Evidence map›Paper›PMID 25056671›Full record

Trial reportIntensive care medicine2014

Semi-quantification of pneumothorax volume by lung ultrasound.

Giovanni Volpicelli, Enrico Boero, Nicola Sverzellati, Luciano Cardinale, Marco Busso, Francesco Boccuzzi, Mattia Tullio, Alessandro Lamorte, Valerio Stefanone, Giovanni Ferrari and 2 more

Abstract readClinical Trial
PubMed Publisher
In one paragraph

Trial report in Intensive care medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 1 pooled it
5.1field-weighted citation impact, top 4% 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

46 citing papers in PubMed, 1 synthesis or guideline pooled it, 136 citations in OpenAlex.

  1. Recommendations for Lung Ultrasound in Internal Medicine.Diagnostics (Basel, Switzerland) · 2020
    Guideline
  2. Trial
  3. Article
  4. Pneumothorax and Hemothorax: Practical Approaches for Radiologists.Journal of the Korean Society of Radiology · 2026
    Review
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Imaging of pleural disease.Breathe (Sheffield, England) · 2024
    Review
  11. Review
  12. Article
  13. Thoracic ultrasound: a review of the state-of-the-art.Jornal brasileiro de pneumologia : publicacao oficial da Sociedade Brasileira de Pneumologia e Tisilogia · 2024
    Review
  14. Article
  15. Review
  16. Review
  17. The Incremental Role of Multiorgan Point-of-Care Ultrasounds in the Emergency Setting.International journal of environmental research and public health · 2023
    Review
  18. Lung Sonography in Critical Care Medicine.Diagnostics (Basel, Switzerland) · 2022
    Review
  19. Overview of Lung Ultrasound in Pediatric Cardiology.Diagnostics (Basel, Switzerland) · 2022
    Review
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 3 institutions in 1 country.

Giovanni VolpicelliDepartment of Emergency Medicine, San Luigi Gonzaga University Hospital, Orbassano, Turin, Italy, gio.volpicelli@tin.it.
Enrico Boero
Nicola Sverzellati
Luciano Cardinale
Marco Busso
Francesco Boccuzzi
Mattia Tullio
Alessandro Lamorte
Valerio Stefanone
Giovanni Ferrari
Andrea Veltri
Mauro F Frascisco
Ospedale San Luigi Gonzaga · ITOspedale San Giovanni Bosco · ITUniversity of Parma · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLung ultrasound (LUS) may accurately diagnose pneumothorax. However, there is uncertainty about its usefulness in the quantification of pneumothorax size. To determine the ability of LUS in the semi-quantification of pneumothorax volume, we compared the projection of the lung point (LP) with the pneumothorax volume measured by computerized tomography (CT) and the interpleural distance on chest radiography (CXR).

methodsWe performed LUS in patients with pneumothorax and all the LP located on the chest wall were compared to CXR and CT studies. The primary outcome of the study was the ability of LP to grade pneumothorax volumes measured by CT. The secondary outcome was the accuracy of LP to predict small and large pneumothorax according to the societal guidelines based on CXR reading.

resultsA total of 124 patients with pneumothorax were enrolled (76 spontaneous, 20 traumatic and 28 post-procedural). Ninety-four CXR and 58 CT were available for the analysis. An LP posterior to the mid axillary line corresponded to three different CXR criteria for large pneumothorax with sensitivity from 81.4 to 88.2 % and specificity from 64.7 to 72.6 %. The mid axillary line also represented the limit for predicting greater than 15 % of lung collapse when volume is measured at CT, with sensitivity 83.3 % and specificity 82.4 %.

conclusionsLUS-targeted assessment of LP was a useful predictor of pneumothorax volume in this research study setting. LUS reliably classified pneumothorax size when compared to criteria based on CXR reading, particularly the small sized pneumothorax. However, LUS greatly outperformed conventional CXR reading for a graded quantification of the percentage of lung collapse.

Indexed as

LungAdolescentAdultAgedAged, 80 and overFemaleHumansItalyMaleMiddle AgedPneumothoraxPoint-of-Care SystemsProspective StudiesROC CurveThoracic WallTomography, X-Ray Computed

Identifiers

PMID25056671
OpenAlexW2022069625

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.