Evidence map›Paper›PMID 28229272›Full record

ReviewHeart failure reviews2017

Prophylactic implantable cardioverter defibrillator in heart failure: the growing evidence for all or Primum non nocere for some?

Khang-Li Looi, Nigel Lever, Anthony Tang, Sharad Agarwal

Abstract readReview
PubMed Publisher
In one paragraph

Review in Heart failure reviews, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact, top 97% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Review
  2. 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

4 authors at 3 institutions in 3 countries.

Khang-Li LooiGreen Lane Cardiovascular Service, Auckland City Hospital, Auckland, 1023, New Zealand. khanglil@adhb.govt.nz.ORCID 0000-0001-6789-9055
Nigel LeverGreen Lane Cardiovascular Service, Auckland City Hospital, Auckland, 1023, New Zealand.
Anthony TangWestern University, London, ON, Canada.
Sharad AgarwalPapworth Hospital NHS Foundation Trust, Papworth Everard, Cambridge, UK.
Auckland City Hospital · NZPapworth Hospital NHS Foundation Trust · GBWestern University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Heart failure (HF) is a common health problem and has reached epidemic in many western countries. Despite the current era of HF treatment, the risk of sudden cardiac death (SCD) in HF remains significant. Implantable cardioverter defibrillator (ICD) support has been shown to reduce the risk of SCD in patients with HF and impaired left ventricular function. Prophylactic ICD implantation in HF patients seems a logical step to reduce mortality through a reduction in SCD. However, ICD implantation is an invasive procedure, and both short- and long-term complications can occur. This needs to be carefully considered when evaluating the risk-benefit ratio of ICD implantation for individual patients. As the severity of HF increases, the proportion of SCD compared with HF-related deaths decreases. The challenge lies in identifying patients with HF who are at significant risk of SCD and who would most benefit from an ICD in addition to other anti-arrhythmic strategies. This review offers insight on the applicability and practicability of ICD for this growing population.

Indexed as

Defibrillators, ImplantableHeart FailureRisk AssessmentDeath, Sudden, CardiacGlobal HealthHumansIncidenceRisk FactorsSurvival RateVentricular Function, LeftHeart failureImplantable cardioverter defibrillatorLeft ventricular ejection fractionNew York Heart Association (NYHA) class

Identifiers

PMID28229272
OpenAlexW2590504676

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.