Evidence map›Paper›PMID 40809254›Full record

ArticleJournal of thoracic disease2025

Lung ultrasound as a diagnostic tool for pulmonary consolidation and atelectasis after cardiac surgery.

Dabing Huang, Zhitao Li, Jianfeng Zhao, Hui Li, Wei Wang, Shuiqiao Fu

Abstract read
In one paragraph

Article in Journal of thoracic disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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.

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

2 citing papers in PubMed.

  1. Trial
  2. 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

6 authors.

Dabing Huang *Department of Surgical Intensive Care Unit, the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Zhitao Li *Department of Surgical Intensive Care Unit, the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Jianfeng ZhaoDepartment of Surgical Intensive Care Unit, the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Hui LiDepartment of Surgical Intensive Care Unit, the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Wei WangDepartment of Surgical Intensive Care Unit, the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Shuiqiao FuDepartment of Surgical Intensive Care Unit, the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Pulmonary consolidation and atelectasis (PCA) are common complications following cardiac surgery, significantly impacting patient prognosis. This study aims to explore the diagnostic and prognostic applications of lung ultrasound (LUS) for PCA. Methods: This study enrolled patients undergoing cardiac surgery who received LUS, chest X-ray (CXR), and chest computed tomography (CT) within 24 hours postoperatively. Using CT as the gold standard for PCA diagnosis, we evaluated the diagnostic accuracy of LUS and CXR. Additionally, we analyzed the correlation between the lung ultrasound score (LUSS), quantitative lung ventilation parameters, and clinical outcomes. Results: Among 66 patients, 60 were diagnosed with PCA by CT. LUS demonstrated superior diagnostic accuracy compared to CXR [the area under the curve (AUC) =0.808 Conclusions: LUS exhibits higher diagnostic accuracy for PCA compared to CXR. While LUSS correlates with ICU stay, it does not influence the duration of mechanical ventilation or total hospital stay.

Indexed as

computed tomographyintensive care unitLung ultrasound (LUS)lung ultrasound score (LUSS)pulmonary consolidation and atelectasis (PCA)

Identifiers

PMID40809254
PMCPMC12340282

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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.