Evidence mapPaperPMID 32144167Full record

Trial reportDiabetes care2020

The Use of a Smart Bolus Calculator Informed by Real-time Insulin Sensitivity Assessments Reduces Postprandial Hypoglycemia Following an Aerobic Exercise Session in Individuals With Type 1 Diabetes.

Chiara Fabris, Ralf M Nass, Jennifer Pinnata, Kelly A Carr, Chaitanya L K Koravi, Charlotte L Barnett, Mary C Oliveri, Stacey M Anderson, Daniel R Chernavvsky, Marc D Breton

Registry-linked trialOpen access · greenAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Diabetes care, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03709108 (Safety and Feasibility of an Insulin Sensitivity-Informed Bolus Calculator in Type 1 Diabetes), which is not on this map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.3field-weighted citation impact, top 11% 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.

NCT03709108 nacompletednot on this map

Safety and Feasibility of an Insulin Sensitivity-Informed Bolus Calculator in Type 1 Diabetes

TypeinterventionalSponsorUniversity of VirginiaRan2018 to 2019Enrolled15ConditionsType 1 Diabetes MellitusArmsSI-Informed Bolus Calculator
3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 23 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Review
  4. Article
  5. Continuous Glucose Monitoring and Bolus Calculators: A Good Combination.Journal of diabetes science and technology · 2024
    Article
  6. Article
  7. Article
  8. Article
  9. 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

10 authors at 2 institutions in 1 country.

Chiara FabrisCenter for Diabetes Technology, University of Virginia, Charlottesville, VA cf9qe@virginia.edu.ORCID 0000-0002-2094-5154
Ralf M NassDivision of Endocrinology and Metabolism, Department of Medicine, University of Virginia, Charlottesville, VA.
Jennifer PinnataCenter for Diabetes Technology, University of Virginia, Charlottesville, VA.
Kelly A CarrCenter for Diabetes Technology, University of Virginia, Charlottesville, VA.
Chaitanya L K KoraviCenter for Diabetes Technology, University of Virginia, Charlottesville, VA.
Charlotte L BarnettCenter for Diabetes Technology, University of Virginia, Charlottesville, VA.
Mary C OliveriCenter for Diabetes Technology, University of Virginia, Charlottesville, VA.
Stacey M AndersonCenter for Diabetes Technology, University of Virginia, Charlottesville, VA.ORCID 0000-0001-6462-1779
Daniel R ChernavvskyCenter for Diabetes Technology, University of Virginia, Charlottesville, VA.
Marc D BretonCenter for Diabetes Technology, University of Virginia, Charlottesville, VA.ORCID 0000-0001-7645-2693
University of Virginia · USDexcom (United States) · US

Funding

DYNAMIC RISK MEASURES FOR SEVERE HYPOGLYCEMIAR01DK051562 · NIDDK · UNIVERSITY OF VIRGINIA CHARLOTTESVILLE · PI MARC D BRETON · 1996 to 2023
$2.4M
NIDDK NIH HHS R01 DK051562
6 · The paper itself

Abstract

objectiveInsulin dosing in type 1 diabetes (T1D) is oftentimes complicated by fluctuating insulin requirements driven by metabolic and psychobehavioral factors impacting individuals' insulin sensitivity (IS). In this context, smart bolus calculators that automatically tailor prandial insulin dosing to the metabolic state of a person can improve glucose management in T1D. RESEARCH DESIGN AND

methodsFifteen adults with T1D using continuous glucose monitors (CGMs) and insulin pumps completed two 24-h admissions in a hotel setting. During the admissions, participants engaged in an early afternoon 45-min aerobic exercise session, after which they received a standardized dinner meal. The dinner bolus was computed using a standard bolus calculator or smart bolus calculator informed by real-time IS estimates. Glucose control was assessed in the 4 h following dinner using CGMs and was compared between the two admissions.

resultsThe IS-informed bolus calculator allowed for a reduction in postprandial hypoglycemia as quantified by the low blood glucose index (2.02 vs. 3.31,

conclusionsThe study shows that the proposed IS-informed bolus calculator is safe and feasible in adults with T1D, appropriately reducing postprandial hypoglycemia following an exercise-induced IS increase.

Indexed as

Drug Dosage CalculationsInsulin Infusion SystemsAdultBlood GlucoseBlood Glucose Self-MonitoringDiabetes Mellitus, Type 1Equipment DesignExerciseFemaleHumansHyperglycemiaHypoglycemiaHypoglycemic AgentsInsulinInsulin ResistanceMaleBlood GlucoseHypoglycemic AgentsInsulin

Identifiers

PMID32144167
PMCPMC10026354
OpenAlexW3009096642

What Socratic holds

Textmetadata
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.