Evidence map›Paper›PMID 25452878›Full record

ArticleBMJ open diabetes research & care2014

The reliability of in-hospital diagnoses of diabetes mellitus in the setting of an acute myocardial infarction.

Suzanne V Arnold, Kasia J Lipska, Silvio E Inzucchi, Yan Li, Philip G Jones, Darren K McGuire, Abhinav Goyal, Joshua M Stolker, Marcus Lind, John A Spertus and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMJ open diabetes research & care, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Recognition of incident diabetes mellitus during an acute myocardial infarction.Circulation. Cardiovascular quality and outcomes · 2015
    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

11 authors at 6 institutions in 4 countries.

Suzanne V ArnoldSaint Luke's Mid America Heart Institute, University of Missouri-Kansas City , Kansas City, Missouri , USA.
Kasia J LipskaDepartment of Endocrinology , Yale University School of Medicine , New Haven, Connecticut , USA.
Silvio E InzucchiDepartment of Endocrinology , Yale University School of Medicine , New Haven, Connecticut , USA.
Yan LiSaint Luke's Mid America Heart Institute , Kansas City, Missouri , USA.
Philip G JonesSaint Luke's Mid America Heart Institute , Kansas City, Missouri , USA.
Darren K McGuireUniversity of Texas Southwestern Medical Center , Dallas, Texas , USA.
Abhinav GoyalEmory School of Medicine , Atlanta, Georgia , USA.
Joshua M StolkerSaint Louis University , St. Louis, Missouri , USA.
Marcus LindUniversity of Gothenburg , Gothenburg , Sweden.
John A SpertusSaint Luke's Mid America Heart Institute, University of Missouri-Kansas City , Kansas City, Missouri , USA.
Mikhail KosiborodSaint Luke's Mid America Heart Institute, University of Missouri-Kansas City , Kansas City, Missouri , USA.
Saint Luke's Hospital · USYale University · USEmory and Henry College · USThe University of Texas Southwestern Medical Center · USUCLouvain Saint-Louis Brussels · BEUniversity of Gothenburg · SE

Funding

Yale University Clinical and Translational Science Award ProgramUL1TR000142 · NCATS · YALE UNIVERSITY · PI SHERWIN, ROBERT S · 2012 to 2015
$31.8M
SCCOR in Cardiac Dysfunction and DiseaseP50HL077113 · NHLBI · WASHINGTON UNIVERSITY · PI MCLEOD, HOWARD L · 2005 to 2009
$13.4M
Predicting Severe Hypoglycemia among Older Adults with DiabetesK23AG048359 · NIA · YALE UNIVERSITY · PI LIPSKA, KASIA JOANNA · 2014 to 2018
$778k
NCATS NIH HHS UL1 TR000142NHLBI NIH HHS P50 HL077113NIA NIH HHS K23 AG048359
6 · The paper itself

Abstract

objectiveIncident diabetes mellitus (DM) is important to recognize in patients with acute myocardial infarction (AMI). To develop an efficient screening strategy, we explored the use of random plasma glucose (RPG) at admission and fasting plasma glucose (FPG) to select patients with AMI for glycosylated hemoglobin (HbA1c) testing. DESIGN SETTING ANDPARTICIPANTS: Prospective registry of 1574 patients with AMI not taking glucose-lowering medication from 24 US hospitals. All patients had HbA1c measured at a core laboratory and admission RPG and ≥2 FPGs recorded during hospitalization. We examined potential combinations of RPG and FPG and compared these with HbA1c≥6.5%-considered the gold standard for DM diagnosis in these analyses.

resultsAn RPG>140 mg/dL or FPG≥126 mg/dL had high sensitivity for DM diagnosis. Combining these into a screening protocol (if admission RPG>140, check HbA1c; or if FPG≥126 on a subsequent day, check HbA1c) led to HbA1c testing in 50% of patients and identified 86% with incident DM (number needed to screen (NNS)=3.3 to identify 1 case of DM; vs NNS=5.6 with universal HbA1c screening). Alternatively, using an RPG>180 led to HbA1c testing in 40% of patients with AMI and identified 82% of DM (NNS=2.7).

conclusionsWe have established two potential selective screening methods for DM in the setting of AMI that could identify the vast majority of incident DM by targeted screening of 40-50% of patients with AMI with HbA1c testing. Using these methods may efficiently identify patients with AMI with DM so that appropriate education and treatment can be promptly initiated.

Indexed as

DiagnosisGlucoseMyocardial Infarction

Identifiers

PMID25452878
PMCPMC4242083
OpenAlexW2142926386

What OpenQuestion holds

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LicenceCC BY-NC
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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.