Evidence map›Paper›PMID 35708780›Full record

ArticleLung2022

Prone Chest Radiographs: Distinguishing Features and Identification of Support Devices.

Matthew S Lazarus, Rydhwana Hossain, Geraldine M Villasana, Allison A Herring, Kenny Ye, Jean Jeudy, Jeffrey M Levsky, Charles S White, Linda B Haramati

Open access · bronzeAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Lung, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 51% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

9 authors at 3 institutions in 1 country.

Matthew S LazarusDepartment of Radiology, Montefiore Medical Center, 111 East 210th Street, Bronx, NY, 10467, USA. mlazarus@montefiore.org.ORCID 0000-0001-5305-3518
Rydhwana HossainDepartment of Diagnostic Radiology & Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD, USA.
Geraldine M VillasanaDepartment of Radiology, Montefiore Medical Center, 111 East 210th Street, Bronx, NY, 10467, USA.
Allison A HerringDepartment of Diagnostic Radiology & Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD, USA.
Kenny YeAlbert Einstein College of Medicine, Bronx, NY, USA.
Jean JeudyDepartment of Diagnostic Radiology & Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD, USA.
Jeffrey M LevskyDepartment of Radiology, Montefiore Medical Center, 111 East 210th Street, Bronx, NY, 10467, USA.
Charles S WhiteDepartment of Diagnostic Radiology & Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD, USA.
Linda B HaramatiDepartment of Radiology, Montefiore Medical Center, 111 East 210th Street, Bronx, NY, 10467, USA.
Albert Einstein College of Medicine · USUniversity of Maryland, Baltimore · USMontefiore Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeProne position is known to improve acute lung injury, and chest radiographs are often necessary to monitor disease and confirm support device placement. However, there is a paucity of literature regarding radiographs obtained in this position. We evaluated prone radiographs for distinguishing features and ability to identify support devices.

methodsPairs of prone and supine radiographs obtained during the COVID-19 pandemic were assessed retrospectively. IRB approval and waiver of informed consent were obtained. Radiographs were assessed for imaging adequacy, distinguishing features, and support device identification (endotracheal tube, enteric tube, or central line). Radiographs were reviewed by ≥ 2 cardiothoracic radiologists.

resultsRadiographs from 81 patients (63yo ± 13, 30% women) were reviewed. Prone and supine radiographs were comparable for imaging the lung bases (81% vs. 90%, p = 0.35) and apices (93% vs. 94%, p = 1); prone radiographs more frequently had significant rotation (36% vs. 19%, p = 0.021). To identify prone technique, scapula tip located beyond the rib border was 89% sensitive (95%CI 80-95%) and 85% specific (76-92%), and a fundal stomach bubble was 44% sensitive (33-56%) and 90% specific (81-96%). For women, displaced breast shadow was 46% sensitive (26-67%) and 92% specific (73-99%). Prone and supine radiographs each identified > 99% of support devices. Prone exams trended toward increased rate of malpositioned device (12% vs. 6%, p = 0.07).

conclusionScapula position reliably distinguishes prone from supine position; fundal stomach bubble or displaced breast shadow is specific for prone position. Prone radiographs reliably identify line and tube position, which is particularly important as prone patients appear at increased risk for malpositioned devices.

Indexed as

COVID-19PandemicsFemaleHumansMalePatient PositioningProne PositionRetrospective StudiesSupine PositionChest radiographyCOVID-19Critical careProne position

Identifiers

PMID35708780
PMCPMC9201801
OpenAlexW4282972714

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.