Evidence map›Paper›PMID 33568367›Full record

ArticleBMJ open2021

Point-of-care ultrasonography for risk stratification of non-critical COVID-19 patients on admission (POCUSCO): a study protocol of an international study.

François Morin, Delphine Douillet, Jean-Francois Hamel, Josué Rakotonjanahary, Florence Dupriez, Dominique Savary, Christophe Aubé, Jeremie Riou, Vincent Dubée, Pierre-Marie Roy

Registry-linked trialAbstract readClinical Trial Protocol
In one paragraph

Article in BMJ open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04338100 (Point Of Care UltraSonography to Perform Risk-stratification of Patients With Suspected or Confirmed COVID-19 - POCUSCO Study), which is not on this map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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.

NCT04338100 completednot on this map

Point Of Care UltraSonography to Perform Risk-stratification of Patients With Suspected or Confirmed COVID-19 - POCUSCO Study

TypeobservationalSponsorUniversity Hospital, AngersRan2020 to 2020Enrolled307ConditionsCOVID, Coronavirus InfectionArmsFollow-up at 14 days
3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. 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

10 authors.

François MorinDepartment of Emergency Medicine, University Hospital of Angers, Univ Angers, Angers, France Francois.Morin@chu-angers.fr.ORCID 0000-0002-1582-2934
Delphine DouilletDepartment of Emergency Medicine, University Hospital of Angers, Univ Angers, Angers, France.
Jean-Francois HamelDepartment of Methodology and Biostatistics, University Hospital of Angers, Univ Angers, Angers, France.
Josué RakotonjanaharyDepartment of Pediatric Oncology, University Hospital of Angers, Univ Angers, Angers, France.
Florence DupriezDepartment of Emergency Medicine, Cliniques Universitaires Saint-Luc, Brussels, Belgium.
Dominique SavaryDepartment of Emergency Medicine, University Hospital of Angers, Univ Angers, Angers, France.
Christophe AubéDepartment of Radiology, University Hospital of Angers, Univ Angers, Angers, France.
Jeremie RiouDepartment of Methodology and Biostatistics, University Hospital of Angers, Univ Angers, Angers, France.
Vincent DubéeInfectious Diseases and Tropical Medicine, University Hospital of Angers, Univ Angers, Angers, France.ORCID 0000-0002-9982-4741
Pierre-Marie RoyDepartment of Emergency Medicine, University Hospital of Angers, Univ Angers, Angers, France.ORCID 0000-0003-4811-6793

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionIn the context of the COVID-19 pandemic, early identification of patients who are likely to get worse is a major concern. Severity mainly depends on the development of acute respiratory distress syndrome (ARDS) with a predominance of subpleural lesions. Lung point-of-care ultrasonography (L-POCUS) is highly effective in detecting pulmonary peripheral patterns and may be appropriate for examining patients with COVID-19. We suggest that L-POCUS performed during the initial examination may identify patients with COVID-19 who are at a high risk of complicated treatment or unfavourable evolution. METHODS AND ANALYSIS: Point-of-care ultrasonography for risk stratification of non-critical COVID-19 patients on admission is a prospective, multicentre study. Adult patients visiting the emergency department (ED) of participating centres for suspected or confirmed COVID-19 are assessed for inclusion. Included patients have L-POCUS performed within 48 hours following ED admission. The severity of lung damage is assessed using the L-POCUS score based on 36 points for ARDS. Apart from the L-POCUS score assessment, patients are treated as recommended by the WHO. For hospitalised patients, a second L-POCUS is performed at day 5±3. A follow-up is carried out on day 14, and the patient's status according to the Ordinal Scale for Clinical Improvement for COVID-19 from the WHO is recorded.The primary outcome is the rate of patients requiring intubation or who are dead from any cause during the 14 days following inclusion. We will determine the area under the ROC curve of L-POCUS. ETHICS AND DISSEMINATION: The protocol has been approved by the French and Belgian Ethics Committees and is carried out in accordance with the Declaration of Helsinki and Good Clinical Practice guidelines. The study is funding by a grant from the French Health Ministry, and its findings will be disseminated in peer-reviewed journals and at scientific conferences. TRIAL REGISTRATION NUMBER: NCT04338100.

Indexed as

Point-of-Care SystemsRisk AssessmentUltrasonographyAdolescentCOVID-19Emergency Service, HospitalHumansMulticenter Studies as TopicPandemicsPatient AdmissionProspective Studiesaccident & emergency medicinerespiratory infectionsultrasonographyvirology

Identifiers

PMID33568367
PMCPMC7878051

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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.