Evidence map›Paper›PMID 28681638›Full record

ArticleJournal of diabetes science and technology2017

Issues and Ideas in Bolus Advisor Research With Commentary on "A Methodology to Compare Insulin Dosing Algorithms in Real-Life Settings".

John Walsh

Abstract readComment
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. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author.

John Walsh1 Advanced Metabolic Care and Research, Escondido, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The accompanying article by Groat et al in this issue presents a methodology to compare glucose outcomes from insulin bolus dose recommendations observed retrospectively from a novel iDecide bolus calculator with glucose outcomes from the prospective bolus recommendations provided by a current insulin pump. The methodology in this article evaluates a bolus calculator algorithm and also evaluates calculations for two additional lifestyle behaviors, exercise and alcohol intake, that are modifiable risk factors associated with diabetes. This methodology for evaluation of glycemic outcomes from bolus calculators could be expanded further using much larger existing bolus calculator databases. This would complement current verifications done through in-silico testing with the University of Virginia/Padua 300 patient type 1 diabetes simulator. This approach merits serious consideration, yet the actual dose recommendations provided by the iDecide calculator introduce wider lessons on how bolus calculator glucose outcomes might be better optimized.

Indexed as

Diabetes Mellitus, Type 1InsulinAlgorithmsBlood GlucoseHumansHypoglycemic AgentsInsulin Infusion SystemsProspective StudiesRetrospective StudiesBlood GlucoseHypoglycemic AgentsInsulinbolus advisorsbolus calculatorsbolus calculator settingsdiabetesinsulin pumpsinsulin stackinginsulin therapyprandial insulin

Identifiers

PMID28681638
PMCPMC5951051

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.