Evidence map›Paper›PMID 39755436›Full record

Trial reportThe American journal of clinical nutrition2025

Imprecision nutrition? Intraindividual variability of glucose responses to duplicate presented meals in adults without diabetes.

Aaron Hengist, Jude Anthony Ong, Katherine McNeel, Juen Guo, Kevin D Hall

3 registry-linked trialsAbstract readClinical Trial
In one paragraph

Trial report in The American journal of clinical nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
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
NCT03878108 nacompletednot on this map

Effect of Low Fat Versus Low Carbohydrate Diets on Energy Metabolism

TypeinterventionalSponsorNational Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)Ran2019 to 2020Enrolled21ConditionsHealthy, Healthy VolunteersArmsLCHF diet, LFHC diet
NCT07626658 not yet recruitingnot on this mapstarted 2026, after this paper: background citation

Food_i Sense Analytics: Integrando la Inteligencia Artificial Con la monitorización Continua de la Glucosa Para la nutrición de precisión

TypeobservationalSponsorIMDEA FoodRan2026 to 2028Enrolled471ConditionsPrediabetes (Insulin Resistance, Impaired Glucose Tolerance), Artificial Intelligence Mobile ApplicationArmsContinuous glucose monitoring using a wearable sensor (flash interstitial glucose monitor)
3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Observational
  6. Review
  7. Protocol of a Series ofCurrent developments in nutrition · 2025
    Article
  8. Review
  9. Article
  10. Article
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

5 authors.

Aaron HengistLaboratory of Biological Modeling, National Institute of Diabetes and Digestive and Kidney Diseases, NIH, Bethesda, MD, United States.
Jude Anthony OngLaboratory of Biological Modeling, National Institute of Diabetes and Digestive and Kidney Diseases, NIH, Bethesda, MD, United States.
Katherine McNeelLaboratory of Biological Modeling, National Institute of Diabetes and Digestive and Kidney Diseases, NIH, Bethesda, MD, United States.
Juen GuoLaboratory of Biological Modeling, National Institute of Diabetes and Digestive and Kidney Diseases, NIH, Bethesda, MD, United States.
Kevin D HallLaboratory of Biological Modeling, National Institute of Diabetes and Digestive and Kidney Diseases, NIH, Bethesda, MD, United States. Electronic address: kevin.hall@nih.gov.

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
Intramural NIH HHS ZIA DK013037
6 · The paper itself

Abstract

backgroundContinuous glucose monitors (CGMs) are used to characterize postprandial glucose responses and provide personalized dietary advice to minimize glucose excursions. The efficacy of such advice depends on reliable glucose responses.

objectivesTo explore within-subject variability of CGM responses to duplicate presented meals in an inpatient setting.

methodsCGM data were collected from two inpatient feeding studies in 30 participants without diabetes, capturing 1189 responses to duplicate meals presented ∼1 wk apart from four dietary patterns. One study used two different CGMs (Abbott Freestyle Libre Pro and Dexcom G4 Platinum) whereas the other study used only Dexcom. We calculated the incremental area under the curve (iAUC) for glucose for each 2-h postmeal period and compared within-subject, within-CGM responses to duplicate presented meals using linear correlations, intra-class correlation coefficients (ICC), and Bland-Altman analyses. Individual variability of interstitial glucose responses to duplicate meals were also compared with different meals using standard deviations (SDs).

resultsThere were weak-to-moderate positive linear correlations between within-subject iAUCs for duplicate meals [Abbott r = 0.46, 95% confidence interval (CI): 0.38, 0.54, P < 0.0001 and Dexcom r = 0.45, 95% CI: 0.39, 0.50, P < 0.0001], with low within-participant reliability indicated by ICC (Abbott 0.28, Dexcom 0.17). Bland-Altman analyses indicated wide limits of agreement (LoA) (Abbott -29.8 to 28.4 mg/dL and Dexcom -29.4 to 32.1 mg/dL) but small bias of mean iAUCs for duplicate meals (Abbott -0.7 mg/dL and Dexcom 1.3 mg/dL). The individual variability of interstitial glucose responses to duplicate meals was similar to that of different meals evaluated each diet week for both Abbott [SD

conclusionsIndividual postprandial CGM responses to duplicate meals were highly variable in adults without diabetes. Personalized diet advice on the basis of CGM measurements requires more reliable methods involving aggregated repeated measurements. This trial was registered at clinicaltrials.gov as NCT03407053 and NCT03878108.

Indexed as

Blood GlucoseMealsPostprandial PeriodAdultBlood Glucose Self-MonitoringFemaleHumansMaleMiddle AgedReproducibility of ResultsYoung AdultBlood GlucoseCGMcontinuous glucose monitorglucose variabilitypersonalized nutritionprecision nutrition

Identifiers

PMID39755436
PMCPMC11747189

What Socratic 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 Socratic graph.