Evidence map›Paper›PMID 32788946›Full record

ArticleRadiology case reports2020

18-FDG PSEUDOTUMORAL LESION WITH QUICK FLOWERING TO A TYPICAL LUNG CT COVID-19.

Olivier de Barry, Dominique Cabral, Jean Emmanuel Kahn, François Vidal, Robert-Yves Carlier, Mostafa El Hajjam

Abstract readCase Reports
PubMed Full text at PMC Publisher
In one paragraph

Article in Radiology case reports, 2020. 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
–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

4 citing papers in PubMed.

  1. FcFrontiers in cardiovascular medicine · 2023
    Review
  2. Article
  3. Pulmonary Findings of [Pathogens (Basel, Switzerland) · 2021
    Article
  4. Inflammatory response in lungs and extrapulmonary sites detected by [European journal of nuclear medicine and molecular imaging · 2021
    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

6 authors.

Olivier de BarryDMU Smart Imaging, Medical Imaging department. Assistance Publique-Hôpitaux de Paris, GH Université Paris-Saclay. Ambroise Paré Teaching Hospital, 92100 Boulogne-Billancourt, France.
Dominique CabralDMU Smart Imaging, Medical Imaging department. Assistance Publique-Hôpitaux de Paris, GH Université Paris-Saclay. Ambroise Paré Teaching Hospital, 92100 Boulogne-Billancourt, France.
Jean Emmanuel KahnInternal medicine department. Assistance Publique-Hôpitaux de Paris, GH Université Paris-Saclay. Ambroise Paré Teaching Hospital, 92100 Boulogne-Billancourt, France.
François VidalRheumatology department. Assistance Publique-Hôpitaux de Paris, GH Université Paris-Saclay. Ambroise Paré Teaching Hospital, 92100 Boulogne-Billancourt, France.
Robert-Yves CarlierDMU Smart Imaging, Medical Imaging department. Assistance Publique-Hôpitaux de Paris, GH Université Paris-Saclay. Ambroise Paré Teaching Hospital, 92100 Boulogne-Billancourt, France.
Mostafa El HajjamDMU Smart Imaging, Medical Imaging department. Assistance Publique-Hôpitaux de Paris, GH Université Paris-Saclay. Ambroise Paré Teaching Hospital, 92100 Boulogne-Billancourt, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As coronavirus pandemic continues to spread over the world, physicians have to be aware of atypical features of COVID-19 pneumonia. We report the case of a 78-year-old man presenting with pseudo-tumoral focal lesion of the left lung which switched shortly to severe and diffuse COVID-19 induced pneumonia. Nuclear medicine physicians and radiologists should be careful of some misleading hypermetabolic aspects mostly in asymptomatic patients.

Indexed as

CoronavirusCOVID-19Early bronchiectasisPET-CTPseudo-tumoral

Identifiers

PMID32788946
PMCPMC7365052

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.