Evidence map›Paper›PMID 27604773›Full record

Trial reportThe American journal of clinical nutrition2016

Estimating the reliability of glycemic index values and potential sources of methodological and biological variability.

Nirupa R Matthan, Lynne M Ausman, Huicui Meng, Hocine Tighiouart, Alice H Lichtenstein

Registry-linked trialOpen access · bronzeAbstract readClinical Trial
In one paragraph

Trial report in The American journal of clinical nutrition, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01023646 (Evaluation of Glycemic Index to Assess Diet Associated Chronic Disease Risk), which is not on this map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed
10.2field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT01023646 nacompletednot on this map

Evaluation of Glycemic Index to Assess Diet Associated Chronic Disease Risk

TypeinterventionalSponsorTufts UniversityRan2007 to 2016Enrolled124ConditionsDiabetes, Obesity, Metabolic Syndrome, Cardiovascular DiseaseArmsCarbohydrate + Protein, Carbohydrate + Fat, Fiber, Carbohydrate load
3 · Its place in the literature

Who cites it

46 citing papers in PubMed, 106 citations in OpenAlex.

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  11. Should carbohydrate-modified diets be the first option for weight loss in people with impaired glucose metabolism? A scoping review.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2024
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Nirupa R MatthanJean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, Boston, MA; and nirupa.matthan@tufts.edu.
Lynne M AusmanJean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, Boston, MA; and.
Huicui MengJean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, Boston, MA; and.
Hocine TighiouartTufts Clinical and Translational Science Institute, Tufts Medical Center, Boston, MA.
Alice H LichtensteinJean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, Boston, MA; and.ORCID 0000-0002-1053-9478
Tufts University · USTufts Medical Center · US

Funding

Tufts Clinical and Translational Research InstituteUL1TR001064 · NCATS · TUFTS UNIVERSITY BOSTON · PI SELKER, HARRY P. · 2013 to 2017
$26.4M
NCATS NIH HHS UL1 TR001064
6 · The paper itself

Abstract

backgroundThe utility of glycemic index (GI) values for chronic disease risk management remains controversial. Although absolute GI value determinations for individual foods have been shown to vary significantly in individuals with diabetes, there is a dearth of data on the reliability of GI value determinations and potential sources of variability among healthy adults.

objectiveWe examined the intra- and inter-individual variability in glycemic response to a single food challenge and methodologic and biological factors that potentially mediate this response.

designThe GI value for white bread was determined by using standardized methodology in 63 volunteers free from chronic disease and recruited to differ by sex, age (18-85 y), and body mass index [BMI (in kg/m

resultsThe mean ± SD GI value for white bread was 62 ± 15 when calculated by using the recommended method. Mean intra- and interindividual CVs were 20% and 25%, respectively. Increasing sample size, replication of reference and test foods, and length of blood sampling, as well as AUC calculation method, did not improve the CVs. Among the biological factors assessed, insulin index and glycated hemoglobin values explained 15% and 16% of the variability in mean GI value for white bread, respectively.

conclusionsThese data indicate that there is substantial variability in individual responses to GI value determinations, demonstrating that it is unlikely to be a good approach to guiding food choices. Additionally, even in healthy individuals, glycemic status significantly contributes to the variability in GI value estimates. This trial was registered at clinicaltrials.gov as NCT01023646.

Indexed as

DietGlycemic IndexResearch DesignAdultAgedArea Under CurveBlood GlucoseBreadDietary CarbohydratesFemaleGlycated HemoglobinHumansInsulinMaleMiddle AgedPhenotypeBlood GlucoseDietary CarbohydratesGlycated HemoglobinInsulinglycated hemoglobinglycemic indexhealthy volunteersinsulin indexvariability

Identifiers

PMID27604773
PMCPMC5039811
OpenAlexW2510210306

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.