Evidence map›Paper›PMID 28702883›Full record

ArticleInternational journal of emergency medicine2017

Risk factors for recurrent emergency department visits for hyperglycemia in patients with diabetes mellitus.

Justin W Yan, Katherine M Gushulak, Melanie P Columbus, Kristine van Aarsen, Alexandra L Hamelin, George A Wells, Ian G Stiell

Open access · goldAbstract read
In one paragraph

Article in International journal of emergency medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.4field-weighted citation impact, top 7% of its field
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

18 citing papers in PubMed, 53 citations in OpenAlex.

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  4. Predictors of 30-Day Recurrent Emergency Department Visits for Hyperglycemia in Patients With Diabetes: A Multicentre Prospective Cohort Study.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2025
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  14. The burden of diabetic emergencies on the resuscitation area of a district-level public hospital in Cape Town.African journal of emergency medicine : Revue africaine de la medecine d'urgence · 2021
    Article
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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 at 4 institutions in 1 country.

Justin W YanThe Division of Emergency Medicine, Department of Medicine, London Health Sciences Centre, London, ON, Canada. Justin.Yan@lhsc.on.ca.
Katherine M GushulakThe Division of Emergency Medicine, Department of Medicine, London Health Sciences Centre, London, ON, Canada.
Melanie P ColumbusThe Division of Emergency Medicine, Department of Medicine, London Health Sciences Centre, London, ON, Canada.
Kristine van AarsenThe Division of Emergency Medicine, Department of Medicine, London Health Sciences Centre, London, ON, Canada.
Alexandra L HamelinThe Department of Emergency Medicine, The University of Ottawa, Ottawa, ON, Canada.
George A WellsThe Ottawa Hospital Research Institute, Ottawa, ON, Canada.
Ian G StiellThe Department of Emergency Medicine, The University of Ottawa, Ottawa, ON, Canada.
London Health Sciences Centre · CAOttawa Hospital · CAWestern University · CAUniversity of Ottawa · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatients with poorly controlled diabetes mellitus may present repeatedly to the emergency department (ED) for management and treatment of hyperglycemic episodes, including diabetic ketoacidosis and hyperosmolar hyperglycemic state. The objective of this study was to identify risk factors that predict unplanned recurrent ED visits for hyperglycemia in patients with diabetes within 30 days of initial presentation.

methodsWe conducted a 1-year health records review of patients ≥18 years presenting to one of four tertiary care EDs with a discharge diagnosis of hyperglycemia, diabetic ketoacidosis, or hyperosmolar hyperglycemic state. Trained research personnel collected data on patient characteristics and determined if patients had an unplanned recurrent ED visit for hyperglycemia within 30 days of their initial presentation. Multivariate logistic regression models using generalized estimating equations to account for patients with multiple visits determined predictor variables independently associated with recurrent ED visits for hyperglycemia within 30 days.

resultsThere were 833 ED visits for hyperglycemia in the 1-year period. 54.6% were male and mean (SD) age was 48.8 (19.5). Of all visitors, 156 (18.7%) had a recurrent ED visit for hyperglycemia within 30 days. Factors independently associated with recurrent hyperglycemia visits included a previous hyperglycemia visit in the past month (odds ratio [OR] 3.5, 95% confidence interval [CI] 2.1-5.8), age <25 years (OR 2.6, 95% CI 1.5-4.7), glucose >20 mmol/L (OR 2.2, 95% CI 1.3-3.7), having a family physician (OR 2.2, 95% CI 1.0-4.6), and being on insulin (OR 1.9, 95% CI 1.1-3.1). Having a systolic blood pressure between 90-150 mmHg (OR 0.53, 95% CI 0.30-0.93) and heart rate >110 bpm (OR 0.41, 95% CI 0.23-0.72) were protective factors independently associated with not having a recurrent hyperglycemia visit.

conclusionsThis unique ED-based study reports five risk factors and two protective factors associated with recurrent ED visits for hyperglycemia within 30 days in patients with diabetes. These risk factors should be considered by clinicians when making management, prognostic, and disposition decisions for diabetic patients who present with hyperglycemia.

Indexed as

Diabetes mellitusDiabetic ketoacidosisEmergency medicineHyperosmolar hyperglycemic stateRecurrent visitsRisk factors

Identifiers

PMID28702883
PMCPMC5507935
OpenAlexW2736244222

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.