Evidence map›Paper›PMID 27258122›Full record

ArticleDiabetes technology & therapeutics2016

Association of HbA1c to BOLUS Scores Among Youths with Type 1 Diabetes.

Mark A Clements, Stephen A DeLurgio, David D Williams, Sana Habib, Kelsee Halpin, Susana R Patton

Registry-linked trialAbstract read
In one paragraph

Article in Diabetes technology & therapeutics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06390371 (Spotlight AQ Randomized Controlled Trial of the Spotlight AQ Survey Platform to Evaluate Its' Efficacy and Applicability in a Clinic Setting.), 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
–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.

NCT06390371 naactive not recruitingnot on this mapstarted 2024, after this paper: background citation

Spotlight AQ Randomized Controlled Trial of the Spotlight AQ Survey Platform to Evaluate Its' Efficacy and Applicability in a Clinic Setting.

TypeinterventionalSponsorChildren's Mercy Hospital Kansas CityRan2024 to 2026Enrolled60ConditionsType 1 Diabetes MellitusArmsSpotlight AQ Survey platform
3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Six-Month Effectiveness of AdvancedFrontiers in endocrinology · 2021
    Article
  7. Article
  8. Article
  9. 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.

Mark A Clements1 Division of Endocrinology, Department of Pediatrics, Children's Mercy Hospital & Clinics , Kansas City, Missouri.
Stephen A DeLurgio4 Health Services & Outcomes Research, Children's Mercy Hospital & Clinics , Kansas City, Missouri.
David D Williams4 Health Services & Outcomes Research, Children's Mercy Hospital & Clinics , Kansas City, Missouri.
Sana Habib2 University of Missouri-Kansas City School of Medicine , Kansas City, Missouri.
Kelsee Halpin1 Division of Endocrinology, Department of Pediatrics, Children's Mercy Hospital & Clinics , Kansas City, Missouri.
Susana R Patton3 Department of Pediatrics, University of Kansas Medical Center , Kansas City, Kansas.

Funding

Longitudinal test of adherence & control in kids new to T1 diabetes & 5-9 yrs oldR01DK100779 · NIDDK · UNIVERSITY OF KANSAS MEDICAL CENTER · PI NELSON, EVE-LYNN · 2014 to 2018
$1.8M
Improving Mealtime Functioning in Families of Young Children with Type 1 DiabetesK23DK076921 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI PATTON, SUSANA R · 2007 to 2011
$566k
Reducing hypoglycemia fear in parents of young kids with video-based telemedicineR21HD081502 · NICHD · UNIVERSITY OF KANSAS MEDICAL CENTER · PI PATTON, SUSANA R · 2015 to 2016
$424k
NICHD NIH HHS R21 HD081502NIDDK NIH HHS K23 DK076921NIDDK NIH HHS R01 DK100779
6 · The paper itself

Abstract

backgroundFrequency of mealtime insulin bolusing (BOLUS) is a promising new objective assessment of adherence in youths with type 1 diabetes (T1D). As further confirmation of the validity of BOLUS, we compare the associations of glycated hemoglobin (HbA1c) values of T1D youths with the original scoring of BOLUS and two alternative scoring procedures: mean mealtime boluses within a 2-h meal window (2h-BOLUS) and total daily frequency of boluses (TOTAL-BOLUS). In addition, we assess HbA1c associations of these three procedures, including interaction terms for mealtime boluses plus correction boluses. SUBJECTS AND

methodsBlood glucose meter data, insulin pump records, and HbA1c levels were collected from a combined clinical and research database for a random sample of 100 youths (mean age, 12.7 ± 4.6 years). Youths' pump records were scored using the published methodology and alternative procedures for evaluating insulin use.

resultsYouths' BOLUS, TOTAL-BOLUS, and mealtime boluses within a 2-h meal window (2h-BOLUS) scores are independently associated with youths' HbA1c level; all measures demonstrated stronger associations with youths' HbA1c than did frequency of glucose monitoring. The strongest association was between youths' BOLUS score and their HbA1c level. In multiple regression analyses, youths' BOLUS score better explains the variations in HbA1c levels than either youths' 2h-BOLUS or TOTAL-BOLUS scores. When combined with BOLUS in the same relationships, 2h-BOLUS and TOTAL-BOLUS were not found to have statistically significant coefficients. None of the bivariate relationships of HbA1c and interaction terms of mealtime and correction boluses was significant.

conclusionsThe original method for calculating BOLUS appears superior to alternative scoring methods in its association with youths' HbA1c levels.

Indexed as

AlgorithmsInsulin Infusion SystemsAdolescentBlood GlucoseBlood Glucose Self-MonitoringChildDiabetes Mellitus, Type 1FemaleGlycated HemoglobinHumansHypoglycemic AgentsInsulinMaleMealsBlood GlucoseGlycated HemoglobinHypoglycemic AgentsInsulin

Identifiers

PMID27258122
PMCPMC4900211

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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.