Evidence map›Paper›PMID 33588608›Full record

ArticleJournal of diabetes science and technology2021

Impact of Initial eGlycemic Management System Dosing Strategy on Time to Target Blood Glucose Range.

Amir S Emamdjomeh, Jamie N Warren, Courtney L Harper, Jacqueline L Olin

Abstract read
In one paragraph

Article in Journal of diabetes science and technology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

4 authors.

Amir S EmamdjomehNovant Health System, Charlotte, NC, USA.ORCID 0000-0002-4575-4995
Jamie N WarrenNovant Health System, Charlotte, NC, USA.
Courtney L HarperNovant Health System, Charlotte, NC, USA.
Jacqueline L OlinNovant Health System, Charlotte, NC, USA.ORCID 0000-0003-3710-6645

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGlucommander™ (GM), an electronic glycemic management system, was implemented across a multi-hospital health system as the standard of care for glycemic control. GM provides insulin dosing recommendations based on patient-specific blood glucose (BG) trends after providers select either a custom dose or weight-based multiplier as the initial dosing strategy for the first 24 hours. This study evaluated the impact of initial subcutaneous (SC) GM insulin dosing strategies on glycemic management.

methodsNon-intensive care unit patients treated with SC GM using either initial custom (based on provider discretion) or weight-based multiplier settings (0.3, 0.5, or 0.7 units/kg/day) were evaluated in this retrospective chart review. The primary endpoint was time to target BG range defined as time to first two consecutive in range point of care BG. Secondary endpoints included percentage of BG values in target range, percentage of orders following institutional recommendations, length of stay (LOS), average BG, and incidence of hypoglycemia and hyperglycemia.

resultsA review of 348 patients showed time to target BG was not significantly different between custom and multiplier groups (55 vs 64 hours,

conclusionsCustom initial SC GM insulin dosing settings showed a nonsignificant decrease in time to target BG range compared to pre-defined multiplier settings. Future studies evaluating the impact of compliance with institutional recommendations on BG control are warranted.

Indexed as

Blood GlucoseHypoglycemic AgentsAlgorithmsHumansInsulinRetrospective StudiesBlood GlucoseHypoglycemic AgentsInsulincustomelectronic glucose management systemglucommanderglycemic managementmultipliersubcutaneous insulin

Identifiers

PMID33588608
PMCPMC8256082

What OpenQuestion holds

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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.