Evidence map›Paper›PMID 35750468›Full record

ArticleArchives of disease in childhood. Fetal and neonatal edition2023

Lung ultrasound of the dependent lung detects real-time changes in lung volume in the preterm lamb.

Arun Sett, Kelly R Kenna, Rebecca J Sutton, Elizabeth J Perkins, Magdy Sourial, Jack D Chapman, Susan M Donath, Arun Sasi, Sheryle R Rogerson, Brett J Manley and 3 more

Open access · hybridAbstract read
In one paragraph

Article in Archives of disease in childhood. Fetal and neonatal edition, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.2field-weighted citation impact, top 12% of its field
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 15 citations in OpenAlex.

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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 at 4 institutions in 1 country.

Arun SettNeonatal Research, Murdoch Children's Research Institute, Melbourne, Victoria, Australia arun.sett@mcri.edu.au.ORCID http://orcid.org/0000-0001-7075-5829
Kelly R KennaNeonatal Research, Murdoch Children's Research Institute, Melbourne, Victoria, Australia.
Rebecca J SuttonNeonatal Research, Murdoch Children's Research Institute, Melbourne, Victoria, Australia.
Elizabeth J PerkinsNeonatal Research, Murdoch Children's Research Institute, Melbourne, Victoria, Australia.
Magdy SourialTranslational Research Unit, Murdoch Children's Research Institute, Melbourne, Victoria, Australia.
Jack D ChapmanNeonatal Research, Murdoch Children's Research Institute, Melbourne, Victoria, Australia.
Susan M DonathNeonatal Research, Murdoch Children's Research Institute, Melbourne, Victoria, Australia.
Arun SasiPaediatric Infant Perinatal Emergency Retrieval, The Royal Children's Hospital, Melbourne, Victoria, Australia.
Sheryle R RogersonNewborn Research Centre, The Royal Women's Hospital, Melbourne, Victoria, Australia.ORCID http://orcid.org/0000-0001-7829-5409
Brett J ManleyNeonatal Research, Murdoch Children's Research Institute, Melbourne, Victoria, Australia.ORCID http://orcid.org/0000-0003-0212-7956
Peter G DavisNeonatal Research, Murdoch Children's Research Institute, Melbourne, Victoria, Australia.ORCID http://orcid.org/0000-0001-6742-7314
Prue M Pereira-FantiniNeonatal Research, Murdoch Children's Research Institute, Melbourne, Victoria, Australia.
David G TingayNeonatal Research, Murdoch Children's Research Institute, Melbourne, Victoria, Australia.ORCID http://orcid.org/0000-0003-1522-4691
Murdoch Children's Research Institute · AURoyal Children's Hospital · AUThe University of Melbourne · AURoyal Women's Hospital · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEffective lung protective ventilation requires reliable, real-time estimation of lung volume at the bedside. Neonatal clinicians lack a readily available imaging tool for this purpose.

objectiveTo determine the ability of lung ultrasound (LUS) of the dependent region to detect real-time changes in lung volume, identify opening and closing pressures of the lung, and detect pulmonary hysteresis.

methodsLUS was performed on preterm lambs (n=20) during in vivo mapping of the pressure-volume relationship of the respiratory system using the super-syringe method. Electrical impedance tomography was used to derive regional lung volumes. Images were blindly graded using an expanded scoring system. The scores were compared with total and regional lung volumes, and differences in LUS scores between pressure increments were calculated.

resultsChanges in LUS scores correlated moderately with changes in total lung volume (r=0.56, 95% CI 0.47-0.64, p<0.0001) and fairly with right whole (r=0.41, CI 0.30-0.51, p<0.0001), ventral (r=0.39, CI 0.28-0.49, p<0.0001), central (r=0.41, CI 0.31-0.52, p<0.0001) and dorsal (r=0.38, CI 0.27-0.49, p<0.0001) regional lung volumes. The pressure-volume relationship of the lung exhibited hysteresis in all lambs. LUS was able to detect hysteresis in 17 (85%) lambs. The greatest changes in LUS scores occurred at the opening and closing pressures.

conclusionLUS was able to detect large changes in total and regional lung volume in real time and correctly identified opening and closing pressures but lacked the precision to detect small changes in lung volume. Further work is needed to improve precision prior to translation to clinical practice.

Indexed as

LungThoraxAnimalsLung Volume MeasurementsSheepUltrasonographyNeonatologyRespiratory Medicine

Identifiers

PMID35750468
PMCPMC9763221
OpenAlexW4283379122

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

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.