on serum lipid and glucose levels in individuals with type 2 diabetes are inconclusive due to the few studies that have been conducted. This study examined the effects of daily intake of 10 g of inulin-based fibre. This study included 36 individuals diagnosed with type 2 diabetes. Using a randomized, double-blind design patients consumed 10 g of either an inulin fibre supplement or xylitol as a placebo for 12-weeks. Compliance, expressed as the proportion of supplements not returned, was near 100% for both treatments. Inulin supplementation did not significantly affect fasting concentrations of serum total cholesterol, HDL cholesterol, LDL cholesterol, serum triglycerides, serum glucose, or hemoglobin A1c values. These results indicate that daily consumption of 10 g of inulin for 12 weeks does not affect serum lipid and glucose levels in patients with type 2 diabetes.The significant finding(s) of the Study: Short term supplementation of inulin is not effective in changing serum glucose and lipid profiles among those with type 2 diabetes.The study adds: Inulin supplementation on a short term may not be needed or effective in changing serum glucose and lipid profiles among individuals with well managed diabetes.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.115
Threshold uncertainty score0.387

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.002
GPT teacher head0.214
Teacher spread0.211 · 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 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

Citations26
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueInternational Journal of Diabetes and MetabolismSame topicMicrobial Metabolites in Food BiotechnologyFrench-language works237,207