Evidence map›Paper›PMID 33233445›Full record

ArticleDiagnostics (Basel, Switzerland)2020

Post-Mortem Cardiac Magnetic Resonance for the Diagnosis of Hypertrophic Cardiomyopathy.

Giovanni Donato Aquaro, Benedetta Guidi, Federico Biondi, Enrica Chiti, Alessandro Santurro, Matteo Scopetti, Emanuela Turillazzi, Marco Di Paolo

Abstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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

  1. Pooled it
  2. Review
  3. Article
  4. Post-Mortem Cardiac Magnetic Resonance in Explanted Heart of Patients with Sudden Death.International journal of environmental research and public health · 2022
    Article
  5. State of the Art on the Role ofTomography (Ann Arbor, Mich.) · 2022
    Review
  6. Article
  7. Review
  8. 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

8 authors.

Giovanni Donato AquaroFondazione Toscana G. Monasterio, 56124 Pisa, Italy.
Benedetta GuidiUO Medicina legale, University of Pisa, 56124 Pisa, Italy.
Federico BiondiDepartment of Cardiology, University of Trieste, 34100 Trieste, Italy.
Enrica ChitiClinical and Translational Science Research Department, University of Pisa, 56124 Pisa, Italy.
Alessandro SanturroDepartment of Anatomical, Histological, Forensic and Orthopaedic Sciences, Sapienza University of Rome; 00187 Rome, Italy.ORCID 0000-0001-5491-3719
Matteo ScopettiDepartment of Anatomical, Histological, Forensic and Orthopaedic Sciences, Sapienza University of Rome; 00187 Rome, Italy.ORCID 0000-0002-7259-3090
Emanuela TurillazziUO Medicina legale, University of Pisa, 56124 Pisa, Italy.
Marco Di PaoloUO Medicina legale, University of Pisa, 56124 Pisa, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPost-mortem cardiac magnetic resonance (PMCMR) is an emerging tool supporting forensic medicine for the identification of the causes of cardiac death, such as hypertrophic cardiomyopathy (HCM). We proposed a new method of PMCMR to diagnose HCM despite myocardial rigor mortis.

methodsWe performed CMR in 49 HCM patients, 30 non-HCM hypertrophy, and 32 healthy controls. In cine images, rigor mortis was simulated by the analysis of the cardiac phase corresponding to 25% of diastole. Left ventricular mass, mean, and standard deviation (SD) of WT, maximal WT, minimal WT, and their difference were compared for the identification of HCM. These parameters were validated at PMCMR, evaluating eight hearts with HCM, 10 with coronary artery disease, and 10 with non-cardiac death.

resultsThe SD of WT with a cut-off of > 2.4 had the highest accuracy to identify HCM (AUC 0.95, 95% CI = 0.89-0.98). This was particularly evident in the female population of HCM (AUC=0.998), with 100% specificity (95% CI = 85-100%) and 96% sensitivity (95% CI = 79-99%). Using this parameter, at PMCMR, all of the eight patients with HCM were correctly identified with no false positives.

conclusionsPMCMR allows identification of HCM as the cause of sudden death using the SD of WT > 2.4 as the diagnostic parameter.

Indexed as

hypertrophic cardiomyopathypost-mortem cardiac magnetic resonancesudden death

Identifiers

PMID33233445
PMCPMC7700290

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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.