Evidence map›Paper›PMID 33204143›Full record

ArticleInternational journal of general medicine2020

Park Algorithm as Predictor of Premature Ventricular Contraction Origin in Three-Dimensional Mapping Electrophysiological Studies.

Muzakkir Amir, Idar Mappangara, Peter Kabo, Zulkifli Hasanuddin, Robertus Setiadji, Sitti Multa Zam

Abstract read
In one paragraph

Article in International journal of general medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Muzakkir AmirDepartment of Cardiology and Vascular Medicine, Faculty of Medicine, Hasanuddin University, Makassar, South Sulawesi, Indonesia.
Idar MappangaraDepartment of Cardiology and Vascular Medicine, Faculty of Medicine, Hasanuddin University, Makassar, South Sulawesi, Indonesia.
Peter KaboDepartment of Cardiology and Vascular Medicine, Faculty of Medicine, Hasanuddin University, Makassar, South Sulawesi, Indonesia.
Zulkifli HasanuddinDepartment of Cardiology and Vascular Medicine, Faculty of Medicine, Hasanuddin University, Makassar, South Sulawesi, Indonesia.
Robertus SetiadjiDepartment of Pharmacology, Faculty of Medicine, Hasanuddin University, Makassar, South Sulawesi, Indonesia.
Sitti Multa ZamDepartment of Cardiology and Vascular Medicine, Faculty of Medicine, Hasanuddin University, Makassar, South Sulawesi, Indonesia.ORCID 0000-0001-7294-1457

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeIn the past few years, premature ventricular contraction (PVC) has attracted immense attention, both in patients with or without structural heart disease. Despite the technological advancement, no guiding tools are currently available to assist in the prediction of origin of PVC using a 12-lead electrocardiogram (ECG) before electrophysiology and ablation procedures. Park and co-workers compiled the existing algorithms for the morphology of ECG from the literature and generated a single algorithm based on specific features of ECG for the prediction of PVC origin. The Park algorithm is limited to idiopathic PVC and has not been evaluated clinically. In the present study, the Park algorithm was used to predict PVC origin in patients with or without structural heart disease and compared with the gold standard examination based on three-dimensional electrophysiological mapping studies. PATIENTS AND

methodsA cross-sectional study employing ECG data and electrophysiology study (EPS) reports from patients' medical records at Integrated Heart Center Wahidin Sudirohusodo Hospital, Makassar, Indonesia was conducted. The study was performed from April 2018 to June 2019 with a total of 31 samples; however, four samples were excluded during the EPS.

resultsIn the present study, the incidence of structural heart disease was 45.2%. The suitability of the Park algorithm for electrophysiological evaluation was 85.2%, both in the case of PVC with and/or without structural heart disease. The prediction of the origin of PVC in the right or left heart using the Park algorithm showed a sensitivity of 95%, specificity of 100%, positive predictive value of 100%, negative predictive value of 87.5%, and accuracy of 96%.

conclusionThe findings of the study suggest significant accuracy of the Park algorithm in the prediction of location of origin of PVC. High sensitivity, specificity, positive predictive value, negative predictive value, and accuracy of the Park algorithm highlight its suitability to be used for determining the location of PVC origin in the right or left heart.

Indexed as

ablation therapyarrhythmiaECGpremature ventricular contractionstructural heart disease

Identifiers

PMID33204143
PMCPMC7667178

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.