Evidence map›Paper›PMID 34933872›Full record

ArticleBMJ open diabetes research & care2021

Hospital utilization for hypoglycemia among patients with type 2 diabetes using pooled data from six health systems.

Scott J Pilla, Jennifer L Kraschnewski, Erik B Lehman, Lan Kong, Erica Francis, Jennifer M Poger, Cindy L Bryce, Nisa M Maruthur, Hsin-Chieh Yeh

Abstract read
In one paragraph

Article in BMJ open diabetes research & care, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. A National Physician Survey Examining Switching From Sulfonylureas or Insulin to Newer Diabetes Medications.Clinical diabetes : a publication of the American Diabetes Association · 2025
    Article
  5. Review
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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

9 authors.

Scott J PillaDepartment of Medicine, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA spilla1@jhmi.edu.ORCID 0000-0002-3292-9047
Jennifer L KraschnewskiDepartment of Medicine, Penn State College of Medicine, Hershey, Pennsylvania, USA.
Erik B LehmanDepartment of Public Health Sciences, Penn State College of Medicine, Hershey, Pennsylvania, USA.
Lan KongDepartment of Public Health Sciences, Penn State College of Medicine, Hershey, Pennsylvania, USA.
Erica FrancisDepartment of Medicine, Penn State College of Medicine, Hershey, Pennsylvania, USA.
Jennifer M PogerDepartment of Medicine, Penn State College of Medicine, Hershey, Pennsylvania, USA.
Cindy L BryceDepartment of Health Policy and Management, University of Pittsburgh Graduate School of Public Health, Pittsburgh, Pennsylvania, USA.
Nisa M MaruthurDepartment of Medicine, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Hsin-Chieh YehDepartment of Medicine, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.ORCID 0000-0002-5738-0652

Funding

Institutional Career Development CoreKL2TR003099 · NCATS · JOHNS HOPKINS UNIVERSITY · PI GEBO, KELLY A · 2019 to 2023
$7.9M
An intervention to enhance hypoglycemia communication and preventive action in primary careK23DK128572 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI PILLA, SCOTT · 2021 to 2024
$790k
NCATS NIH HHS KL2 TR003099NIDDK NIH HHS K23 DK128572
6 · The paper itself

Abstract

introductionHypoglycemia is the most common serious adverse effect of diabetes treatment and a major cause of medication-related hospitalization. This study aimed to identify trends and predictors of hospital utilization for hypoglycemia among patients with type 2 diabetes using electronic health record data pooled from six academic health systems. RESEARCH DESIGN AND

methodsThis retrospective open cohort study included 549 041 adults with type 2 diabetes receiving regular care from the included health systems between 2009 and 2019. The primary outcome was the yearly event rate for hypoglycemia hospital utilization: emergency department visits, observation visits, or inpatient admissions for hypoglycemia identified using a validated International Classification of Diseases Ninth Revision (ICD-9) algorithm from 2009 to 2014. After the transition to ICD-10 in 2015, we used two ICD-10 code sets (limited and expanded) for hypoglycemia hospital utilization from prior studies. We identified independent predictors of hypoglycemia hospital utilization using multivariable logistic regression analysis with data from 2014.

resultsYearly rates of hypoglycemia hospital utilization decreased from 2.7 to 1.6 events per 1000 patients from 2009 to 2014 (p-trend=0.023). From 2016 to 2019, yearly event rates were stable ranging from 5.6 to 6.6, or 6.3 to 7.3, using the limited and expanded ICD-10 code sets, respectively. In 2014, the strongest independent risk factors for hypoglycemia hospital utilization were chronic kidney disease (OR 2.86, 95% CI 2.33 to 3.57), ages 18-39 years (OR 2.43 vs age 40-64 years, 95% CI 1.78 to 3.31), and insulin use (OR 2.13 vs no diabetes medications, 95% CI 1.67 to 2.73).

conclusionsRates of hypoglycemia hospital utilization decreased from 2009 to 2014 and varied considerably by clinical risk factors such that younger adults, insulin users, and those with chronic kidney disease were at especially high risk. There is a need to validate hypoglycemia ascertainment using ICD-10 codes, which detect a substantially higher number of events compared with ICD-9.

Indexed as

Diabetes Mellitus, Type 2HypoglycemiaAdolescentAdultCohort StudiesHospitalsHumansHypoglycemic AgentsMiddle AgedRetrospective StudiesYoung AdultHypoglycemic Agentsdiabetes mellitushospitalizationtype 2

Identifiers

PMID34933872
PMCPMC8679092

What OpenQuestion holds

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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.