ArticleInternal and emergency medicine2026
Echocardiographic prediction of functional coronary stenosis: global longitudinal strain as a key determinant of quantitative flow ratio.
Article in Internal and emergency medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Global, regional, and national burden of chronic obstructive pulmonary disease and asthma from 1990 to present: risk attributions and projections to 2050.Internal and emergency medicine · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo evaluate the independent and combined value of global longitudinal strain (GLS) and global work efficiency (GWE) for predicting quantitative flow ratio (QFR) in patients with ischemic heart disease (IHD).
methodsIn a prospective study of 222 patients with stable IHD, all participants underwent coronary angiography with QFR analysis and comprehensive 2D speckle-tracking echocardiography. LASSO regression for variable selection, multivariable logistic regression for association analysis, restricted cubic splines for non-linearity assessment, and SHAP analysis for model interpretation were employed.
resultsPatients with normal QFR (≥ 0.80) showed significantly better GLS (-17.84 ± 2.34% vs -14.47 ± 2.65%, P < 0.01) and GWE (94.00[91.00-95.00]% vs 91.00[88.00-93.00]%, P < 0.01) compared to those with abnormal QFR. LASSO regression identified both GLS (OR = 2.45, 95%CI 1.82-3.30) and GWE (OR = 1.31, 95%CI 1.15-1.50) as remaining independently associated with normal QFR after full adjustment. Both relationships demonstrated significant non-linearity (P < 0.05). GLS alone showed excellent diagnostic accuracy (AUC = 0.862), while adding GWE provided only marginal improvement (AUC = 0.872, P = 0.15). SHAP analysis confirmed GLS as the most important predictor, with good model generalizability (AUC = 0.838) upon validation.
conclusionGLS is a powerful independent predictor of coronary hemodynamics assessed by QFR in IHD patients. Although GWE shows an independent association, its incremental value beyond GLS is limited, establishing GLS as the primary echocardiographic parameter for non-invasive stratification of functionally significant coronary artery disease.
Indexed as
Identifiers
42033531What 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.