Evidence map›Paper›PMID 33066783›Full record

ArticleCardiovascular diabetology2020

MR-proANP and incident cardiovascular disease in patients with type 2 diabetes with and without heart failure with preserved ejection fraction.

Jesper Jensen, Morten Schou, Caroline Kistorp, Jens Faber, Tine W Hansen, Magnus T Jensen, Henrik U Andersen, Peter Rossing, Tina Vilsbøll, Peter G Jørgensen

Open access · goldAbstract readComparative Study
In one paragraph

Article in Cardiovascular diabetology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.8field-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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Biomarkers of HFpEF: Natriuretic Peptides, High-Sensitivity Troponins and Beyond.Journal of cardiovascular development and disease · 2022
    Review
  5. Review
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

10 authors at 4 institutions in 1 country.

Jesper JensenDepartment of Cardiology, Herlev and Gentofte Hospital, Borgmester Ib Juuls Vej 1, 2730, Herlev, Denmark. jesper.jensen.06@regionh.dk.ORCID 0000-0003-2821-9947
Morten SchouDepartment of Cardiology, Herlev and Gentofte Hospital, Borgmester Ib Juuls Vej 1, 2730, Herlev, Denmark.
Caroline KistorpDepartment of Endocrinology, Rigshospitalet, Blegdamsvej 9, 2100, Copenhagen, Denmark.
Jens FaberDepartment of Endocrinology, Herlev and Gentofte Hospital, Borgmester Ib Juuls Vej 1, 2730, Herlev, Denmark.
Tine W HansenSteno Diabetes Center Copenhagen, Niels Steensens Vej 2, 2820, Gentofte, Denmark.
Magnus T JensenDepartment of Cardiology, Copenhagen University Hospital Amager-Hvidovre Hospital, Kettegård Alle 30, 2650, Hvidovre, Denmark.
Henrik U AndersenSteno Diabetes Center Copenhagen, Niels Steensens Vej 2, 2820, Gentofte, Denmark.
Peter RossingSteno Diabetes Center Copenhagen, Niels Steensens Vej 2, 2820, Gentofte, Denmark.
Tina VilsbøllSteno Diabetes Center Copenhagen, Niels Steensens Vej 2, 2820, Gentofte, Denmark.
Peter G JørgensenDepartment of Cardiology, Herlev and Gentofte Hospital, Borgmester Ib Juuls Vej 1, 2730, Herlev, Denmark.
University of Copenhagen · DKSteno Diabetes Centers · DKGentofte Hospital · DKHvidovre Hospital · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMid-regional pro-atrial natriuretic peptide (MR-proANP) is a useful biomarker in outpatients with type 2 diabetes (T2D) to diagnose heart failure (HF). Elevated B-type natriuretic peptides are included in the definition of HF with preserved ejection fraction (HFpEF) but little is known about the prognostic value of including A-type natriuretic peptides (MR-proANP) in the evaluation of patients with T2D.

methodsWe prospectively evaluated the risk of incident cardiovascular (CV) events in outpatients with T2D (n = 806, mean ± standard deviation age 64 ± 10 years, 65% male, median [interquartile range] duration of diabetes 12 [6-17] years, 17.5% with symptomatic HFpEF) according to MR-proANP levels and stratified according to HF-status including further stratification according to a prespecified cut-off level of MR-proANP.

resultsA total of 126 CV events occurred (median follow-up 4.8 [4.1-5.3] years). An elevated MR-proANP, with a cut-off of 60 pmol/l or as a continuous variable, was associated with incident CV events (p < 0.001). Compared to patients without HF, patients with HFpEF and high MR-proANP (≥ 60 pmol/l; median 124 [89-202] pmol/l) and patients with HF and reduced ejection fraction (HFrEF) had a higher risk of CV events (multivariable model; hazard ratio (HR) 2.56 [95% CI 1.64-4.00] and 3.32 [1.64-6.74], respectively). Conversely, patients with HFpEF and low MR-proANP (< 60 pmol/l; median 46 [32-56] pmol/l) did not have an increased risk (HR 2.18 [0.78-6.14]).

conclusionsPatients with T2D and HFpEF with high MR-proANP levels had an increased risk for CV events compared to patients with HFpEF without elevated MR-proANP and compared to patients without HF, supporting the use of MR-proANP in the definition of HFpEF from a prognostic point-of-view.

Indexed as

AdrenomedullinAgedBiomarkersCardiovascular DiseasesDenmarkDiabetes Mellitus, Type 2FemaleHeart FailureHumansIncidenceMaleMiddle AgedPeptide FragmentsPredictive Value of TestsPrognosisProtein PrecursorsAdrenomedullinBiomarkersmid-regional pro-adrenomedullin, humanPeptide FragmentsProtein PrecursorsCardiovascular diseaseDiabetes complicationsHeart failureMacrovascular diseaseMR-proANPType 2 diabetes

Identifiers

PMID33066783
PMCPMC7568388
OpenAlexW3093160026

What OpenQuestion holds

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LicenceCC BY
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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.