Evidence map›Paper›PMID 28406039›Full record

ArticleJournal of diabetes science and technology2017

A Methodology to Compare Insulin Dosing Recommendations in Real-Life Settings.

Danielle Groat, Maria A Grando, Bithika Thompson, Pedro Neto, Hiral Soni, Mary E Boyle, Marilyn Bailey, Curtiss B Cook

Abstract readComparative Study
In one paragraph

Article in Journal of diabetes science and technology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Danielle Groat1 Arizona State University Department of Biomedical Informatics, Scottsdale, AZ, USA.
Maria A Grando1 Arizona State University Department of Biomedical Informatics, Scottsdale, AZ, USA.
Bithika Thompson2 Mayo Clinic Arizona, Division of Endocrinology, Scottsdale, AZ, USA.
Pedro Neto1 Arizona State University Department of Biomedical Informatics, Scottsdale, AZ, USA.
Hiral Soni1 Arizona State University Department of Biomedical Informatics, Scottsdale, AZ, USA.
Mary E Boyle2 Mayo Clinic Arizona, Division of Endocrinology, Scottsdale, AZ, USA.
Marilyn Bailey2 Mayo Clinic Arizona, Division of Endocrinology, Scottsdale, AZ, USA.
Curtiss B Cook1 Arizona State University Department of Biomedical Informatics, Scottsdale, AZ, USA.

Funding

iDASH: Integrating Data for Analysis, Anonymization, and SharingU54HL108460 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI OHNO-MACHADO, LUCILA · 2010 to 2015
$19.1M
My Data Choices, evaluation of effective consent strategies for patients with behavioral health conditionsR01MH108992 · NIMH · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI GRANDO, MARIA ADELA · 2016 to 2020
$2.0M
Patient-centered decision support based on device evidence (I DECIDE)R21LM011667 · NLM · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI GRANDO, MARIA ADELA · 2014 to 2015
$403k
NHLBI NIH HHS U54 HL108460NIMH NIH HHS R01 MH108992NLM NIH HHS R21 LM011667
6 · The paper itself

Abstract

backgroundWe propose a methodology to analyze complex real-life glucose data in insulin pump users.

methodsPatients with type 1 diabetes (T1D) on insulin pumps were recruited from an academic endocrinology practice. Glucose data, insulin bolus (IB) amounts, and self-reported alcohol consumption and exercise events were collected for 30 days. Rules were developed to retrospectively compare IB recommendations from the insulin pump bolus calculator (IPBC) against recommendations from a proposed decision aid (PDA) and for assessing the PDA's recommendation for exercise and alcohol.

resultsData from 15 participants were analyzed. When considering instances where glucose was below target, the PDA recommended a smaller dose in 14%, but a larger dose in 13% and an equivalent IB in 73%. For glucose levels at target, the PDA suggested an equivalent IB in 58% compared to the subject's IPBC, but higher doses in 20% and lower in 22%. In events where postprandial glucose was higher than target, the PDA suggested higher doses in 25%, lower doses in 13%, and equivalent doses in 62%. In 64% of all alcohol events the PDA would have provided appropriate advice. In 75% of exercise events, the PDA appropriately advised an IB, a carbohydrate snack, or neither.

conclusionsThis study provides a methodology to systematically analyze real-life data generated by insulin pumps and allowed a preliminary analysis of the performance of the PDA for insulin dosing. Further testing of the methodological approach in a broader diabetes population and prospective testing of the PDA are needed.

Indexed as

Decision Support TechniquesDrug Dosage CalculationsInsulin Infusion SystemsAdultAgedAlcohol DrinkingBiomarkersBlood GlucoseDiabetes Mellitus, Type 1ExerciseFemaleHumansHypoglycemic AgentsInsulinMaleMiddle AgedBiomarkersBlood GlucoseHypoglycemic AgentsInsulinalcoholbolus calculatorexerciseinsulin pumppostprandial blood glucoseretrospective analysis

Identifiers

PMID28406039
PMCPMC5951039

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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.