Evidence map›Paper›PMID 29725812›Full record

ReviewHeart failure reviews2018

Postmortem cardiac magnetic resonance in sudden cardiac death.

Benedetta Guidi, Giovanni Donato Aquaro, Marco Gesi, Michele Emdin, Marco Di Paolo

Abstract readReview
PubMed Publisher
In one paragraph

Review in Heart failure reviews, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 pooled it
1.4field-weighted citation impact, top 18% 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

15 citing papers in PubMed, 2 syntheses or guidelines pooled it, 22 citations in OpenAlex.

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

5 authors at 2 institutions in 1 country.

Benedetta GuidiClinical and Translational Science Research Department, University of Pisa, Via Roma 55, 56124, Pisa, Italy. benedettaguidi@virgilio.it.
Giovanni Donato AquaroFondazione Toscana G.Monasterio, Pisa, Italy.
Marco GesiClinical and Translational Science Research Department, University of Pisa, Via Roma 55, 56124, Pisa, Italy.
Michele EmdinFondazione Toscana G.Monasterio, Pisa, Italy.
Marco Di PaoloLegal Medicine Section, University of Pisa, Pisa, Italy.
University of Pisa · ITFondazione Toscana Gabriele Monasterio · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Postmortem imaging is increasingly used in forensic practice as good complementary tool to conventional autopsy investigations. Over the last decade, postmortem cardiac magnetic resonance (PMCMR) imaging was introduced in forensic investigations of natural deaths related to cardiovascular diseases, which represent the most common causes of death in developed countries. Postmortem CMR application has yielded interesting results in ischemic myocardium injury investigations and in visualizing other pathological findings in the heart. This review presents the actual state of postmortem imaging for cardiovascular pathologies in cases of sudden cardiac death (SCD), taking into consideration both the advantages and limitations of PMCMR application.

Indexed as

Death, Sudden, CardiacPostmortem ChangesHeart DiseasesHumansMagnetic Resonance Imaging, CinePostmortem cardiac magnetic resonancePostmortem imagingSudden cardiac death

Identifiers

PMID29725812
OpenAlexW2801000237

What OpenQuestion holds

Textmetadata
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.