Evidence map›Paper›PMID 32265036›Full record

ArticleClinical radiology2020

A British Society of Thoracic Imaging statement: considerations in designing local imaging diagnostic algorithms for the COVID-19 pandemic.

A Nair, J C L Rodrigues, S Hare, A Edey, A Devaraj, J Jacob, A Johnstone, R McStay, Erika Denton, G Robinson

Abstract readComment
In one paragraph

Article in Clinical radiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 79 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
79citing papers in PubMed, 2 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.

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

79 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Lung pneumonia severity scoring in chest X-ray images using transformers.Medical & biological engineering & computing · 2024
    Article
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  18. Expiratory CT scanning in COVID-19 patients: can we add useful data?Jornal brasileiro de pneumologia : publicacao oficial da Sociedade Brasileira de Pneumologia e Tisilogia · 2022
    Article
  19. Review
  20. Article

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

A NairDepartment of Radiology, University College London Hospital, 235 Euston Road, London, NW1 2BU, UK.
J C L RodriguesDepartment of Radiology, Royal United Hospitals Bath NHS Foundation Trust, Combe Park, Bath, BA1 3NG, UK.
S HareDepartment of Radiology, Royal Free London NHS Trust, Pond Street, London, NW3 2QJ, UK.
A EdeyDepartment of Radiology, Southmead Hospital, North Bristol NHS Trust, Southmead Road, Bristol, BS10 5NB, UK.
A DevarajDepartment of Radiology, The Royal Brompton & Harefield NHS Foundation Trust London, SW3 6NP, UK.
J JacobDepartment of Respiratory Medicine, University College London, London, NW1 2BU, UK; Centre for Medical Image Computing, University College London, London, NW1 2BU, UK.
A JohnstoneDepartment of Radiology, Leeds Teaching Hospitals NHS Trust, Leeds General Infirmary, Great George Street, Leeds, LS1 3EX, UK.
R McStayDepartment of Radiology, Freeman Hospital, Newcastle Upon Tyne Hospitals NHS Foundation Trust, Freeman Road, Newcastle Upon Tyne, NE7 7DN, UK.
Erika DentonDepartment of Radiology, Norfolk and Norwick University Hospital, Colney Lane, Norwich, NR4 7UY, UK.
G RobinsonDepartment of Radiology, Royal United Hospitals Bath NHS Foundation Trust, Combe Park, Bath, BA1 3NG, UK. Electronic address: grobinson1@nhs.net.

Funding

Wellcome Trust 209553/Z/17/Z
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

PandemicsTomography, X-Ray ComputedAlgorithmsBetacoronavirusCoronavirus InfectionsCOVID-19Pneumonia, ViralReverse Transcriptase Polymerase Chain ReactionSARS-CoV-2

Identifiers

PMID32265036
PMCPMC7128118

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.