Evidence map›Paper›PMID 29063221›Full record

ArticleThe international journal of cardiovascular imaging2018

High T2-weighted signal intensity for risk prediction of sudden cardiac death in hypertrophic cardiomyopathy.

D H Frank Gommans, G Etienne Cramer, Jeannette Bakker, Hendrik-Jan Dieker, Michelle Michels, Michael A Fouraux, Carlo L M Marcelis, Freek W A Verheugt, Janneke Timmermans, Marc A Brouwer and 1 more

Open access · hybridAbstract readMulticenter Study
In one paragraph

Article in The international journal of cardiovascular imaging, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.8field-weighted citation impact, top 13% 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, 26 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Endogenous T1ρ cardiovascular magnetic resonance in hypertrophic cardiomyopathy.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2021
    Article
  6. Review
  7. Article
  8. Article
  9. Observational
  10. Review
  11. Article
  12. Cardiovascular imaging 2018 in the International Journal of Cardiovascular Imaging.The international journal of cardiovascular imaging · 2019
    Article
  13. Article
  14. 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

11 authors at 3 institutions in 1 country.

D H Frank GommansDepartment of Cardiology, Radboud University Medical Center, Nijmegen, The Netherlands. frank.gommans@radboudumc.nl.
G Etienne CramerDepartment of Cardiology, Radboud University Medical Center, Nijmegen, The Netherlands.
Jeannette BakkerDepartment of Radiology, Albert Schweitzer Hospital, Dordrecht, The Netherlands.
Hendrik-Jan DiekerDepartment of Cardiology, Radboud University Medical Center, Nijmegen, The Netherlands.
Michelle MichelsDepartment of Cardiology, Erasmus Medical Center, Rotterdam, The Netherlands.
Michael A FourauxDepartment of Clinical Chemistry, Albert Schweitzer Hospital, Dordrecht, The Netherlands.
Carlo L M MarcelisDepartment of Clinical Genetics, Radboud University Medical Center, Nijmegen, The Netherlands.
Freek W A VerheugtDepartment of Cardiology, Radboud University Medical Center, Nijmegen, The Netherlands.
Janneke TimmermansDepartment of Cardiology, Radboud University Medical Center, Nijmegen, The Netherlands.
Marc A BrouwerDepartment of Cardiology, Radboud University Medical Center, Nijmegen, The Netherlands.
Marcel J M KofflardDepartment of Cardiology, Albert Schweitzer Hospital, Dordrecht, The Netherlands.
Radboud University Nijmegen · NLAlbert Schweitzer Ziekenhuis · NLErasmus MC · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In search of improved risk stratification in hypertrophic cardiomyopathy (HCM), CMR imaging has been implicated as a potential tool for prediction of sudden cardiac death (SCD). In follow-up of the promising results with extensive late gadolinium enhancement (LGE), high signal-intensity on T2-weighted imaging (HighT2) has become subject of interest given its association with markers of adverse disease progression, such as LGE, elevated troponin and non-sustained ventricular tachycardia. In lack of follow-up cohorts, we initiated an exploratory study on the association between HighT2 and the internationally defined risk categories of SCD. In a cohort of 109 HCM patients from a multicenter study on CMR imaging and biomarkers, we estimated the 5-year SCD risk (HCM Risk-SCD model). Patients were categorized as low (< 4%), intermediate (≥ 4-<6%) or high (≥ 6%) risk. In addition, risk categorization according to the ACC/AHA guidelines was performed. HighT2 was present in 27% (29/109). Patients with HighT2 were more often at an intermediate-high risk of SCD according to the European (28 vs. 10%, p = .032) and American guidelines (41 vs. 18%, p = .010) compared to those without HighT2. The estimated 5-year SCD risk of our cohort was 1.9% (IQR 1.3-2.9%), and projected SCD rates were higher in patients with than without HighT2 (2.8 vs. 1.8%, p = .002). In conclusion, HCM patients with HighT2 were more likely to be intermediate-high risk, with projected SCD rates that were 1.5 fold higher than in patients without HighT2. These pilot findings call for corroborative studies with more intermediate-high risk HCM patients and clinical follow-up to assess whether HighT2 may have additional value to current risk stratification.

Indexed as

Magnetic Resonance ImagingAdultAgedCardiomyopathy, HypertrophicDeath, Sudden, CardiacFemaleHumansMaleMiddle AgedNetherlandsPilot ProjectsPredictive Value of TestsPrognosisRisk AssessmentRisk FactorsTime FactorsCardiovascular magnetic resonance imagingHypertrophic cardiomyopathySudden cardiac death

Identifiers

PMID29063221
PMCPMC5797557
OpenAlexW2765550999

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.