Evidence map›Paper›PMID 30155867›Full record

ArticleCardiology journal2018

TBC: A simple algorithm to rule out abnormalities in electrocardiograms of patients with pacemakers.

Javier Higueras, Carmen Olmos, Julián Palacios-Rubio, Juan Carlos Gómez-Polo, Pedro Martínez-Losas, Virginia Ruiz-Pizarro, Ramón Bover, Julián Pérez-Villacastín

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In one paragraph

Article in Cardiology journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Javier HiguerasHospital Clinico San Carlos, Madrid, Spain. javierhnb@yahoo.es.
Carmen Olmos
Julián Palacios-Rubio
Juan Carlos Gómez-Polo
Pedro Martínez-Losas
Virginia Ruiz-Pizarro
Ramón Bover
Julián Pérez-Villacastín

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aim of the study was to create a straightforward method to rule out abnormalities in electrocardiograms (ECGs) performed in patients with pacemakers.

methodsThe TBC method screens the ECG for any of the following findings: Tachycardia with pacing spikes, Bradycardia without spikes and Chaos with spikes unrelated to QRS-T complexes. T was considered to advise for patient assessment and B and C to require referral for urgent pacemaker evaluation. The diagnostic accuracy of the algorithm was validated using a cohort of 151 ECGs with normal and dysfunctional pacemakers. The effect of the algorithm was then evaluated for diagnostic skills and management of patients with pacemakers by non-cardiologists, comparing their diagnostic accuracy before and after teaching the algorithm.

resultsThe TBC algorithm had a sensitivity of 86% and a specificity of 94% in diagnosing a malfunctioning pacemaker. The diagnostic skills and patient referral were significantly improved (74.8% vs. 89.5%, p < 0.001; and 57.4% vs. 83%, p < 0.001).

conclusionsTBC is an easy to remember and apply method to rule out severe abnormalities in ECGs of patients with pacemakers. TBC algorithm has a very good diagnostic capability and is easily applied by non-expert physicians with good results.

Indexed as

artificial*artificial/educationartificial/therapyelectrocardiography*electrocardiography/education*: major): pacemaker(MeSHpacemaker

Identifiers

PMID30155867
PMCPMC8016021

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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.