Evidence map›Paper›PMID 39458552›Full record

ArticleNutrients2024

The Contribution of Postprandial Glucose Levels to Hyperglycemia in Type 2 Diabetes Calculated from Continuous Glucose Monitoring Data: Real World Evidence from the DIALECT-2 Cohort.

Niala den Braber, Miriam M R Vollenbroek-Hutten, Sacha E M Teunissen, Milou M Oosterwijk, Kilian D R Kappert, Gozewijn D Laverman

Abstract read
In one paragraph

Article in Nutrients, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Trial
  2. Article
  3. 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

6 authors.

Niala den BraberDivision of Nephrology, Department of Internal Medicine, Ziekenhuisgroep Twente, 7609 PP Almelo, The Netherlands.ORCID 0000-0002-9098-3439
Miriam M R Vollenbroek-HuttenBiomedical Signals and Systems, Faculty of Electrical Engineering, Mathematics and Computer Science, Technical Medical Centre, University of Twente, 7522 NB Enschede, The Netherlands.ORCID 0000-0001-8730-1487
Sacha E M TeunissenDivision of Nephrology, Department of Internal Medicine, Ziekenhuisgroep Twente, 7609 PP Almelo, The Netherlands.ORCID 0009-0009-0622-9854
Milou M OosterwijkDivision of Nephrology, Department of Internal Medicine, Ziekenhuisgroep Twente, 7609 PP Almelo, The Netherlands.ORCID 0000-0002-3256-0630
Kilian D R KappertBiomedical Photonic Imaging, Faculty of Science and Technology, Technical Medical Centre, University of Twente, 7522 NB Enschede, The Netherlands.ORCID 0000-0002-1278-205X
Gozewijn D LavermanDivision of Nephrology, Department of Internal Medicine, Ziekenhuisgroep Twente, 7609 PP Almelo, The Netherlands.ORCID 0000-0002-8716-7115

Funding

Nederlandse Organisatie voor Wetenschappelijk Onderzoek (NWO) 628.011.02
6 · The paper itself

Abstract

BACKGROUND/

objectivesTraditional glycemic monitoring in type 2 diabetes is limited, whereas continuous glucose monitoring (CGM) offers better insights into glucose fluctuations. This study aimed to determine the correlations and relative contributions of fasting plasma glucose (FPG) and postprandial plasma glucose (PPG) levels to hyperglycemia.

methodsWe utilized CGM and recorded carbohydrate intake data from lifestyle diaries of 59 patients enrolled in the Diabetes and Lifestyle Cohort Twente (DIALECT-2). Correlations between FPG and the glucose management indicator (GMI), FPG and Time Above Range (TAR), PPG and GMI, and PPG and TAR were conducted. Daily and mealtime relative contributions of PPG and FPG to glycated hemoglobin (HbA

resultsFPG and PPG correlated with GMI (r = 0.82 and 0.41, respectively,

conclusionsBoth PPG and FPG contribute to hyperglycemia, with PPG playing a larger role in patients with better glycemic control, especially after breakfast. Targeting PPG may be crucial for optimizing glucose management.

Indexed as

Blood GlucoseBlood Glucose Self-MonitoringDiabetes Mellitus, Type 2Glycated HemoglobinHyperglycemiaPostprandial PeriodAgedCohort StudiesContinuous Glucose MonitoringDietary CarbohydratesFastingFemaleHumansMaleMealsMiddle AgedBlood GlucoseDietary CarbohydratesGlycated Hemoglobincarbohydratescontinuous glucose monitoring (CGM)fasting plasma glucoseglucose managementHemoglobin A1c (HbA1c)hyperglycemiapostprandial plasma glucoseType 2 diabetes

Identifiers

PMID39458552
PMCPMC11510104

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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.