Evidence map›Paper›PMID 30157266›Full record

ArticlePloS one2018

Right ventricular strain assessment by cardiovascular magnetic resonance myocardial feature tracking allows optimized risk stratification in Takotsubo syndrome.

Thomas Stiermaier, Torben Lange, Amedeo Chiribiri, Christian Möller, Tobias Graf, Uwe Raaz, Adriana Villa, Johannes T Kowallick, Joachim Lotz, Gerd Hasenfuß and 3 more

Abstract readEvaluation StudyMulticenter Study
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Review
  8. Takotsubo Syndrome-Is There a Need for CMR?Current heart failure reports · 2021
    Review
  9. Article
  10. 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

13 authors.

Thomas StiermaierUniversity Heart Center Lübeck, Medical Clinic II (Cardiology/Angiology/Intensive Care Medicine), University Hospital Schleswig-Holstein, Lübeck, Germany.
Torben LangeUniversity Medical Center Göttingen, Department of Cardiology and Pneumology, Georg-August University, Göttingen, Germany.
Amedeo ChiribiriDivision of Imaging Sciences and Biomedical Engineering, King's College London, London, United Kingdom.
Christian MöllerUniversity Heart Center Lübeck, Medical Clinic II (Cardiology/Angiology/Intensive Care Medicine), University Hospital Schleswig-Holstein, Lübeck, Germany.
Tobias GrafUniversity Heart Center Lübeck, Medical Clinic II (Cardiology/Angiology/Intensive Care Medicine), University Hospital Schleswig-Holstein, Lübeck, Germany.
Uwe RaazUniversity Medical Center Göttingen, Department of Cardiology and Pneumology, Georg-August University, Göttingen, Germany.
Adriana VillaDivision of Imaging Sciences and Biomedical Engineering, King's College London, London, United Kingdom.
Johannes T KowallickGerman Center for Cardiovascular Research (DZHK), partner site Göttingen, Göttingen, Germany.
Joachim LotzGerman Center for Cardiovascular Research (DZHK), partner site Göttingen, Göttingen, Germany.
Gerd HasenfußUniversity Medical Center Göttingen, Department of Cardiology and Pneumology, Georg-August University, Göttingen, Germany.
Holger ThieleHeart Center Leipzig - University Hospital, Department of Internal Medicine/Cardiology, Leipzig, Germany.
Andreas SchusterUniversity Medical Center Göttingen, Department of Cardiology and Pneumology, Georg-August University, Göttingen, Germany.
Ingo EitelUniversity Heart Center Lübeck, Medical Clinic II (Cardiology/Angiology/Intensive Care Medicine), University Hospital Schleswig-Holstein, Lübeck, Germany.ORCID 0000-0002-9385-9089

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA substantial number of patients with Takotsubo syndrome (TTS) exhibit right ventricular (RV) dysfunction which has been associated with adverse outcome. The aim of this study was to assess the clinical and prognostic value of RV myocardial strain in TTS using cardiovascular magnetic resonance myocardial feature tracking (CMR-FT).

methodsCMR-FT was performed in a core laboratory to determine RV longitudinal strain in 134 TTS patients undergoing CMR in median 2 days after admission to 2 experienced centers. For comparison, RV involvement was evaluated by sole visual assessment concerning RV contraction abnormalities. Both approaches were analyzed regarding their long-term prognostic value.

resultsThe peak global RV longitudinal strain was in median -19%. Segmental analyses located contraction abnormalities primarily in the apical parts of the right ventricle. Sole visual assessment identified 38 patients (28%) with RV involvement. These patients showed a numerically higher long-term mortality without reaching statistical significance (17.1% versus 10.5%; hazard ratio 1.38 [95% confidence interval 0.49-3.88]; p = 0.31). The optimal RV strain cutoff value for risk prediction was -17.24%. Stratification according to this threshold categorized 41% of TTS patients (n = 55) in the high-risk group which demonstrated a significantly increased long-term mortality compared to patients with preserved global RV strain (20.0% versus 7.0%; hazard ratio 2.98 [95% confidence interval 1.02-8.73]; p = 0.03).

conclusionsThe assessment of RV myocardial strain using CMR-FT enables an accurate evaluation of RV involvement in TTS and represents a promising approach for optimized risk stratification.

Indexed as

AgedFemaleHeart VentriclesHumansMagnetic Resonance ImagingMaleMiddle AgedPredictive Value of TestsTakotsubo Cardiomyopathy

Identifiers

PMID30157266
PMCPMC6114723

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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.