Evidence map›Paper›PMID 23052950›Full record

ArticleIntensive care medicine2013

Lung water assessment by lung ultrasonography in intensive care: a pilot study.

Giacomo Baldi, Luna Gargani, Antonio Abramo, Luigia D'Errico, Davide Caramella, Eugenio Picano, Francesco Giunta, Francesco Forfori

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Article in Intensive care medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 2 pooled it
7.6field-weighted citation impact, top 2% 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

49 citing papers in PubMed, 2 syntheses or guidelines pooled it, 144 citations in OpenAlex.

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  19. Effect of Machine Settings on Ultrasound Assessment of B-lines.Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine · 2020
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 1 country.

Giacomo BaldiDepartment of Surgery, University of Pisa, Via Paradisa, 2, 56100, Pisa, Italy. giacomo.baldi@gmail.com
Luna Gargani
Antonio Abramo
Luigia D'Errico
Davide Caramella
Eugenio Picano
Francesco Giunta
Francesco Forfori
University of Pisa · ITIstituto di Fisiologia Clinica · ITNational Research Council · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate the accuracy of lung ultrasonography (LUS) in the quantification of lung water in critically ill patients by using quantitative computed tomography (CT) as the gold standard for the determination of lung weight.

methodsTwenty consecutive patients admitted to an intensive care unit who underwent chest CT as a step in their clinical management were evaluated within 4 h by LUS. Lung weight, lung volume, and physical lung density were calculated from the CT scans using ad hoc software. Semiquantitative ultrasound assessment of lung water was performed by determining the ultrasound B-line score, defined as the total number of B-lines detectable in an anterolateral LUS examination.

resultsGood correlations were found between the B-line score and lung weight (r = 0.75, p < 0.05) and density (r = 0.82, p < 0.01), that only marginally increased when the lung density of the first 10 mm of subpleural lung tissue was evaluated (r = 0.83, p < 0.01). Moreover, values of subpleural lung density were not significantly different from values of the whole lung density (0.34 ± 0.11 vs. 0.37 ± 0.16 g/ml, p = ns). Very good correlations were found between the B-line score and both the weight (r = 0.85, p < 0.01) and the density (r = 0.88, p < 0.01) of the upper lobes. The weight of the lower lobes was not correlated with the B-line score (r = 0.14, p = ns).

conclusionsLung ultrasound B-lines are correlated with lung weight and density determined by CT. LUS may provide a reliable, simple and radiation-free lung densitometry in the intensive care setting.

Indexed as

AgedAged, 80 and overCritical CareDensitometryExtravascular Lung WaterFemaleHumansLungMaleMiddle AgedOrgan SizePilot ProjectsTomography, X-Ray ComputedUltrasonography

Identifiers

PMID23052950
OpenAlexW1986326104

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Registered trials

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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.