Evidence mapPaperPMID 39705138Full record

ArticleDiabetes care2025

Glucose Abnormalities Detected by Continuous Glucose Monitoring in Very Old Adults With and Without Diabetes.

Natalie R Daya, Michael Fang, Dan Wang, Arielle Valint, B Gwen Windham, Josef Coresh, Justin B Echouffo-Tcheugui, Elizabeth Selvin

Abstract read
In one paragraph

Article in Diabetes care, 2025. 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. Article
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  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

8 authors.

Natalie R DayaThe Welch Center for Prevention, Epidemiology and Clinical Research, Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.ORCID 0000-0002-2257-0480
Michael FangThe Welch Center for Prevention, Epidemiology and Clinical Research, Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.ORCID 0000-0003-2849-1780
Dan WangThe Welch Center for Prevention, Epidemiology and Clinical Research, Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Arielle ValintCollaborative Studies Coordinating Center, University of North Carolina Gillings School of Public Health, Chapel Hill, NC.
B Gwen WindhamMemory Impairment and Neurodegenerative Dementia (MIND) Center, Department of Medicine, University of Mississippi Medical Center, Jackson, MS.
Josef CoreshThe Welch Center for Prevention, Epidemiology and Clinical Research, Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Justin B Echouffo-TcheuguiThe Welch Center for Prevention, Epidemiology and Clinical Research, Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.ORCID 0000-0002-8460-1617
Elizabeth SelvinThe Welch Center for Prevention, Epidemiology and Clinical Research, Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.ORCID 0000-0001-6923-7151

Funding

THE ATHEROSCLEROSIS RISK IN COMMUNITIES (ARIC) STUDY - COORDINATING CENTER - TASK AREA B.2 AND B.375N92022D00001 · UNIV OF NORTH CAROLINA CHAPEL HILL · 2025 to 2025
$3.8M
CARDIOVASCULAR EPIDEMIOLOGY INSTITUTIONAL TRAININGT32HL007024 · JOHNS HOPKINS UNIVERSITY · 1985 to 2025
$3.7M
THE ATHEROSCLEROSIS RISK IN COMMUNITIES (ARIC) STUDY - FIELD CENTER - TASK ORDER 01, TASK AREA A75N92022D00005 · WAKE FOREST UNIVERSITY HEALTH SCIENCES · 2025 to 2025
$1.5M
THE ATHEROSCLEROSIS RISK IN COMMUNITIES (ARIC) STUDY - FIELD CENTER - TASK ORDER 01, TASK AREA A75N92022D00003 · UNIVERSITY OF MINNESOTA · 2025 to 2025
$1.5M
THE ATHEROSCLEROSIS RISK IN COMMUNITIES (ARIC) STUDY - FIELD CENTER - TASK ORDER 01, TASK AREA A75N92022D00004 · UNIVERSITY OF MISSISSIPPI MED CTR · 2025 to 2025
$1.4M
THE ATHEROSCLEROSIS RISK IN COMMUNITIES (ARIC) STUDY - FIELD CENTER - TASK ORDER 01, TASK AREA A75N92022D00002 · JOHNS HOPKINS UNIVERSITY · 2025 to 2025
$1.4M
Glucose instability and neurocognitive outcomes in older adultsR01AG074044 · JOHNS HOPKINS UNIVERSITY · 2025 to 2025
$697k
Glucose patterns and cardiac arrhythmias in older adults with diabetesR01HL158022 · JOHNS HOPKINS UNIVERSITY · 2025 to 2025
$683k
Effects of the DASH diet on glucose patterns in adults with type 2 diabetesR01DK128900 · JOHNS HOPKINS UNIVERSITY · 2025 to 2025
$553k
Disparities in the management and prognosis of type 1 diabetesK01DK138273 · JOHNS HOPKINS UNIVERSITY · 2025 to 2025
$157k
NHLBI NIH HHS 75N92022D00001NHLBI NIH HHS 75N92022D00002NHLBI NIH HHS 75N92022D00003NHLBI NIH HHS 75N92022D00004NHLBI NIH HHS 75N92022D00005NHLBI NIH HHS K23 HL153774NHLBI NIH HHS K24 HL152440NHLBI NIH HHS R01 HL158022NHLBI NIH HHS T32 HL007024NIA NIH HHS R01 AG054787NIA NIH HHS R01 AG074044NIA NIH HHS RF1 AG074044NIDDK NIH HHS K01 DK138273NIDDK NIH HHS R01 DK128837NIDDK NIH HHS R01 DK128900NIDDK NIH HHS R21 DK080294
6 · The paper itself

Abstract

objectiveTo characterize the prevalence of continuous glucose monitoring (CGM)-defined glucose abnormalities in a large, community-based population of very old adults (>75 years). RESEARCH DESIGN AND

methodsA cross-sectional analysis of 1,150 older adults with and without diabetes who attended the Atherosclerosis Risk in Communities Study (2021-2022). Diabetes was based on a self-reported diagnosis of diabetes by a health care provider, use of diabetes medication, or a hemoglobin A1c (HbA1c) ≥6.5%. Prediabetes was defined as an HbA1c of 5.7% to <6.5% and normoglycemia as an HbA1c of <5.7%. We analyzed CGM metrics, including mean glucose, measures of hyperglycemia, and the coefficient of variation, by diabetes status.

resultsOf the 1,150 participants (mean age 83 years, 59% women, 26% who are Black), 35.1% had normoglycemia, 34.5% had prediabetes, and 30.4% had diabetes. The summary 24-h ambulatory glucose profile for participants with prediabetes was very similar to those with normoglycemia. No participants with normoglycemia or prediabetes had a CGM mean glucose >140 mg/dL, while 32.7% of participants with diabetes had a CGM mean glucose >140 mg/dL.

conclusionsIn very old adults with normal or prediabetes HbA1c, hyperglycemia detected by CGM was rare. This suggests that HbA1c adequately captures the burden of hyperglycemia for most people in this population.

Indexed as

Blood GlucoseBlood Glucose Self-MonitoringDiabetes MellitusAgedAged, 80 and overContinuous Glucose MonitoringCross-Sectional StudiesFemaleGlycated HemoglobinHumansHyperglycemiaMalePrediabetic StateBlood GlucoseGlycated Hemoglobin

Identifiers

PMID39705138
PMCPMC11870281

What Socratic 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 Socratic graph.