Evidence map›Paper›PMID 28899884›Full record

ArticleBMJ case reports2017

Supraventricular tachycardia diagnosed by smartphone ECG.

Ariana Tabing, Travis Edward Harrell, Steven Romero, Gregory Francisco

Abstract readCase Reports
In one paragraph

Article in BMJ case reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–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

8 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Assessment of signal quality measured with a smart 12-lead ECG acquisition T-shirt.Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc · 2020
    Article
  8. 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.

Ariana TabingDepartment of Internal Medicine, Naval Medical Center San Diego, San Diego, California, USA.
Travis Edward HarrellDepartment of Cardiology, Naval Medical Center San Diego, San Diego, California, USA.ORCID http://orcid.org/0000-0001-9441-8149
Steven RomeroDepartment of Cardiology, Naval Medical Center San Diego, San Diego, California, USA.
Gregory FranciscoDepartment of Cardiology, Naval Medical Center San Diego, San Diego, California, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diagnosis of paroxysmal supraventricular tachycardia (PSVT) may be difficult due to its episodic nature, which can be brief and self-limited, limiting the ability for clinicians to diagnose the specific rhythm disorder in a timely manner. We present a case of PSVT, which was unable to be diagnosed through typical evaluation with an event monitor despite several years of symptoms. The patient was ultimately diagnosed using the AliveCor Mobile ECG, a smartphone-based ECG device and application, which he purchased himself and captured a typical atrioventricular node re-entrant tachycardia. The patient was then able to email his cardiologist the tracing, which led to an electrophysiology study and successful slow pathway ablation procedure. Smartphone-based technology has the potential to push diagnostic evaluations outside of the healthcare system and empower patients.

Indexed as

SmartphoneCatheter AblationElectrocardiographyElectrophysiologyHealth Knowledge, Attitudes, PracticeHumansMaleMiddle AgedPredictive Value of TestsSignal Processing, Computer-AssistedTachycardia, SupraventricularWireless Technologyarrhythmiasclinical diagnostic testspacing and electrophysiology

Identifiers

PMID28899884
PMCPMC5612203

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.