MétaCan
Menu
Back to cohort
Record W3168230661 · doi:10.1093/cdn/nzab053_011

Low Glycemic Index/Load Dietary Patterns and Glycemia and Cardiometabolic Risk Factors in Diabetes: A Systematic Review and Meta-Analysis of Randomized Controlled Trials

2021· review· en· W3168230661 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCurrent Developments in Nutrition · 2021
Typereview
Languageen
FieldMedicine
TopicDiet and metabolism studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMedicineType 2 diabetesGlycemicDiabetes mellitusInternal medicineOverweightRandomized controlled trialMeta-analysisGlycemic indexBody mass indexCochrane LibraryInsulinGlycemic loadEndocrinology

Abstract

fetched live from OpenAlex

Low-glycemic index (GI) and load (GL) dietary patterns are recommended for diabetes management by clinical practice guidelines globally. To inform the update of the European Association for the Study of Diabetes (EASD) clinical practice guidelines for nutrition therapy, we conducted a systematic review and meta-analysis on the effect of low-GI/GL dietary patterns on glycemic control and other established cardiometabolic risk factors in type 1 and 2 diabetes. MEDLINE, EMBASE, and the Cochrane Library were searched through November 2020. We included randomized controlled trials ≥3-weeks investigating the effect of low-GI/GL diets in diabetes. The primary outcome was HbA1c. Two independent reviewers extracted data and assessed risk of bias. GRADE (grading of recommendations assessment, development, and evaluation) assessed the certainty of the evidence. (ClinicalTrials.gov identifier, NCT04045938) We identified 30 trial comparisons in 1,672 participants with type 1 and 2 diabetes who were predominantly middle-aged, overweight or obese with moderately controlled type 2 diabetes treated by antihyperglycemic agents and/or insulin. Low-GI/GL dietary patterns significantly reduced HbA1c compared with higher-GI/GL control diets (mean difference −0.32% [95% confidence interval −0.48, −0.16%], P < 0.001; substantial heterogeneity, I2 = 74%, P < 0.001). There were also significant reductions in several secondary outcomes: fasting glucose, LDL-C, non-HDL-C, body weight, BMI, and CRP (P < 0.05), but not insulin or blood pressure. The certainty of evidence was moderate for the reduction in HbA1c and most secondary outcomes. Our synthesis indicates that low-GI/GL dietary patterns improve established targets of glycemic control, blood lipids, adiposity and inflammation beyond concurrent therapy with antihyperglycemic agents and/or insulin in moderately controlled type 1 and type 2 diabetes. The available evidence provides a good indication of the likely benefit in this population with moderate likelihood that more research will alter our conclusions. Diabetes and Nutrition Study Group of the EASD, CIHR.

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.

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)0.007
metaresearch head score (Gemma)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Meta-epidemiology (broad)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.567
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.008
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0710.004
Bibliometrics0.0020.002
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 head0.093
GPT teacher head0.377
Teacher spread0.284 · 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