Evidence map›Paper›PMID 38950348›Full record

ArticleDiabetes technology & therapeutics2024

Starting Insulin Algorithms for Noncritical Illness: A Survey of 32 Academic Hospitals in the United States.

Hou-Hsien Chiang, Steven E Kahn, Irl B Hirsch

Abstract read
In one paragraph

Article in Diabetes technology & therapeutics, 2024. 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

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

3 authors.

Hou-Hsien ChiangDepartment of Medicine, Division of Metabolism, Endocrinology and Nutrition, University of Washington, Seattle, Washington, USA.ORCID 0000-0002-4801-0262
Steven E KahnDepartment of Medicine, Division of Metabolism, Endocrinology and Nutrition, University of Washington, Seattle, Washington, USA.
Irl B HirschDepartment of Medicine, Division of Metabolism, Endocrinology and Nutrition, University of Washington, Seattle, Washington, USA.ORCID 0000-0003-1675-8417

Funding

Diabetes, Obesity and Metabolism Training ProgramT32DK007247 · NIDDK · UNIVERSITY OF WASHINGTON · PI GREGORY J MORTON, KRISTINA Marie UTZSCHNEIDER · 1986 to 2026
$10.0M
NIDDK NIH HHS T32 DK007247VA
6 · The paper itself

Abstract

Glycemic control immediately upon hospitalization is difficult. Endocrine Society guidelines suggest starting scheduled insulin therapy at 0.2-0.5 units/kg/day, but there has been no rigorous study to support this recommendation. To understand the variability of current practice, we surveyed starting insulin algorithms for noncritically ill patients among the top-ranking academic hospitals in the United States. Among the 20 hospitals with reported algorithms, 12 specified which patients should start with basal/nutritional insulin, whereas 5 specified who should start with only correction insulin. Weight-based and/or home-dose-based calculations were used to estimate the initial insulin requirements with various modifiers. In addition, various factors were considered when choosing among the correction dose algorithms. In summary, among the U.S. academic hospitals, there is variability in methods for determining insulin dosing on admission for noncritically ill patients. This inconsistency suggests that future studies to estimate initial insulin requirements are required.

Indexed as

AlgorithmsHypoglycemic AgentsInsulinAcademic Medical CentersBlood GlucoseDiabetes MellitusHospitalizationHumansUnited StatesBlood GlucoseHypoglycemic AgentsInsulinAlgorithmDiabetes mellitusHospital admissionInpatient glycemic managementInsulin

Identifiers

PMID38950348
PMCPMC11971600

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.