Evidence map›Paper›PMID 28365183›Full record

ReviewInternational journal of cardiology2017

Sudden cardiac death in 2017: Spotlight on prediction and prevention.

Sumeet S Chugh

Abstract readReview
In one paragraph

Review in International journal of cardiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

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

  1. Pooled it
  2. Observational
  3. Population Modeling Approach for Human Cardiac Arrhythmia Risk Prediction.Circulation. Arrhythmia and electrophysiology · 2026
    Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. The role of pulse timing in cardiac defibrillation.Frontiers in network physiology · 2022
    Article
  11. Article
  12. Article
  13. Article
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  15. Article
  16. Article
  17. Article
  18. Review
  19. 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

1 author.

Sumeet S ChughThe Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States. Electronic address: sumeet.chugh@cshs.org.

Funding

Sudden Cardiac Death with Preserved Left Ventricular Ejection FractionR01HL126938 · NHLBI · CEDARS-SINAI MEDICAL CENTER · PI CHUGH, SUMEET S. · 2016 to 2019
$2.6M
Determinants of Sudden Death Risk with Left Ventricular HypertrophyR01HL088416 · NHLBI · OREGON HEALTH & SCIENCE UNIVERSITY · PI CHUGH, SUMEET S. · 2007 to 2011
$2.4M
Sudden Cardiac Death in Middle AgeR01HL122492 · NHLBI · CEDARS-SINAI MEDICAL CENTER · PI CHUGH, SUMEET S. · 2015 to 2018
$2.2M
NHLBI NIH HHS R01 HL088416NHLBI NIH HHS R01 HL122492NHLBI NIH HHS R01 HL126938
6 · The paper itself

Abstract

This commentary will provide a brief synopsis of the progress made in prediction and prevention of sudden cardiac death (SCD), the challenges that remain, and the opportunities available to make a real impact in this field. The dawning of the new millennium saw the prophylactic implantable defibrillator (ICD) firmly established as the major primary prevention modality, poised to make a major impact on the burden of SCD. More than a decade and a half later, has this expectation been realized? The modest impact of the primary prevention ICD on SCD burden is largely due to the now well-recognized inadequate performance of the left ventricular ejection fraction as a risk stratification tool. Consequently, the field has transitioned from a focus on the "high-risk ejection fraction" to the broader concept of the "high-risk patient". There are currently no effective means of stratifying SCD risk in patients with preserved EF, who constitute the majority (at least 70%) of all patients who will suffer SCD. Can the field be disrupted and novel predictors of SCD identified? In addition to the ongoing quest for identification of the high-risk patient early in the nature history of SCD, a new paradigm for preventing SCD in the "near-term", within several weeks of the lethal event, has been proposed. While rapid advances in technology, data warehousing and analysis will accelerate the process of enhancing SCD prediction and prevention; regulatory, funding and clinical implementation strategies will need to keep pace if these expectations are to be realized.

Indexed as

Death, Sudden, CardiacDefibrillators, ImplantableHumansMyocardial InfarctionPredictive Value of TestsPrimary PreventionRisk FactorsStroke Volume

Identifiers

PMID28365183
PMCPMC5476840

What OpenQuestion holds

Textmetadata
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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.