ArticleDiagnostics (Basel, Switzerland)2024
Lung Ultrasound Reproducibly Outperforms Computed Tomography in the Detection of Extravascular Lung Water in Patients Undergoing Haemodialysis.
Article in Diagnostics (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01949402 (Thoracic Ultrasonography in the Assessment of Extravascular Lung Water & Respiratory Failure), which is not on this map. Cited by 3 papers.
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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.
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.
Thoracic Ultrasonography in the Assessment of Extravascular Lung Water & Respiratory Failure
Who cites it
3 citing papers in PubMed.
- A Predictive Model Based on Cardio and Lung Ultrasound Features for Differential Diagnosis of Cardiogenic and Non-cardiogenic Dyspnea in Patients With Chronic Kidney Disease: A Single-Center Observational Study.Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine · 2026Observational
- International evidence-based recommendations for point-of-care lung ultrasound : 2025 focused update of the 2012 recommendations.Intensive care medicine · 2026Article
- Advances in thoracic ultrasound.The European respiratory journal · 2026Article
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Authors and funding
13 authors.
Funding
Abstract
backgroundLung ultrasound (LUS) is increasingly used as an extension of physical examination, informing clinical diagnosis, and decision making. There is particular interest in the assessment of patients with pulmonary congestion and extravascular lung water, although gaps remain in the evidence base underpinning this practice as a result of the limited evaluation of its inter-rater reliability and comparison with more established radiologic tests.
methods30 patients undergoing haemodialysis were prospectively recruited to an observational cohort study (NCT01949402). Patients underwent standardised LUS assessment before, during and after haemodialysis; their total LUS B-line score was generated, alongside a binary label of whether appearances were consistent with an interstitial syndrome. LUS video clips were recorded and independently scored by two blinded expert clinician sonographers. Low-dose non-contrast thoracic CT, pre- and post dialysis, was used as a "gold standard" radiologic comparison.
resultsLUS detected a progressive reduction in B-line scores in almost all patients undergoing haemodialysis, correlating with the volume of fluid removed once individuals with no or minimal B-lines upon pre-dialysis examination were discounted. When comparing CT scans pre- and post dialysis, radiologic evidence of the change in fluid status was only identified in a single patient.
conclusionsThis is the first study to demonstrate that LUS detects changes in extravascular lung water caused by changing fluid status during haemodialysis using a blinded outcome assessment and that LUS appears to be more sensitive than CT for this purpose. Further research is needed to better understand the role of LUS in this and similar patient populations, with the aim of improving clinical care and outcomes.
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