Evidence map›Paper›PMID 37775174›Full record

ReviewClinical medicine (London, England)2023

Diagnosis and management of ventricular tachycardia.

John Whitaker, Matthew J Wright, Usha Tedrow

Open access · diamondAbstract readReview
In one paragraph

Review in Clinical medicine (London, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
4.0field-weighted citation impact, top 5% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Cardiovascular disease: everybody's business.Clinical medicine (London, England) · 2026
    Article
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  7. Review
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  13. Review
  14. Hearts and minds.Clinical medicine (London, England) · 2023
    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

3 authors at 2 institutions in 2 countries.

John WhitakerSchool of Biomedical Engineering and Imaging Sciences at King's College, London, UK and Cardiovascular Directorate Guy's and St Thomas's NHS Foundation Trust, London, UK john.whitaker@kcl.ac.uk.
Matthew J WrightSchool of Biomedical Engineering and Imaging Sciences at King's College, London, UK and Cardiovascular Directorate Guy's and St Thomas's NHS Foundation Trust, London, UK.
Usha TedrowBrigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Guy's and St Thomas' NHS Foundation Trust · GBBrigham and Women's Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ventricular tachycardia (VT) describes rapid heart rhythms originating from the ventricles. Accurate diagnosis of VT is important to allow prompt referral to specialist services for ongoing management. The diagnosis of VT is usually made based on electrocardiographic data, most commonly 12-lead echocardiography (ECG), as well as supportive cardiac telemetric monitoring. Distinguishing between VT and supraventricular arrhythmias on ECG can be difficult. However, the VT diagnosis frequently needs to be made rapidly in the acute setting. In this review, we discuss the definition of VT, review features of wide-complex tachycardia (WCT) on ECG that might be helpful in diagnosing VT, discuss the different substrates in which VT can occur and offer brief comments on management considerations for patients found to have VT.

Indexed as

Tachycardia, SupraventricularTachycardia, VentricularDiagnosis, DifferentialElectrocardiographyHeart VentriclesHumansablationarrhythmiaECGVentricular tachycardiawide-complex tachycardia

Identifiers

PMID37775174
PMCPMC10541285
OpenAlexW4387190701

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.