Evidence map›Paper›PMID 28244009›Full record

ReviewCritical ultrasound journal2017

Systematic review and meta-analysis for the use of ultrasound versus radiology in diagnosing of pneumonia.

Saeed Ali Alzahrani, Majid Abdulatief Al-Salamah, Wedad Hussain Al-Madani, Mahmoud A Elbarbary

Registry-linked trialAbstract readReview
In one paragraph

Review in Critical ultrasound journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04645030 (The Value of Ultralow Dosis CT and Ultrasound in the Diagnosing of Pneumonia in the Emergency Department), which is not on this map. Cited by 65 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
65citing papers in PubMed, 5 pooled it
–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.

NCT04645030 completednot on this mapstarted 2021, after this paper: background citation

The Value of Ultralow Dosis CT and Ultrasound in the Diagnosing of Pneumonia in the Emergency Department

TypeobservationalSponsorUniversity of Southern DenmarkRan2021 to 2022Enrolled411ConditionsRespiratory Tract InfectionsArmsUltra low-dose computer thermography, lung ultrasound
3 · Its place in the literature

Who cites it

65 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
  2. Point-of-care lung ultrasound in detecting pneumonia: A systematic review.Canadian journal of respiratory therapy : CJRT = Revue canadienne de la therapie respiratoire : RCTR · 2024
    Pooled it
  3. Pooled it
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  5. Pooled it
  6. Review
  7. Entropy removal of clinical features.Scientific reports · 2025
    Article
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  10. Patient radiation safety in the intensive care unit.The British journal of radiology · 2025
    Review
  11. Article
  12. Article
  13. Observational
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  15. Review
  16. Review
  17. Guidelines for Antibiotics Prescription in Critically Ill Patients.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2024
    Article
  18. Article
  19. Article
  20. Article

5 more citing papers are in PubMed but not listed here.

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

4 authors.

Saeed Ali AlzahraniKing Saud bin Abdulaziz University for Health Sciences, Riyadh, Kingdom of Saudi Arabia.
Majid Abdulatief Al-SalamahEmergency Medicine, College of Public Health and Health Informatics, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Kingdom of Saudi Arabia.
Wedad Hussain Al-MadaniNational & Gulf Center for Evidence Based Health Practice (NGCEBHP), King Saud bin Abdulaziz University for Health Sciences (KSAUHS), Riyadh, Kingdom of Saudi Arabia.
Mahmoud A ElbarbaryKSAUHS, Ministry of National Guard-Health Affairs, King Abdullah International Medical Research Center, Riyadh, Kingdom of Saudi Arabia. barbarym@ngha.med.sa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPhysicians are increasingly using point of care lung ultrasound (LUS) for diagnosing pneumonia, especially in critical situations as it represents relatively easy and immediately available tool. They also used it in many associated pathological conditions such as consolidation, pleural effusion, and interstitial syndrome with some reports of more accuracy than chest X-ray. This systematic review and meta-analysis are aimed to estimate the pooled diagnostic accuracy of ultrasound for the diagnosis of pneumonia versus the standard chest radiological imaging. METHODS AND MAIN

resultsA systematic literature search was conducted for all published studies comparing the diagnostic accuracy of LUS against a reference Chest radiological exam (C X-ray or Chest computed Tomography CT scan), combined with clinical criteria for pneumonia in all age groups. Eligible studies were required to have a Chest X-ray and/or CT scan at the time of clinical evaluation. The authors extracted qualitative and quantitative information from eligible studies, and calculated pooled sensitivity and specificity and pooled positive/negative likelihood ratios (LR). Twenty studies containing 2513 subjects were included in this meta-analysis. The pooled estimates for lung ultrasound in the diagnosis of pneumonia were, respectively, as follows: Overall pooled sensitivity and specificity for diagnosis of pneumonia by lung ultrasound were 0.85 (0.84-0.87) and 0.93 (0.92-0.95), respectively. Overall pooled positive and negative LRs were 11.05 (3.76-32.50) and 0.08 (0.04-0.15), pooled diagnostic Odds ratio was 173.64 (38.79-777.35), and area under the pooled ROC (AUC for SROC) was 0.978.

conclusionPoint of care lung ultrasound is an accurate tool for the diagnosis of pneumonia. Considering being easy, readily availability, low cost, and free from radiological hazards, it can be considered as important diagnostic strategy in this condition.

Indexed as

PneumoniaPoint of care, lung, interstitial syndrome, and diagnosisSystematic review, Ultrasound

Identifiers

PMID28244009
PMCPMC5328906

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Registered trials

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.