Evidence map›Paper›PMID 30075751›Full record

ArticleBMC cardiovascular disorders2018

Managing patients with prediabetes and type 2 diabetes after coronary events: individual tailoring needed - a cross-sectional study.

John Munkhaugen, Jøran Hjelmesæth, Jan Erik Otterstad, Ragnhild Helseth, Stina Therese Sollid, Erik Gjertsen, Lars Gullestad, Joep Perk, Torbjørn Moum, Einar Husebye and 1 more

Registry-linked trialOpen access · goldAbstract readMulticenter Study
In one paragraph

Article in BMC cardiovascular disorders, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02309255 (The NOR-COR), which is not on this 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
0.3field-weighted citation impact, top 36% 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.

NCT02309255 completednot on this map

The NOR-COR (NORwegian CORonary) Study: Identification of CHD Patients With Poor Adherence to Secondary Prevention and Their Perceived Needs for Follow-up

TypeobservationalSponsorVestre Viken Hospital TrustRan2014 to 2015Enrolled975ConditionsSecondary Coronary PreventionArmsno intervention
3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Review
  6. 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

11 authors at 5 institutions in 2 countries.

John MunkhaugenDepartment of Medicine, Drammen Hospital, Vestre Viken Health Trust, Dronninggata 41, 3004, Drammen, Norway. johmun@vestreviken.no.ORCID 0000-0001-6141-2162
Jøran HjelmesæthMorbid Obesity Centre, Vestfold Hospital Trust, Tønsberg, Norway.
Jan Erik OtterstadDepartment of Medicine, Vestfold Hospital Trust, Tønsberg, Norway.
Ragnhild HelsethCentre for Clinical Heart Research, Department of Cardiology, Oslo University Hospital Ullevål, Oslo, Norway.
Stina Therese SollidDepartment of Medicine, Drammen Hospital Trust, Drammen, Norway.
Erik GjertsenDepartment of Medicine, Drammen Hospital Trust, Drammen, Norway.
Lars GullestadFaculty of Medicine, University of Oslo, Oslo, Norway.
Joep PerkLinneus University, Kalmar, Sweden.
Torbjørn MoumDepartment of Behavioural Sciences in Medicine and Faculty of Medicine, University of Oslo, Oslo, Norway.
Einar HusebyeDepartment of Medicine, Drammen Hospital Trust, Drammen, Norway.
Toril DammenDepartment of Behavioural Sciences in Medicine and Faculty of Medicine, University of Oslo, Oslo, Norway.
University of Oslo · NODrammen Hospital · NOOslo University Hospital · NOLinnaeus University · SESykehuset i Vestfold · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUnderstanding the determinants associated with prediabetes and type 2 diabetes in coronary patients may help to individualize treatment and modelling interventions. We sought to identify sociodemographic, medical and psychosocial factors associated with normal blood glucose (HbA1c < 5.7%), prediabetes (HbA1c 5.7-6.4%), and type 2 diabetes.

methodsA cross-sectional explorative study applied regression analyses to investigate the factors associated with glycaemic status and control (HbA

resultsIn all, 23% had type 2 diabetes, 44% had prediabetes, and 33% had normal blood glucose at follow-up. In adjusted analyses, type 2 diabetes was associated with larger waist circumference (Odds Ratio 1.03 per 1.0 cm, p = 0.001), hypertension (Odds Ratio 2.7, p < 0.001), lower high-density lipoprotein cholesterol (Odds Ratio 0.3 per1.0 mmol/L, p = 0.002) and insomnia (Odds Ratio 2.0, p = 0.002). In adjusted analyses, prediabetes was associated with smoking (Odds Ratio 3.3, p = 0.001), hypertension (Odds Ratio 1.5, p = 0.03), and non-participation in cardiac rehabilitation (Odds Ratio 1.7, p = 0.003). In patients with type 2 diabetes, a higher HbA

conclusionsAlong with obesity and hypertension, insomnia and low drug adherence were the major modifiable factors associated with type 2 diabetes, whereas smoking and non-participation in cardiac rehabilitation were the factors associated with prediabetes. Further research on the effect of individual tailoring, addressing the reported significant predictors of failure, is needed to improve glycaemic control.

trial registrationRetrospectively registered at ClinicalTrials.gov: NCT02309255 , December 5th 2014.

Indexed as

AgedBiomarkersBlood GlucoseCardiac RehabilitationComorbidityCoronary Artery DiseaseCross-Sectional StudiesDiabetes Mellitus, Type 2FemaleGlycated HemoglobinHumansHypertensionHypoglycemic AgentsMaleMedication AdherenceMiddle AgedBiomarkersBlood GlucoseGlycated Hemoglobinhemoglobin A1c protein, humanHypoglycemic AgentsCoronary heart diseaseGlycaemic controlHbA1cPrediabetesPsychosocial factorsRisk factor controlSecondary preventionType 2 diabetes

Identifiers

PMID30075751
PMCPMC6091110
OpenAlexW2886422434

What OpenQuestion holds

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Registered trials

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.