Evidence map›Paper›PMID 25565873›Full record

ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2015

Health outcomes in diabetics measured with Minnesota Community Measurement quality metrics.

Paul Y Takahashi, Jennifer L St Sauver, Lila J Finney Rutten, Robert M Jacobson, Debra J Jacobson, Michaela E McGree, Jon O Ebbert

Open access · goldAbstract read
In one paragraph

Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 30% 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Visit Entropy Associated with Diabetic Control Outcomes.Journal of the American Board of Family Medicine : JABFM
    Article
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 1 institution in 1 country.

Paul Y TakahashiDepartment of Internal Medicine, Division of Primary Care Internal Medicine, Rochester, MN, USA.
Jennifer L St SauverDepartment of Health Sciences Research, Mayo Clinic Robert D and Patricia E Kern Center for the Science of Health Care Delivery, Rochester, MN, USA.
Lila J Finney RuttenDepartment of Health Sciences Research, Mayo Clinic Robert D and Patricia E Kern Center for the Science of Health Care Delivery, Rochester, MN, USA.
Robert M JacobsonDepartment of Pediatric and Adolescent Medicine, Division of Community Pediatrics, Mayo Clinic, Rochester, MN, USA.
Debra J JacobsonDepartment of Health Sciences Research, Mayo Clinic Robert D and Patricia E Kern Center for the Science of Health Care Delivery, Rochester, MN, USA.
Michaela E McGreeDepartment of Health Sciences Research, Mayo Clinic Robert D and Patricia E Kern Center for the Science of Health Care Delivery, Rochester, MN, USA.
Jon O EbbertDepartment of Internal Medicine, Division of Primary Care Internal Medicine, Rochester, MN, USA.
Mayo Clinic in Florida · US

Funding

Mayo Clinic Center for Translational Science ActivitiesUL1TR000135 · NCATS · MAYO CLINIC ROCHESTER · PI KHOSLA, SUNDEEP · 2012 to 2015
$41.2M
NCATS NIH HHS UL1 TR000135
6 · The paper itself

Abstract

objectiveOur objective was to understand the relationship between optimal diabetes control, as defined by Minnesota Community Measurement (MCM), and adverse health outcomes including emergency department (ED) visits, hospitalizations, 30-day rehospitalization, intensive care unit (ICU) stay, and mortality. PATIENTS AND

methodsIn 2009, we conducted a retrospective cohort study of empaneled Employee and Community Health patients with diabetes mellitus. We followed patients from 1 September 2009 until 30 June 2011 for hospitalization and until 5 January 2014 for mortality. Optimal control of diabetes mellitus was defined as achieving the following three measures: low-density lipoprotein (LDL) cholesterol <100 mg/mL, blood pressure <140/90 mmHg, and hemoglobin A1c <8%. Using the electronic medical record, we assessed hospitalizations, ED visits, ICU stays, 30-day rehospitalizations, and mortality. The chi-square or Wilcoxon rank-sum tests were used to compare those with and without optimal control. We used Cox proportional hazard models to estimate the associations between optimal diabetes mellitus status and each outcome.

resultsWe identified 5,731 empaneled patients with diabetes mellitus; 2,842 (49.6%) were in the optimal control category. After adjustment, we observed that non-optimally controlled patients had higher risks for hospitalization (hazard ratio [HR] 1.11; 95% confidence interval [CI] 1.00-1.23), ED visits (HR 1.15; 95% CI 1.06-1.25), and mortality (HR 1.29; 95% CI 1.09-1.53) than diabetic patients with optimal control. No differences were observed in ICU stay or 30-day rehospitalization.

conclusionDiabetic patients without optimal control had higher risks of adverse health outcomes than those with optimal control. Patients with optimal control defined by the MCM were associated with decreased morbidity and mortality.

Indexed as

case managementdiabetes mellitushyperlipidemiahypertension

Identifiers

PMID25565873
PMCPMC4274142
OpenAlexW1982986462

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.