SynthesisDigestive diseases and sciences2026
Monitoring Liver and Spleen Stiffness Changes May Predict Clinical Response to Non-selective B-Blockers in Portal Hypertension: A Systematic Review and Meta-Analysis.
Synthesis in Digestive diseases and sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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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.
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Who cites it
1 citing paper in PubMed.
- Machine learning-based prediction models for liver-related events in patients with hepatitis B-related cirrhosis and clinically significant portal hypertension.World journal of gastroenterology · 2026Article
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundTreatment with non-selective b-blockers (NSBBs) is the mainstay of pharmacological management of portal hypertension (PH), but monitoring treatment response is not well standardized. Liver stiffness (LSM) and spleen stiffness measurement (SSM) changes have been used as non-invasive biomarkers of PH and are associated with disease progression and liver-related events. This systematic review examined LSM and SSM changes (ΔLSM, ΔSSM) in patients receiving NSBBs and their ability to predict treatment response.
methodsA literature search was performed to identify all published studies with patients with PH receiving NSBBs and monitoring with LSM and/or SSM. Pooled proportions, 95% confidence intervals (CI), and prediction intervals (PI) were calculated. The results of primary studies with varying diagnostic thresholds were plotted with a Summarized Receiver Operating Characteristic curve (SROC), and areas under the SROCs were compared.
resultsThe meta-analysis included eight studies and 445 patients with PH. The mean LSM percentage reduction was 12% (95%CI - 16, - 8; I
conclusionBoth LSM and SSM decrease significantly after NSBB treatment in patients with PH. However, ΔSSM appears to be superior to ΔLSM in predicting an effective treatment response.
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