Evidence mapPaperPMID 30101510Full record

Trial reportDiabetes, obesity & metabolism2019

The impact of food order on postprandial glycaemic excursions in prediabetes.

Alpana P Shukla, Morgan Dickison, Natasha Coughlin, Ampadi Karan, Elizabeth Mauer, Wanda Truong, Anthony Casper, Ana B Emiliano, Rekha B Kumar, Katherine H Saunders and 2 more

Registry-linked trialAbstract readClinical Trial
In one paragraph

Trial report in Diabetes, obesity & metabolism, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05121844 (Use of Continuous Glucose Monitoring in Non-Diabetic Population to Compliment Signos Mobile Health Platform), which is not on this map. Cited by 40 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 1 pooled it
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.

NCT05121844 naactive not recruitingnot on this mapstarted 2021, after this paper: background citation

Use of Continuous Glucose Monitoring in Non-Diabetic Population to Compliment Signos Mobile Health Platform: Comprehensive Weight Optimization Program and Customized Lifestyle Modifications

TypeinterventionalSponsorSignos IncRan2021 to 2027Enrolled31,187ConditionsWeight Loss, Metabolic Syndrome, Pre-diabetes, Central ObesityArmsContinuous Glucose Monitor Device
3 · Its place in the literature

Who cites it

40 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  10. Article
  11. Optimizing Continuous Glucose Monitoring Adoption in India: From Current Challenges to Future Solutions.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2026
    Review
  12. Article
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  19. Manipulation of Post-Prandial Hyperglycaemia in Type 2 Diabetes: An Update for Practitioners.Diabetes, metabolic syndrome and obesity : targets and therapy · 2024
    Review
  20. Review
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

12 authors.

Alpana P ShuklaComprehensive Weight Control Center, Division of Endocrinology, Diabetes, & Metabolism, Weill Cornell Medicine, New York, New York.ORCID 0000-0002-4763-2350
Morgan DickisonComprehensive Weight Control Center, Division of Endocrinology, Diabetes, & Metabolism, Weill Cornell Medicine, New York, New York.
Natasha CoughlinComprehensive Weight Control Center, Division of Endocrinology, Diabetes, & Metabolism, Weill Cornell Medicine, New York, New York.
Ampadi KaranComprehensive Weight Control Center, Division of Endocrinology, Diabetes, & Metabolism, Weill Cornell Medicine, New York, New York.
Elizabeth MauerDepartment of Healthcare Policy & Research, Weill Cornell Medicine, New York, New York.
Wanda TruongComprehensive Weight Control Center, Division of Endocrinology, Diabetes, & Metabolism, Weill Cornell Medicine, New York, New York.
Anthony CasperComprehensive Weight Control Center, Division of Endocrinology, Diabetes, & Metabolism, Weill Cornell Medicine, New York, New York.
Ana B EmilianoRockefeller University, New York, New York.
Rekha B KumarComprehensive Weight Control Center, Division of Endocrinology, Diabetes, & Metabolism, Weill Cornell Medicine, New York, New York.
Katherine H SaundersComprehensive Weight Control Center, Division of Endocrinology, Diabetes, & Metabolism, Weill Cornell Medicine, New York, New York.
Leon I IgelComprehensive Weight Control Center, Division of Endocrinology, Diabetes, & Metabolism, Weill Cornell Medicine, New York, New York.ORCID 0000-0001-6052-3610
Louis J AronneComprehensive Weight Control Center, Division of Endocrinology, Diabetes, & Metabolism, Weill Cornell Medicine, New York, New York.

Funding

Clinical and Translational Science CenterUL1TR002384 · WEILL MEDICAL COLL OF CORNELL UNIV · 2025 to 2025
$9.8M
NCATS NIH HHS UL1 TR000457NCATS NIH HHS UL1 TR002384
6 · The paper itself

Abstract

Data suggest that nutrient order during a meal significantly impacts postprandial glucose and insulin excursions in type 2 diabetes, while its effects in prediabetes have not been reported. Fifteen participants with prediabetes consumed the same meal on 3 days in random order: carbohydrate first, followed 10 minutes later by protein and vegetables (CF); protein and vegetables first, followed 10 minutes later by carbohydrate (PVF); or vegetables first followed by protein and carbohydrate (VF). Blood was sampled for glucose and insulin measurements at 0, 30, 60, 90, 120, 150 and 180 minutes. Incremental glucose peaks were similarly attenuated by >40% in the PVF and VF meal conditions compared with CF. The incremental area under the curve for glucose was 38.8% lower following the PVF meal order, compared with CF, and postprandial insulin excursions were significantly lower in the VF meal condition compared with CF. The CF meal pattern showed marked glycaemic variability whereas glucose levels were stable in the PVF and VF meal conditions. Food order presents a novel, simple behavioural strategy to reduce glycaemic excursions in prediabetes.

Indexed as

AdultAgedBlood GlucoseCross-Over StudiesFeeding BehaviorFemaleHumansHyperglycemiaInsulinMaleMealsMiddle AgedPostprandial PeriodPrediabetic StateRetrospective StudiesBlood GlucoseInsulinclinical physiologydietary intervention

Identifiers

PMID30101510
PMCPMC7398578

What Socratic holds

Textmetadata
LicenceTDM
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.