Evidence map›Paper›PMID 24050738›Full record

ArticleDiabetes technology & therapeutics2013

The effect of congestive heart failure on sensor accuracy among hospitalized patients with type 2 diabetes.

Kathleen Dungan, Kari Graessle, Colleen Sagrilla

Registry-linked trialAbstract read
In one paragraph

Article in Diabetes technology & therapeutics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04149392 (Pilot Study for the Use of CGM for Post-discharge Diabetes Management Following a Hospitalization for Heart Failure or MI), which is not on this map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 33% of its field
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.

NCT04149392 nawithdrawnnot on this mapstarted 2019, after this paper: background citation

Pilot Study for the Use of CGM for Post-discharge Diabetes Management Following a Hospitalization for Heart Failure or MI

TypeinterventionalSponsorUniversity of VirginiaRan2019 to 2020Enrolled0ConditionsDiabetesArmsContinuous Glucose Monitor
3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. 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

3 authors at 1 institution in 1 country.

Kathleen DunganDivision of Endocrinology, Diabetes and Metabolism, The Ohio State University , Columbus, Ohio.
Kari Graessle
Colleen Sagrilla
The Ohio State University · US

Funding

University of Iowa Clinical and Translational Science Program (TL1)UL1RR025755 · NCRR · OHIO STATE UNIVERSITY · PI JACKSON, REBECCA D · 2008 to 2011
$26.3M
Intensive glycemic control for congestive heart failure exacerbationK23DK080891 · NIDDK · OHIO STATE UNIVERSITY · PI DUNGAN, KATHLEEN MARIE · 2008 to 2012
$748k
Glycemic control and variability in congestive heart failure exacerbationR21DK081877 · NIDDK · OHIO STATE UNIVERSITY · PI DUNGAN, KATHLEEN MARIE · 2008 to 2009
$413k
NCRR NIH HHS UL1 RR025755NCRR NIH HHS UL1RR025755NIDDK NIH HHS K23DK080891NIDDK NIH HHS R21DK081877
6 · The paper itself

Abstract

backgroundCongestive heart failure (CHF) features disturbances in the interstitial environment that may affect the accuracy of subcutaneous continuous glucose monitoring (CGM). SUBJECTS AND

methodsA pooled analysis of two studies of hospitalized patients with type 2 diabetes randomized to intravenous or subcutaneous insulin was conducted. One study enrolled patients with CHF exacerbation, whereas history of CHF was an exclusion criterion in the other. All patients wore a professional CGM device for at least 24 h. Intravenous insulin was administered according to the institution's nursing-run protocol (duration of 12 and 48 h in non-CHF and CHF protocols, respectively). Subcutaneous insulin was delivered similarly in both groups.

resultsSubjects with CHF (n=43) had higher admission glucose and hemoglobin A1c compared with non-CHF subjects (n=32), but the sensor glucose values were similar. Overall mean absolute relative difference (MARD) was similar between CHF and non-CHF subjects (0.11 vs. 0.08, respectively; P=0.12). MARD was higher in the 100-149 mg/dL (P=0.003) and >199 mg/dL (P = 0.02) strata among CHF subjects. Static glucose and continuous glucose error grid analyses favored the non-CHF group. In multivariable analyses, only glucose coefficient of variation and log sensor time were independent predictors of elevated overall MARD >0.10. After adjustment for other factors, only increasing log sensor time was a significant predictor of elevated MARD in the 100-149 mg/dL strata.

conclusionsAmong hospitalized subjects with type 2 diabetes, CHF exacerbation is not associated with lower sensor accuracy after adjustment for other factors, but this requires confirmation over a wider glucose range.

Indexed as

Biosensing TechniquesBlood GlucoseBlood Glucose Self-MonitoringDiabetes Mellitus, Type 2Disease ProgressionFemaleGlycated HemoglobinHeart FailureHospitalizationHumansHypoglycemic AgentsInsulinMaleMiddle AgedMonitoring, AmbulatoryRandomized Controlled Trials as TopicBlood GlucoseGlycated Hemoglobinhemoglobin A1c protein, humanHypoglycemic AgentsInsulin

Identifiers

PMID24050738
PMCPMC3781123
OpenAlexW2027412342

What OpenQuestion holds

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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 OpenQuestion graph.