Evidence map›Paper›PMID 38129418›Full record

ArticleScientific reports2023

Prognostic utility and characterization of left ventricular hypertrophy using global thickness.

Magnus Lundin, Einar Heiberg, David Nordlund, Tom Gyllenhammar, Katarina Steding-Ehrenborg, Henrik Engblom, Marcus Carlsson, Dan Atar, Jesper van der Pals, David Erlinge and 16 more

Abstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Cardiac remodeling in elite young Asian female soccer players.Frontiers in cardiovascular medicine · 2024
    Article
  10. Hydraulic forces assist left ventricular filling in aortic stenosis at baseline and after valve replacement.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance
    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

26 authors.

Magnus LundinDepartment of Clinical Physiology, Karolinska University Hospital, and Karolinska Institutet, Stockholm, Sweden.
Einar HeibergDepartment of Clinical Sciences Lund, Clinical Physiology, Lund University, Skåne University Hospital, Lund, Sweden.
David NordlundDepartment of Clinical Sciences Lund, Clinical Physiology, Lund University, Skåne University Hospital, Lund, Sweden.
Tom GyllenhammarDepartment of Clinical Sciences Lund, Clinical Physiology, Lund University, Skåne University Hospital, Lund, Sweden.
Katarina Steding-EhrenborgDepartment of Clinical Sciences Lund, Clinical Physiology, Lund University, Skåne University Hospital, Lund, Sweden.
Henrik EngblomDepartment of Clinical Sciences Lund, Clinical Physiology, Lund University, Skåne University Hospital, Lund, Sweden.
Marcus CarlssonDepartment of Clinical Sciences Lund, Clinical Physiology, Lund University, Skåne University Hospital, Lund, Sweden.
Dan AtarDepartment of Cardiology, and Institute of Clinical Medicine, Oslo University Hospital Ulleval, University of Oslo, Oslo, Norway.
Jesper van der PalsArrhythmia Clinic, Skåne University Hospital, and Department of Cardiology, Clinical Sciences, Lund University, Lund, Sweden.
David ErlingeDepartment of Clinical Sciences, Cardiology, Lund University, Skåne University Hospital, Lund, Sweden.
Rasmus BorgquistArrhythmia Clinic, Skåne University Hospital, and Department of Cardiology, Clinical Sciences, Lund University, Lund, Sweden.
Ardavan KhoshnoodDepartment of Clinical Sciences, Emergency and Internal Medicine, Lund University, Skåne University Hospital, Lund, Sweden.
Ulf EkelundDepartment of Clinical Sciences, Emergency and Internal Medicine, Lund University, Skåne University Hospital, Lund, Sweden.
Jannike NickanderDepartment of Clinical Physiology, Karolinska University Hospital, and Karolinska Institutet, Stockholm, Sweden.
Raquel ThemudoDepartment of Clinical Physiology, Karolinska University Hospital, and Karolinska Institutet, Stockholm, Sweden.
Sabrina NordinInstitute of Cardiovascular Science, University College London, London, UK.
Rebecca KozorKolling Institute, Royal North Shore Hospital, and University of Sydney, Sydney, Australia.
Anish N BhuvaInstitute of Cardiovascular Science, University College London, London, UK.
James C MoonInstitute of Cardiovascular Science, University College London, London, UK.
Eva MaretDepartment of Clinical Physiology, Karolinska University Hospital, and Karolinska Institutet, Stockholm, Sweden.
Kenneth CaidahlDepartment of Clinical Physiology, Karolinska University Hospital, and Karolinska Institutet, Stockholm, Sweden.
Andreas SigfridssonDepartment of Clinical Physiology, Karolinska University Hospital, and Karolinska Institutet, Stockholm, Sweden.
Peder SörenssonDepartment of Cardiology, Karolinska University Hospital, Stockholm, Sweden.
Erik B SchelbertUniversity of Pittsburgh Medical Center, Pittsburgh, PA, USA.
Håkan ArhedenDepartment of Clinical Sciences Lund, Clinical Physiology, Lund University, Skåne University Hospital, Lund, Sweden.
Martin UganderDepartment of Clinical Physiology, Karolinska University Hospital, and Karolinska Institutet, Stockholm, Sweden. martin.ugander@gmail.com.

Funding

Hjärt-Lungfonden 20170870Karolinska Institutet Clinical Scientist Training program (M Lundin), 2012Stockholms Läns Landsting 20140547Vetenskapsrådet 2011-38395-87953-13
6 · The paper itself

Abstract

Cardiovascular magnetic resonance (CMR) can accurately measure left ventricular (LV) mass, and several measures related to LV wall thickness exist. We hypothesized that prognosis can be used to select an optimal measure of wall thickness for characterizing LV hypertrophy. Subjects having undergone CMR were studied (cardiac patients, n = 2543; healthy volunteers, n = 100). A new measure, global wall thickness (GT, GTI if indexed to body surface area) was accurately calculated from LV mass and end-diastolic volume. Among patients with follow-up (n = 1575, median follow-up 5.4 years), the most predictive measure of death or hospitalization for heart failure was LV mass index (LVMI) (hazard ratio (HR)[95% confidence interval] 1.16[1.12-1.20], p < 0.001), followed by GTI (HR 1.14[1.09-1.19], p < 0.001). Among patients with normal findings (n = 326, median follow-up 5.8 years), the most predictive measure was GT (HR 1.62[1.35-1.94], p < 0.001). GT and LVMI could characterize patients as having a normal LV mass and wall thickness, concentric remodeling, concentric hypertrophy, or eccentric hypertrophy, and the three abnormal groups had worse prognosis than the normal group (p < 0.05 for all). LV mass is highly prognostic when mass is elevated, but GT is easily and accurately calculated, and adds value and discrimination amongst those with normal LV mass (early disease).

Indexed as

Heart FailureHypertrophy, Left VentricularHeart VentriclesHumansPrognosisVentricular Function, LeftVentricular Remodeling

Identifiers

PMID38129418
PMCPMC10740032

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