Evidence map›Paper›PMID 32766882›Full record

ArticleThe American journal of clinical nutrition2020

Imprecision nutrition? Different simultaneous continuous glucose monitors provide discordant meal rankings for incremental postprandial glucose in subjects without diabetes.

Rebecca Howard, Juen Guo, Kevin D Hall

Registry-linked trialOpen access · greenAbstract read
In one paragraph

Article in The American journal of clinical nutrition, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03407053 (Effect of Ultra Processed Versus Unprocessed Diets on Energy Intake), which is not on this map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
4.0field-weighted citation impact, top 6% 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.

NCT03407053 nacompletednot on this map

Effect of Ultra Processed Versus Unprocessed Diets on Energy Intake

TypeinterventionalSponsorNational Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)Ran2018 to 2020Enrolled20ConditionsHealthy DietArmsUltra-processed diet, Unprocessed diet
3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 34 citations in OpenAlex.

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  4. Effect of high-amyloseFood & function · 2022
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  18. Hemoglobin ADiabetes care · 2021
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Rebecca HowardNational Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, MD.
Juen GuoNational Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, MD.
Kevin D HallNational Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, MD.
National Institute of Diabetes and Digestive and Kidney Diseases · US

Funding

Modeling interactions of diet, exercise, metabolism, and weight change in humansZIADK013037 · NIDDK · NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES · PI DARCEY, VALERIE · 2009 to 2025
$10.8M
6 · The paper itself

Abstract

backgroundHigh postprandial glucose excursions may increase risk for disease. Individuals have widely varying glucose responses to different meals, and precision nutrition approaches often seek to personalize diets to minimize postprandial glycemic responses as measured by continuous glucose monitors (CGMs). However, it is unknown whether different CGM devices result in concordant meal rankings according to postprandial glycemic excursions.

objectiveWe explored whether meal rankings according to postprandial glycemic excursions differ between 2 simultaneously worn CGMs.

methodsWe collected 27,489 simultaneous measurements from Dexcom G4 Platinum and Abbott Freestyle Libre Pro CGMs during 28 inpatient days in 16 adults without diabetes. Simultaneous glucose measurements obtained for 2 h following 760 ad libitum meals were used to compare within-subject meal rankings between the CGM devices according to their incremental glucose response.

resultsPostprandial responses to ad libitum meals were highly variable, with the Abbott and Dexcom systems resulting in within-subject incremental mean ± SD glucose CVs of 91.7 ± 1.9% and 94.2 ± 2.7%, respectively. Within-subject meal rankings for incremental glycemic responses were relatively discordant between CGMs, with a mean Kendall rank correlation coefficient of 0.43 ± 0.05. Meals in the bottom compared with those in the top half of incremental glycemic responses ranked by Abbott resulted in 50 ± 10% (P = 0.0002) less glycemic reduction as measured by Dexcom, and vice versa. The missing glycemic reduction by eating meals ranked according to the discordant CGM was inversely correlated with each subject's Kendall rank correlation coefficient (r = -0.95; P < 0.0001).

conclusionsPrecision nutrition approaches that use CGMs to personalize meal recommendations for minimizing glycemic excursions may be premature given the discordance of within-subject meal rankings between simultaneous CGM devices. More research is needed to clarify the source of this imprecision. This trial was registered at clinicaltrials.gov as NCT03407053.

Indexed as

Nutritional StatusPrecision MedicineAdultBlood GlucoseFemaleHumansMaleMealsNutritional SciencesPostprandial PeriodBlood Glucosecontinuous glucose monitorglucose variabilityglycemiapersonalized nutritionprecision nutrition

Identifiers

PMID32766882
PMCPMC7528568
OpenAlexW3047732303

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.