Evidence map›Paper›PMID 29018522›Full record

ArticleArrhythmia & electrophysiology review2017

Ventricular Arrhythmia after Acute Myocardial Infarction: 'The Perfect Storm'.

Justine Bhar-Amato, William Davies, Sharad Agarwal

Open access · goldAbstract read
In one paragraph

Article in Arrhythmia & electrophysiology review, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
61citing papers in PubMed, 2 pooled it
6.6field-weighted citation impact, top 2% 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

61 citing papers in PubMed, 2 syntheses or guidelines pooled it, 135 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Review
  6. Article
  7. Predictive value of the NORPACS score for malignant ventricular arrhythmias in STEMI patients undergoing primary PCI.Clinical research in cardiology : official journal of the German Cardiac Society · 2026
    Article
  8. Article
  9. Review
  10. Poking holes in the heart's rhythm.Science (New York, N.Y.) · 2025
    Article
  11. Article
  12. Article
  13. Catestatin in Cardiovascular Diseases.International journal of molecular sciences · 2025
    Review
  14. Article
  15. Observational
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

1 more citing papers are in PubMed but not listed here.

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

3 authors at 1 institution in 1 country.

Justine Bhar-AmatoPapworth Hospital NHS Foundation Trust, Papworth Everard, Cambridge, United Kingdom.
William DaviesPapworth Hospital NHS Foundation Trust, Papworth Everard, Cambridge, United Kingdom.
Sharad AgarwalPapworth Hospital NHS Foundation Trust, Papworth Everard, Cambridge, United Kingdom.
Papworth Hospital NHS Foundation Trust · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ventricular tachyarrhythmias (VAs) commonly occur early in ischaemia, and remain a common cause of sudden death in acute MI. The thrombolysis and primary percutaneous coronary intervention era has resulted in the modification of the natural history of an infarct and subsequent VA. Presence of VA could independently influence mortality in patients recovering from MI. Appropriate risk assessment and subsequent treatment is warranted in these patients. The prevention and treatment of haemodynamically significant VA in the post-infarct period and of sudden cardiac death remote from the event remain areas of ongoing study.

Indexed as

Acute myocardial infarctionmanagementrisk assessmentventricular arrhythmias

Identifiers

PMID29018522
PMCPMC5610731
OpenAlexW2751405380

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.