Evidence map›Paper›PMID 27932342›Full record

ArticleBMJ open2016

Time-saving screening for diabetes in patients with coronary artery disease: a report from EUROASPIRE IV.

Viveca Gyberg, Dirk De Bacquer, Kornelia Kotseva, Guy De Backer, Oliver Schnell, Jaakko Tuomilehto, David Wood, Lars Rydén

Open access · goldAbstract readValidation Study
In one paragraph

Article in BMJ open, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 27% 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

2 citing papers in PubMed, 8 citations in OpenAlex.

  1. Trial
  2. Observational
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

8 authors at 5 institutions in 10 countries.

Viveca GybergCardiology Unit, Department of Medicine, Karolinska Institutet, Stockholm, Sweden.
Dirk De BacquerDepartment of Public Health, Ghent University, Ghent, Belgium.
Kornelia KotsevaDepartment of Cardiovascular Medicine, National Heart and Lung Institute, Imperial College London, London, UK.
Guy De BackerDepartment of Public Health, Ghent University, Ghent, Belgium.
Oliver SchnellForschergruppe Diabetes e.V. at the Helmholtz Center, Munich, Germany.
Jaakko TuomilehtoDanube-University Krems, Krems, Austria.
David WoodDepartment of Cardiovascular Medicine, National Heart and Lung Institute, Imperial College London, London, UK.
Lars RydénCardiology Unit, Department of Medicine, Karolinska Institutet, Stockholm, Sweden.
Ghent University Hospital · BEKarolinska Institutet · SELung Institute · USHelmholtz Zentrum München · DEUniversität für Weiterbildung Krems · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWHO advocates 2-hour oral glucose tolerance test (OGTT) for detecting diabetes mellitus (DM). OGTT is the most sensitive method to detect DM in patients with coronary artery disease (CAD). Considered time consuming, the use of OGTT is unsatisfactory. A 1-hour plasma glucose (1hPG) test has not been evaluated as an alternative in patients with CAD.

objectivesTo create an algorithm based on glycated haemoglobin (HbA1c), fasting plasma glucose (FPG) and 1hPG limiting the need of a 2-hour plasma glucose (2hPG) in patients with CAD.

methods951 patients with CAD without DM underwent OGTT. A 2hPG≥11.1 mmol/L was the reference for undiagnosed DM. The yield of HbA1c, FPG and 1hPG was compared with that of 2hPG.

resultsMean FPG was 6.2±0.9 mmol/L, and mean HbA1c 5.8±0.4%. Based on 2hPG≥11.1 mmol/L 122 patients (13%) had DM. There was no value for the combination of HbA1c and FPG to rule out or in DM (HbA1c≥6.5%; FPG≥7.0 mmol/L). In receiver operating characteristic analysis a 1hPG≥12 mmol/L balanced sensitivity and specificity for detecting DM (both=82%; positive and negative predictive values 40% and 97%). A combination of FPG<6.5 mmol/L and 1hPG<11 mmol/L excluded 99% of DM. A combination of FPG>8.0 mmol/L and 1hPG>15 mmol/L identified 100% of patients with DM.

conclusionsBased on its satisfactory accuracy to detect DM an algorithm is proposed for screening for DM in patients with CAD decreasing the need for a 2-hour OGTT by 71%.

Indexed as

AlgorithmsAgedBlood GlucoseCoronary Artery DiseaseDiabetes MellitusEuropeFastingFemaleGlucose IntoleranceGlucose Tolerance TestGlycated HemoglobinHumansMaleMass ScreeningMiddle AgedReference ValuesBlood GlucoseGlycated HemoglobinDiabetesFasting Plasma GlucoseHbA1cOral Glucose Tolerance TestScreening

Identifiers

PMID27932342
PMCPMC5168687
OpenAlexW2560662299

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.