Evidence map›Paper›PMID 29291648›Full record

ArticleJournal of diabetes science and technology2018

Comparison of Computer-Guided Versus Standard Insulin Infusion Regimens in Patients With Diabetic Ketoacidosis.

Jagdeesh Ullal, Joseph A Aloi, David Reyes-Umpierrez, Francisco J Pasquel, Raymie McFarland, Marina Rabinovich, Guillermo E Umpierrez

Abstract readComparative StudyMulticenter Study
In one paragraph

Article in Journal of diabetes science and technology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 2 pooled it
–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

28 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. American Association of Clinical Endocrinology Clinical Practice Guideline: Developing a Diabetes Mellitus Comprehensive Care Plan-2022 Update.Endocrine practice : official journal of the American College of Endocrinology and the American Association of Clinical Endocrinologists · 2022
    Guideline
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  8. Association of Hypoglycemia With the Time to Dextrose in Treatment of Diabetes-Related Ketoacidosis.Clinical diabetes : a publication of the American Diabetes Association · 2025
    Article
  9. Review
  10. Review
  11. Article
  12. Article
  13. Evaluation of Computer-Based Insulin Infusion Algorithm Compared With a Paper-Based Protocol in the Treatment of Diabetic Ketoacidosis.The Journal of pharmacy technology : jPT : official publication of the Association of Pharmacy Technicians · 2023
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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

7 authors.

Jagdeesh Ullal1 Eastern Virginia Medical School, Norfolk, VA, USA.
Joseph A Aloi2 Wake Forest School of Medicine, Winston Salem, NC, USA.
David Reyes-Umpierrez3 Emory University, Atlanta, GA, USA.
Francisco J Pasquel3 Emory University, Atlanta, GA, USA.
Raymie McFarland4 Glytec, Greenville, SC, USA.
Marina Rabinovich5 Grady Memorial Hospital, Atlanta, GA, USA.
Guillermo E Umpierrez3 Emory University, Atlanta, GA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study was performed to investigate the efficacy of Glucommander (GM) (Glytec®), a computer-based algorithm versus standard (paper form-based) continuous insulin infusion (CII) in the treatment of patients with diabetic ketoacidosis (DKA).

methodsThis was a retrospective multicenter study involving 2665 patients with DKA treated with either GM (n = 1750) or standard protocols (n = 915) across 34 institutions in the United States. GM estimates the rate of CII using an insulin sensitivity factor referred to as a "multiplier" that ranges between 0.01 and 0.03. Outcomes of interest were differences in time to resolve DKA (blood glucose [BG] <200 mg/dL and bicarbonate < 18 mmol/L) and number of hypoglycemic events defined as a BG <70 mg/dl.

resultsTreatment with GM was associated with lower rates of hypoglycemia during the time of the insulin drip (12.9% vs 35%, P = .001), faster time to normalization of blood glucose (9.7 ± 8.9 vs 10.97 ± 10.2 hours, P = .0001) and resolution of metabolic acidosis (13.6 ± 11.8 vs 17.3 ± 19.6 hours, P = .0001), and shorter hospital length of stay (3.2 ± 2.9 vs 4.5 ± 4.8 days, P = .01) compared to standard care. Best treatment outcomes were achieved with an initial multiplier of 0.01 and a glucose target range between 120 and 180 mg/dl.

conclusionThe GM algorithm in DKA treatment resulted in lower rates of hypoglycemia and faster DKA resolution over standard paper-based algorithms. Prospective randomized clinical trials comparing the efficacy and cost of computer-based algorithms versus standard CII regimens are warranted.

Indexed as

AdultAgedAlgorithmsBlood GlucoseDiabetic KetoacidosisFemaleHumansHypoglycemiaHypoglycemic AgentsInsulinInsulin Infusion SystemsMaleMiddle AgedRetrospective StudiesYoung AdultBlood GlucoseHypoglycemic AgentsInsulindiabetic ketoacidosiselectronic glucose management systemGlucommanderintravenous insulin

Identifiers

PMID29291648
PMCPMC5762000

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.