Evidence map›Paper›PMID 41987798›Full record

ArticleFrontiers in medicine2026

Bedside lung ultrasound versus chest CT in critically ill patients: a cross-sectional diagnostic accuracy study.

Ahlem Trifi, Hounaida Galai, Asma Mehdi, Lynda Messaoud, Eya Seghir, Asma Ouhibi, Rochdi Nasri, Sami Abdellatif

Abstract read
In one paragraph

Article in Frontiers in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Ahlem TrifiMedical ICU, Teaching Hospital of la Rabta, Tunis, Tunisia.
Hounaida GalaiFaculty of Medicine, Tunis El Manar University, Tunis, Tunisia.
Asma MehdiFaculty of Medicine, Tunis El Manar University, Tunis, Tunisia.
Lynda MessaoudFaculty of Medicine, Tunis El Manar University, Tunis, Tunisia.
Eya SeghirFaculty of Medicine, Tunis El Manar University, Tunis, Tunisia.
Asma OuhibiFaculty of Medicine, Tunis El Manar University, Tunis, Tunisia.
Rochdi NasriFaculty of Medicine, Tunis El Manar University, Tunis, Tunisia.
Sami AbdellatifFaculty of Medicine, Tunis El Manar University, Tunis, Tunisia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Study aim: Evluate bedside lung ultrasound (LUS) diagnostic accuracy versus chest computed tomography (CT) in adult ICU patients with respiratory distress. Design and methods: Single-center, cross-sectional study of 200 paired LUS-CT examinations. LUS was performed within 12 h, scanning six zones per hemithorax and classifying findings into A-lines, C1 (pneumonia), C2 (atelectasis), B1, B2 (interstitial patterns), pleural effusion, and emphysema. Diagnostic performance metrics included sensitivity, specificity, predictive values, likelihood ratios, and ROC analysis. Key results: CT showed consolidations (60.5%), pleural effusions (42.5%), interstitial syndrome (28.5%), ground-glass opacities (26%), and emphysema (23.5%). LUS detected C1 in 66.5% (posterior-inferior predominance), B2 in 40.5%, B1 in 40%, pleural effusions in 38.5%, C2 in 13.5%, and emphysema in 16.5%. Overall concordance with CT was 81%. LUS had very high specificity for pleural effusion (Sp = 96.5%, PLR = 24.5, accuracy = 91.9%) and atelectasis (Sp = 93.7%, NPV = 97.6%, PLR = 12.6, accuracy = 92.3%), very high sensitivity for alveolar-interstitial syndrome (Se = 96.2%, NPV = 98.3%, NLR = 0.05), and good sensitivity for consolidations (Se = 89.3%). Conclusion: LUS is a reliable bedside tool that can reduce CT use, radiation exposure, and enable dynamic monitoring; structured training is essential.

Indexed as

acute respiratory failurechest computed tomographycritically ill patientsdiagnostic accuracylung ultrasound

Identifiers

PMID41987798
PMCPMC13076476

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.