ArticleAmerican heart journal plus : cardiology research and practice2021
Liver stiffness as measured by transient elastography is a predictor of outcomes in patients with chronic heart failure with reduced, mid-range, and recovered left-ventricular ejection fraction.
Article in American heart journal plus : cardiology research and practice, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled 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.
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
3 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.
- Prognostic value of liver stiffness in patients with heart failure: a systematic review and meta-analysis.BMC cardiovascular disorders · 2025Pooled it
- The Pivotal Role of Presepsin in Assessing Sepsis-Induced Cholestasis.Diagnostics (Basel, Switzerland) · 2024Article
- The Liver in Heart Failure: From Biomarkers to Clinical Risk.International journal of molecular sciences · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Transient elastography is a noninvasive method for assessing liver stiffness (LS), which can reflect right-sided filling pressure associated with passive liver congestion in patients with HF. Methods: A prospective, single-center observational study in which LS was measured in consecutive ambulatory patients with heart failure with reduced, mid-range, and recovered left ventricular ejection fraction, between March 2018 and June 2019. Mean follow up was 219 ± 86 days. The primary endpoint was time to first event, which was defined as a composite of cardiovascular death or HF hospitalization. Results: Eighty-five patients were included in the final analysis. Mean age was 62 ± 10 and 68% were male. Mean ejection fraction and median NT-proBNP were, respectively, 38.7 ± 14.3% and 1140 pg/mL (interquartile range 224.3-2810.3). The median LS for the entire population was 6.3 (2.5-41.2) kPa. LS correlated with NT-proBNP (r = 0.46; p < 0.0001), total bilirubin (r = 0.47; p < 0.001), direct bilirubin (r = 0.43; p = 0.0001), gama-glutamyl-transpeptidase (r = 0.54; p < 0.0001), and alkaline phosphatase (r = 0.39; p = 0.0004). A Receiver Operating Characteristic (ROC) curve was performed and a cut point of 5.9 kPa showed sensitivity of 80% and specificity of 64.1% with area under the curve of 0.73. Using Cox proportional hazard model (independent variables: LS as a continuous variable, age, gender, NT-proBNP, LVEF, and creatinine), only LS was independently associated with the primary endpoint (hazard ratio 1.05, 95% confidence interval 1.01-1.09; for each increment of one unit of LS). Conclusion: LS correlates with biomarkers of myocardial stretch and several liver function tests and is an independent predictor of outcomes in ambulatory patients with HF.
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.