Evidence map›Paper›PMID 34642428›Full record

ArticleScientific reports2021

A novel cardiovascular magnetic resonance risk score for predicting mortality following surgical aortic valve replacement.

Vassilios S Vassiliou, Menelaos Pavlou, Tamir Malley, Brian P Halliday, Vasiliki Tsampasian, Claire E Raphael, Gary Tse, Miguel Silva Vieira, Dominique Auger, Russell Everett and 8 more

Abstract readMulticenter Study
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 3 pooled it
–field-weighted citation impact
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

7 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Article
  7. 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

18 authors.

Vassilios S VassiliouCMR Unit, Department of CMR, Royal Brompton Hospital and National Heart and Lung Institute, Imperial College, Sydney Street, London, SW3 6NP, UK. v.vassiliou@uea.ac.uk.
Menelaos PavlouDepartment of Statistical Science, University College London, London, UK.
Tamir MalleyCMR Unit, Department of CMR, Royal Brompton Hospital and National Heart and Lung Institute, Imperial College, Sydney Street, London, SW3 6NP, UK.
Brian P HallidayCMR Unit, Department of CMR, Royal Brompton Hospital and National Heart and Lung Institute, Imperial College, Sydney Street, London, SW3 6NP, UK. b.halliday@rbht.nhs.uk.
Vasiliki TsampasianDepartment of Cardiology, Norwich Medical School, University of East Anglia, Norfolk and Norwich University Hospital, Floor 2, Bob Champion Building, James Watson Road, Norwich, NR4 7UQ, UK.
Claire E RaphaelCMR Unit, Department of CMR, Royal Brompton Hospital and National Heart and Lung Institute, Imperial College, Sydney Street, London, SW3 6NP, UK.
Gary TseKent and Medway Medical School, Canterbury, UK.
Miguel Silva VieiraCMR Unit, Department of CMR, Royal Brompton Hospital and National Heart and Lung Institute, Imperial College, Sydney Street, London, SW3 6NP, UK.
Dominique AugerCMR Unit, Department of CMR, Royal Brompton Hospital and National Heart and Lung Institute, Imperial College, Sydney Street, London, SW3 6NP, UK.
Russell EverettCentre for Cardiovascular Sciences, University of Edinburgh, Edinburgh, USA.
Calvin ChinCentre for Cardiovascular Sciences, University of Edinburgh, Edinburgh, USA.
Francisco AlpenduradaCMR Unit, Department of CMR, Royal Brompton Hospital and National Heart and Lung Institute, Imperial College, Sydney Street, London, SW3 6NP, UK.
John PepperCMR Unit, Department of CMR, Royal Brompton Hospital and National Heart and Lung Institute, Imperial College, Sydney Street, London, SW3 6NP, UK.
Dudley J PennellCMR Unit, Department of CMR, Royal Brompton Hospital and National Heart and Lung Institute, Imperial College, Sydney Street, London, SW3 6NP, UK.
David E NewbyCentre for Cardiovascular Sciences, University of Edinburgh, Edinburgh, USA.
Andrew JabbourDepartment of Cardiology, St. Vincent's University, Sydney, NSW, Australia.
Marc R DweckCentre for Cardiovascular Sciences, University of Edinburgh, Edinburgh, USA.
Sanjay K PrasadCMR Unit, Department of CMR, Royal Brompton Hospital and National Heart and Lung Institute, Imperial College, Sydney Street, London, SW3 6NP, UK. s.prasad@rbht.nhs.uk.

Funding

British Heart Foundation CH/09/002British Heart Foundation CH/09/002/26360British Heart Foundation FS/14/13/30619British Heart Foundation FS/14/78/31020British Heart Foundation FS/15/29/31492Department of HealthWellcome Trust WT103782AIA
6 · The paper itself

Abstract

The increasing prevalence of patients with aortic stenosis worldwide highlights a clinical need for improved and accurate prediction of clinical outcomes following surgery. We investigated patient demographic and cardiovascular magnetic resonance (CMR) characteristics to formulate a dedicated risk score estimating long-term survival following surgery. We recruited consecutive patients undergoing CMR with gadolinium administration prior to surgical aortic valve replacement from 2003 to 2016 in two UK centres. The outcome was overall mortality. A total of 250 patients were included (68 ± 12 years, male 185 (60%), with pre-operative mean aortic valve area 0.93 ± 0.32cm

Indexed as

AgedAged, 80 and overAortic Valve StenosisFemaleGadoliniumHeart Valve Prosthesis ImplantationHumansMagnetic Resonance Imaging, CineMaleMiddle AgedMultivariate AnalysisPlatelet Aggregation InhibitorsRisk FactorsStroke VolumeSurvival AnalysisTreatment OutcomeGadoliniumPlatelet Aggregation Inhibitors

Identifiers

PMID34642428
PMCPMC8511276

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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.