Evidence map›Paper›PMID 42681830›Full record

ArticleDiabetes, obesity & metabolism2026

Dysglycaemia and Autonomic Dysfunction: The Diabetes Prevention Program Outcomes Study.

Justin B Echouffo-Tcheugui, Xun Liu, Elsayed Z Soliman, Xavier Pi-Sunyer, Sherita H Golden, Sam Dagogo-Jack, Neil H White, Matthew Budoff, Uzoma Ibebuogu, Christine Darwin and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Diabetes, obesity & metabolism, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

13 authors.

Justin B Echouffo-TcheuguiDivision of Endocrinology, Diabetes & Metabolism, Department of Medicine, Johns Hopkins University, Baltimore, Maryland, USA.ORCID https://orcid.org/0000-0002-8460-1617
Xun LiuBiostatistics Center and Department of Biostatistics and Bioinformatics, Milken Institute School of Public Health, George Washington University, Rockville, Maryland, USA.
Elsayed Z SolimanEpidemiological Cardiology Research Center, Department of Internal Medicine, Section on Cardiovascular Medicine, Wake Forest School of Medicine, Winston Salem, North Carolina, USA.
Xavier Pi-SunyerDivision of Cardiology, Department of Medicine, Columbia University School of Medicine, New York, New York, USA.
Sherita H GoldenDivision of Endocrinology, Diabetes & Metabolism, Department of Medicine, Johns Hopkins University, Baltimore, Maryland, USA.
Sam Dagogo-JackDepartment of Medicine, University of Tennessee Health Science Center, Memphis, Tennessee, USA.
Neil H WhiteDepartment of Pediatrics, Washington University in St. Louis School of Medicine, St. Louis, Missouri, USA.
Matthew BudoffDivision of Cardiology, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, California, USA.
Uzoma IbebuoguDepartment of Medicine, University of Tennessee Health Science Center, Memphis, Tennessee, USA.
Christine DarwinBiostatistics Center and Department of Biostatistics and Bioinformatics, Milken Institute School of Public Health, George Washington University, Rockville, Maryland, USA.
William C KnowlerBiostatistics Center and Department of Biostatistics and Bioinformatics, Milken Institute School of Public Health, George Washington University, Rockville, Maryland, USA.
Marinella TemprosaBiostatistics Center and Department of Biostatistics and Bioinformatics, Milken Institute School of Public Health, George Washington University, Rockville, Maryland, USA.
DPP Research Group

Funding

American Diabetes AssociationDivision of Cancer EpidemiologyJG CDC HHSNational Heart Lung and Blood InstituteNational Institute of Child Health and Human DevelopmentNational Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) of the National Institutes of Health (NIH)NEI NIH HHSNIA NIH HHSNIDDKNIMHD NIH HHSOffice of Research on Women's Health
6 · The paper itself

Abstract

aimLimited data on the link between various measures of glycemia and metabolism and autonomic dysfunction exist. We assessed the association of fasting plasma glucose [FPG], glycated haemoglobin [HbA

methodsWe included DPPOS participants with ECG-based heart rate variability (HRV) measured at the 10-year examination. Resting heart rate (HR), standard deviation of all normal-to-normal intervals (SDNN), and root mean square of successive differences between normal-to-normal intervals (rMSSD) were measured. Multivariable linear regression models assessed the cross-sectional associations of FPG, HbA

resultsAmong 2266 participants (mean age 65 years, 68.2% women, 53.4% White, 43.7% with prediabetes and 56.3% with diabetes at the time of evaluation), HbA

conclusionsMarkers of dysglycaemia are associated with worse ECG-based autonomic dysfunction in adults with prediabetes and diabetes in the DPPOS, more so for some glycaemic markers and in women.

Indexed as

Autonomic Nervous System DiseasesDiabetes Mellitus, Type 2Diabetic NeuropathiesPrediabetic StateAgedAutonomic Nervous SystemBlood GlucoseCross-Sectional StudiesFastingFemaleGlycated HemoglobinHeart RateHumansInsulinInsulin ResistanceMaleBlood GlucoseGlycated Hemoglobinhemoglobin A1c protein, humanInsulinautonomic dysfunctionHbA1Cprediabetestype 2 diabetes

Identifiers

PMID42681830
PMCPMC13646355

What OpenQuestion holds

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Registered trials

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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.