Arrhythmias & electrophysiology
Diagnostic accuracy of electrocardiogram algorithms for differentiating left from right outflow tract ventricular arrhythmia: a systematic review and network meta-analysis
Authors' conclusion
Among existing ECG algorithms, the ‘Weighted hybrid score’ demonstrates superior diagnostic performance for differentiating LVOT from RVOT arrhythmias and is recommended for clinical application.
Study context
- Population
- Patients with outflow tract ventricular arrhythmias (OTVAs) with ablation-confirmed origin22 studies evaluating 21 ECG algorithms · RVOT 2,706 · LVOT 777
- Participants
- 3,483 patients
- Comparison
- ECG algorithms against ablation-confirmed OTVA origin
- Outcome
- Diagnostic accuracy of the 'Weighted hybrid score' algorithm (highest)
Methodological detailsBayesian diagnostic test accuracy network meta-analysis (NMA), QUADAS-2
- Bayesian diagnostic test accuracy NMA
- QUADAS-2
Pooled result
As reported in the abstract
| Group | S | DOR | Pooled sensitivity | Specificity |
|---|---|---|---|---|
| Weighted hybrid score | 21.2 (0.3, 39.0) | 275.8 (7.1, 1642.5) | 0.83 (0.53, 0.98) | 0.92 (0.68, 0.99) |
Weighted hybrid score
S21.2 (0.3, 39.0)
DOR275.8 (7.1, 1642.5)
Pooled sensitivity0.83 (0.53, 0.98)
Specificity0.92 (0.68, 0.99)
Further pooled results
Diagnostic accuracy of the 'Earliest onset or peak/nadir in lead V2' algorithm
- Lowest accuracy
Study selection
- Records
- 620
- Studies included
- 22
Original publication
Diagnostic accuracy of electrocardiogram algorithms for differentiating left from right outflow tract ventricular arrhythmia: a systematic review and network meta-analysis. Heart. Published 3 July 2025. doi:10.
Summarised from the published abstract; every number is checked against it