Evidence map›Paper›PMID 28120157›Full record

Observational studyThe international journal of cardiovascular imaging2017

Subclinical markers of cardiovascular disease predict adverse outcomes in chronic kidney disease patients with normal left ventricular ejection fraction.

Samir Sulemane, Vasileios F Panoulas, Athanasios Bratsas, Julia Grapsa, Edwina A Brown, Petros Nihoyannopoulos

Open access · hybridAbstract readObservational Study
In one paragraph

Observational study in The international journal of cardiovascular imaging, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 14% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

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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

6 authors at 4 institutions in 2 countries.

Samir SulemaneImperial College London, National Heart and Lung Institute, Sydney Street, London, SW6 3NP, UK. s.sulemane11@imperial.ac.uk.ORCID http://orcid.org/0000-0002-3016-8459
Vasileios F PanoulasImperial College London, National Heart and Lung Institute, Sydney Street, London, SW6 3NP, UK.
Athanasios BratsasImperial College Healthcare NHS, Hammersmith Hospital, Ducane road, London, W12 0HP, UK.
Julia GrapsaImperial College London, National Heart and Lung Institute, Sydney Street, London, SW6 3NP, UK.
Edwina A BrownImperial College Renal and Transplant Centre, Hammersmith Hospital, Ducane road, London, W12 0HP, UK.
Petros NihoyannopoulosImperial College London, National Heart and Lung Institute, Sydney Street, London, SW6 3NP, UK.
Imperial College Healthcare NHS Trust · GBImperial College London · GBHammersmith Hospital · GBLung Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Emerging cardiovascular biomarkers, such as speckle tracking echocardiography (STE) and aortic pulse wave velocity (aPWV), have recently demonstrated the presence of subclinical left ventricular dysfunction and arterial stiffening in patients with chronic kidney disease (CKD) and no previous cardiovascular history. However, limited information exists on the prognostic impact of these biomarkers. We aimed to investigate whether STE and aPWV predict major adverse cardiac events (MACE) in this patient population. In this cohort study we prospectively analysed 106 CKD patients with no overt cardiovascular disease (CVD) and normal left ventricular ejection fraction. Cardiac deformation was measured using STE while aPWV was measured using arterial tonometry. The primary end-point was the composite of all-cause mortality, acute coronary syndrome, stable angina requiring revascularization (either using percutaneous coronary intervention or coronary artery bypass surgery), hospitalization for heart failure and stroke. Over a median follow up period of 49 months (interquartile range 11-63 months), 26 patients (24.5%) reached the primary endpoint. In a multivariable Cox hazards model, global longitudinal strain (GLS) (HR 1.12, 95% CI 1.02-1.29, p = 0.041) and aPWV (HR 1.31, 95% CI 1.05-1.41, p = 0.021) were significant, independent predictors of MACE. GLS and aPWV independently predict MACE in CKD patients with normal EF and no clinically overt CVD.

Indexed as

Echocardiography, Doppler, PulsedPulse Wave AnalysisStroke VolumeVascular StiffnessVentricular Function, LeftAdultAgedCardiovascular DiseasesChi-Square DistributionCoronary Artery BypassDisease ProgressionFemaleHospitalizationHumansKaplan-Meier EstimateKidneyAortic pulse wave velocityCardiovascular outcomesChronic kidney diseaseSpeckle tracking echocardiography

Identifiers

PMID28120157
PMCPMC5383685
OpenAlexW2581099366

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.