Evidence map›Paper›PMID 38535011›Full record

ArticleDiagnostics (Basel, Switzerland)2024

Lung Ultrasound Reproducibly Outperforms Computed Tomography in the Detection of Extravascular Lung Water in Patients Undergoing Haemodialysis.

John P Corcoran, Mark Hew, Ben Attwood, Murali Shyamsundar, Sheera Sutherland, Kristine Ventura, Rachel Benamore, Victoria St Noble, Hania E Piotrowska, Christopher W Pugh and 3 more

Registry-linked trialAbstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

NCT01949402 completednot on this map

Thoracic Ultrasonography in the Assessment of Extravascular Lung Water & Respiratory Failure

Typeobservational_patient_registrySponsorUniversity of OxfordRan2014 to 2016Enrolled86ConditionsRespiratory Failure, Acute DyspnoeaArmsComputed Tomography, Thoracic ultrasound, Spirometry, Blood tests
3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Observational
  2. Article
  3. Advances in thoracic ultrasound.The European respiratory journal · 2026
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

John P CorcoranOxford Centre for Respiratory Medicine, Oxford University Hospitals NHS Foundation Trust, Oxford OX3 9DU, UK.
Mark HewAllergy, Asthma & Clinical Immunology, The Alfred Hospital, Melbourne, VIC 3004, Australia.
Ben AttwoodDepartment of Anaesthesia and Intensive Care, South Warwickshire NHS Foundation Trust, Warwick CV34 5BW, UK.ORCID 0000-0002-1843-0143
Murali ShyamsundarWellcome Wolfson Institute for Experimental Medicine, Queen's University Belfast, Belfast BT7 1NN, UK.
Sheera SutherlandOxford Kidney Unit, Oxford University Hospitals NHS Foundation Trust, Oxford OX3 9DU, UK.
Kristine VenturaOxford Kidney Unit, Oxford University Hospitals NHS Foundation Trust, Oxford OX3 9DU, UK.
Rachel BenamoreDepartment of Radiology, Oxford University Hospitals NHS Foundation Trust, Oxford OX3 9DU, UK.
Victoria St NobleDepartment of Radiology, Oxford University Hospitals NHS Foundation Trust, Oxford OX3 9DU, UK.
Hania E PiotrowskaOxford Respiratory Trials Unit, University of Oxford, Oxford OX3 7LE, UK.
Christopher W PughOxford Kidney Unit, Oxford University Hospitals NHS Foundation Trust, Oxford OX3 9DU, UK.ORCID 0000-0002-5170-1662
Christian B LaursenDepartment of Respiratory Medicine, Odense University Hospital, 5000 Odense, Denmark.
Fergus V GleesonDepartment of Radiology, Oxford University Hospitals NHS Foundation Trust, Oxford OX3 9DU, UK.
Najib M RahmanOxford Centre for Respiratory Medicine, Oxford University Hospitals NHS Foundation Trust, Oxford OX3 9DU, UK.ORCID 0000-0003-1195-1680

Funding

Esaote UK N/ARosetrees Trust M412
6 · The paper itself

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.

Indexed as

extravascular lung waterinterstitial syndromelung ultrasound

Identifiers

PMID38535011
PMCPMC10969609

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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.