ArticleCardiovascular ultrasound2025
Relationship between electrocardiographic characteristics and subclinical left ventricular systolic dysfunction in isolated left bundle branch block patients.
Article in Cardiovascular ultrasound, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed.
- Detection and prognostic stratification of left ventricular systolic dysfunction in left bundle branch block using an artificial intelligence-enabled electrocardiography.Journal of cardiovascular imaging · 2026Article
- Subclinical myocardial dysfunction detected by speckletracking in asymptomatic individuals with exerciseinduced premature ventricular complexes.Cardiovascular ultrasound · 2025Observational
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
backgroundEarly identification of subclinical left ventricular (LV) systolic dysfunction (LVSD) in patients with isolated left bundle branch block (LBBB) and preserved LV ejection fraction (LVEF), termed LBBB
methodsThe study included 111 patients with LBBB
resultsAmong the patients, 52 exhibited subclinical LVSD. Compared with those with normal LV systolic function, patients with subclinical LVSD had longer QRS durations, a higher frequency of QS patterns, and more instances of discordant LBBB. A QRS duration of 153 ms was identified as the optimal cut-off for detecting subclinical LVSD, with a sensitivity of 75.00% and specificity of 72.88%. The combination of QRS duration, the presence of QS patterns, and discordant LBBB produced the highest area under the curve of 0.82. Incorporating the presence of QS patterns and discordant LBBB into the QRS duration model increased the integrated discriminant index from 0.07 to 0.15.
conclusionsQRS duration, the presence of QS patterns, and discordant LBBB are independent predictors of subclinical LVSD in patients with LBBB
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.