Evidence map›Paper›PMID 32444253›Full record

ArticleAcademic radiology2020

Lung Ultrasound in COVID-19 Pneumonia: Prospects and Limitations.

Neda Khalili, Sara Haseli, Pooya Iranpour

Registry-linked trialAbstract readLetter
In one paragraph

Article in Academic radiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04689672 (Predictivity of hEmoGasAnalysis Associated to Bedside Lung UltraSound in Determining COVID-19 Severity in the Emergency Departement), which is not on this map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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.

NCT04689672 unknown statusnot on this map

Predictivity of hEmoGasAnalysis Associated to Bedside Lung UltraSound in Determining COVID-19 Severity in the Emergency Departement

TypeobservationalSponsorIRCCS San RaffaeleRan2020 to 2021Enrolled600ConditionsCovid19ArmsLung ultrasound
3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Review
  2. Efficient Lung Ultrasound Classification.Bioengineering (Basel, Switzerland) · 2023
    Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. COVID-19 Control by Computer Vision Approaches: A Survey.IEEE access : practical innovations, open solutions · 2020
    Article
  9. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Neda KhaliliSchool of Medicine, Tehran university of Medical sciences, Tehran, Iran.
Sara HaseliChronic Respiratory Diseases Research Center, National Research Institute of Tuberculosis and Lung Diseases (NRITLD), Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Pooya IranpourDepartment of Radiology, Medical Imaging Research Center, Shiraz University of Medical Sciences, Shiraz, Iran. Electronic address: Pooya.iranpour@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Identifiers

PMID32444253
PMCPMC7196391

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.