Evidence map›Paper›PMID 36498700›Full record

ArticleJournal of clinical medicine2022

Thoracic UltrasONOgraphy Reporting: The TUONO Study.

Italo Calamai, Massimiliano Greco, Stefano Finazzi, Marzia Savi, Gaia Vitiello, Elena Garbero, Rosario Spina, Andrea Montisci, Silvia Mongodi, Guido Bertolini and 1 more

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 33% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Thoracic UltrasONOgraphy Reporting: The TUONO Consensus.Diagnostics (Basel, Switzerland) · 2023
    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

11 authors at 4 institutions in 1 country.

Italo CalamaiAnesthesia and Intensive Care Unit AUsl Toscana Centro, Ospedale San Giuseppe, Viale Boccaccio 16/20, 50053 Empoli, Italy.ORCID 0000-0001-9410-1053
Massimiliano GrecoDepartment of Biomedical Sciences, Humanitas University, 20090 Milan, Italy.ORCID 0000-0003-1003-4637
Stefano FinazziLaboratory of Clinical Data Science, Mario Negri Institute of Pharmacological Research IRCCS, 24020 Ranica, Italy.ORCID 0000-0002-3525-3249
Marzia SaviDepartment of Biomedical Sciences, Humanitas University, 20090 Milan, Italy.ORCID 0000-0001-7235-6215
Gaia VitielloLaboratory of Clinical Data Science, Mario Negri Institute of Pharmacological Research IRCCS, 24020 Ranica, Italy.
Elena GarberoLaboratory of Clinical Data Science, Mario Negri Institute of Pharmacological Research IRCCS, 24020 Ranica, Italy.
Rosario SpinaAnesthesia and Intensive Care Unit AUsl Toscana Centro, Ospedale San Giuseppe, Viale Boccaccio 16/20, 50053 Empoli, Italy.
Andrea MontisciDivision of Cardiothoracic Intensive Care, Cardiothoracic Department, ASST Spedali Civili, 25121 Brescia, Italy.ORCID 0000-0003-3150-399X
Silvia MongodiAnaesthesia and Intensive Care, San Matteo Hospital, 27100 Pavia, Italy.
Guido BertoliniLaboratory of Clinical Epidemiology, Mario Negri Institute of Pharmacological Research IRCCS, 24020 Ranica, Italy.ORCID 0000-0002-3101-4259
TUONO study investigators
Mario Negri Institute for Pharmacological Research · ITHumanitas University · ITOspedale San Giuseppe · ITAzienda Socio Sanitaria Territoriale degli Spedali Civili di Brescia · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung ultrasound (LUS) is a validated technique for the prompt diagnosis and bedside monitoring of critically ill patients due to its availability, safety profile, and cost-effectiveness. The aim of this work is to detect similarities and differences among LUS reports performed in ICUs and to provide a common ground for an integrated report form. We collected all LUS reports during an index week in 21 ICUs from the GiViTI network. First, we considered signs, chest areas, and terminology reported. Then, we compared different report structures and categorized them as structured reports (SRs), provided with a predefined model form, and free unstructured text reports (FTRs) that had no predetermined structure. We analyzed 171 reports from 21 ICUs, and 59 reports from 5 ICUs were structured. All the reports presented a qualitative description that mainly focused on the presence of B-lines, consolidations, and pleural effusion. Zones were defined in 66 reports (39%). In SRs, a complete examination of all the regions was more frequently achieved (96% vs. 74%), and a higher impact on therapeutic strategies was observed (17% vs. 6%). LUS reports vary significantly among different centers. Adopting an integrated SR seems to promote a systematic approach in scanning and reporting, with a potential impact on LUS clinical applications.

Indexed as

critical carelungpoint-of-caresurveys and questionnairesultrasound

Identifiers

PMID36498700
PMCPMC9739733
OpenAlexW4310397702

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.