Evidence map›Paper›PMID 32444898›Full record

ArticleEuropean journal of nuclear medicine and molecular imaging2020

Incidental SARS-CoV-2-related findings in asymptomatic patients in [

Ian Alberts, Bernd Vollnberg, Christos Sachpekidis, Clemens Mingels, Sabine Weidner, Ali Afshar-Oromieh, Axel Rominger

Abstract readLetterComment
In one paragraph

Article in European journal of nuclear medicine and molecular imaging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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.

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

10 citing papers in PubMed.

  1. Review
  2. Covid-19 imaging: A narrative review.Annals of medicine and surgery (2012) · 2021
    Review
  3. A comprehensive review of imaging findings in COVID-19 - status in early 2021.European journal of nuclear medicine and molecular imaging · 2021
    Review
  4. Imaging of COVID-19: CT, MRI, and PET.Seminars in nuclear medicine · 2021
    Review
  5. Article
  6. [European journal of nuclear medicine and molecular imaging · 2021
    Article
  7. Review
  8. COVID-19; beyond the obvious: how do we move forward?European journal of nuclear medicine and molecular imaging · 2020
    Article
  9. Revista espanola de medicina nuclear e imagen molecular
    Review
  10. [Revista espanola de medicina nuclear e imagen molecular
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Ian AlbertsDepartment of Nuclear Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland. Ian.alberts@insel.ch.ORCID 0000-0003-2095-2263
Bernd VollnbergDepartment of Nuclear Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
Christos SachpekidisDepartment of Nuclear Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
Clemens MingelsDepartment of Nuclear Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
Sabine WeidnerDepartment of Nuclear Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
Ali Afshar-OromiehDepartment of Nuclear Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
Axel RomingerDepartment of Nuclear Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Coronavirus InfectionsFluorodeoxyglucose F18PandemicsPneumonia, ViralSevere acute respiratory syndrome-related coronavirusBetacoronavirusCOVID-19HumansItalyPositron-Emission TomographyPositron Emission Tomography Computed TomographySARS-CoV-2Fluorodeoxyglucose F18

Identifiers

PMID32444898
PMCPMC7244259

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.