Evidence map›Paper›PMID 27143317›Full record

ArticleJournal of magnetic resonance imaging : JMRI2016

3T MRI investigation of cardiac left ventricular structure and function in a UK population: The tayside screening for the prevention of cardiac events (TASCFORCE) study.

Stephen J Gandy, Matthew Lambert, Jill Belch, Ian Cavin, Elena Crowe, Roberta Littleford, Jennifer A MacFarlane, Shona Z Matthew, Patricia Martin, R Stephen Nicholas and 6 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of magnetic resonance imaging : JMRI, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.0field-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

12 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Reference ranges ("normal values") for cardiovascular magnetic resonance (CMR) in adults and children: 2020 update.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2020
    Review
  6. Cardiac structure and function in schizophrenia: cardiac magnetic resonance imaging study.The British journal of psychiatry : the journal of mental science · 2020
    Article
  7. Article
  8. Article
  9. Article
  10. Systemic arteriosclerosis is associated with left ventricular remodeling but not atherosclerosis: a TASCFORCE study.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2018
    Article
  11. Observational
  12. Reference ranges for cardiac structure and function using cardiovascular magnetic resonance (CMR) in Caucasians from the UK Biobank population cohort.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2017
    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

16 authors at 5 institutions in 2 countries.

Stephen J GandyNHS Tayside Clinical Radiology, Ninewells Hospital, Dundee, UK.
Matthew LambertUniversity of Dundee School of Medicine, Dundee, UK.
Jill BelchUniversity of Dundee School of Medicine, Dundee, UK.
Ian CavinNHS Tayside Medical Physics, Ninewells Hospital, Dundee, UK.
Elena CroweNHS Tayside Clinical Radiology, Ninewells Hospital, Dundee, UK.
Roberta LittlefordUniversity of Dundee School of Medicine, Dundee, UK.
Jennifer A MacFarlaneNHS Tayside Medical Physics, Ninewells Hospital, Dundee, UK.
Shona Z MatthewUniversity of Dundee School of Medicine, Dundee, UK.
Patricia MartinNHS Tayside Clinical Radiology, Ninewells Hospital, Dundee, UK.
R Stephen NicholasNHS Tayside Clinical Radiology, Ninewells Hospital, Dundee, UK.
Allan StruthersUniversity of Dundee School of Medicine, Dundee, UK.
Frank SullivanDepartment of Family and Community Medicine, University of Toronto, Toronto, Canada.
Shelley A WaughNHS Tayside Medical Physics, Ninewells Hospital, Dundee, UK.
Richard D WhiteNHS Tayside Clinical Radiology, Ninewells Hospital, Dundee, UK.
Jonathan R Weir-McCallUniversity of Dundee School of Medicine, Dundee, UK.
J Graeme HoustonNHS Tayside Clinical Radiology, Ninewells Hospital, Dundee, UK. ghouston@nhs.net.
NHS Tayside · GBUniversity of Dundee · GBNinewells Hospital · GBUniversity Hospital of Wales · GBUniversity of Toronto · CA

Funding

Medical Research Council MC_PC_13040Medical Research Council MR/K007017/1Medical Research Council MR/M501633/1Wellcome TrustWellcome Trust WT 085664
6 · The paper itself

Abstract

purposeTo scan a volunteer population using 3.0T magnetic resonance imaging (MRI). MRI of the left ventricular (LV) structure and function in healthy volunteers has been reported extensively at 1.5T. MATERIALS AND

methodsA population of 1528 volunteers was scanned. A standardized approach was taken to acquire steady-state free precession (SSFP) LV data in the short-axis plane, and images were quantified using commercial software. Six observers undertook the segmentation analysis.

resultsMean values (±standard deviation, SD) were: ejection fraction (EF) = 69 ± 6%, end diastolic volume index (EDVI) = 71 ± 13 ml/m

conclusionLV reference ranges are provided in this population-based MR study at 3.0T. The variables are similar to those described at 1.5T, including variations with age and gender. These data may help to support future population-based MR research studies that involve the use of 3.0T MRI scanners. J. Magn. Reson. Imaging 2016;44:1186-1196.

Indexed as

AdultAgedAged, 80 and overAge DistributionAgingFemaleHeart VentriclesHumansMagnetic Resonance ImagingMaleMass ScreeningMiddle AgedReference ValuesSex DistributionSex FactorsStroke Volume3.0Tcardiacleft ventricleMRIpopulation

Identifiers

PMID27143317
PMCPMC5082537
OpenAlexW2345775266

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.