Evidence map›Paper›PMID 37520011›Full record

ArticleResearch in diagnostic and interventional imaging2022

Investigating of the role of CT scan for cancer patients during the first wave of COVID-19 pandemic.

Sylvain Bourdoncle, Thomas Eche, Jeremy McGale, Kevin Yiu, Ephraïm Partouche, Randy Yeh, Samy Ammari, Hervé Rousseau, Laurent Dercle, Fatima-Zohra Mokrane

Open access · diamondAbstract read
In one paragraph

Article in Research in diagnostic and interventional imaging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 35% of its field
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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Article
  3. 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 at 5 institutions in 2 countries.

Sylvain BourdoncleRadiology Department, Rangueil University Hospital, 1 avenue du Professeur Jean, Poulhes, 31059, Toulouse France.
Thomas EcheRadiology Department, Rangueil University Hospital, 1 avenue du Professeur Jean, Poulhes, 31059, Toulouse France.
Jeremy McGaleColumbia University Vagellos College of Physicians and Surgeons, Department of Radiology, New York, New York City, USA. Department of Radiology New York Presbyterian Hospital, United States.
Kevin YiuColumbia University Vagellos College of Physicians and Surgeons, Department of Radiology, New York, New York City, USA. Department of Radiology New York Presbyterian Hospital, United States.
Ephraïm PartoucheRadiology Department, Rangueil University Hospital, 1 avenue du Professeur Jean, Poulhes, 31059, Toulouse France.
Randy YehMemorial Sloan Kettering Cancer Center, Molecular Imaging and Therapy Service. New York, United States.
Samy AmmariDépartement de l'Imagerie Médicale, Service d'Imagerie Diagnostique, Gustave Roussy, Université Paris Saclay, Villejuif, France.
Hervé RousseauRadiology Department, Rangueil University Hospital, 1 avenue du Professeur Jean, Poulhes, 31059, Toulouse France.
Laurent DercleMontefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY, United States.
Fatima-Zohra MokraneRadiology Department, Rangueil University Hospital, 1 avenue du Professeur Jean, Poulhes, 31059, Toulouse France.
Hôpital Rangueil · FRNewYork–Presbyterian Hospital · USAlbert Einstein College of Medicine · USCentre National de la Recherche Scientifique · FRMemorial Sloan Kettering Cancer Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Amidst this current COVID-19 pandemic, we undertook this systematic review to determine the role of medical imaging, with a special emphasis on computed tomography (CT), on guiding the care and management of oncologic patients. Material and Methods: Study selection focused on articles from 01/02/2020 to 04/23/2020. After removal of irrelevant articles, all systematic or non-systematic reviews, comments, correspondence, editorials, guidelines and meta-analysis and case reports with less than 5 patients were also excluded. Full-text articles of eligible publications were reviewed to select all imaging-based publications, and the existence or not of an oncologic population was reported for each publication. Two independent reviewers collected the following information: ( 1) General publication data; (2) Study design characteristics; (3) Demographic, clinical and pathological variables with percentage of cancer patients if available; (4) Imaging performances. The sensitivity and specificity of chest CT (C-CT) were pooled separately using a random-effects model. The positive predictive value (PPV) and negative predictive value (NPV) of C-CT as a test was estimated for a wide range of disease prevalence rates. Results: A total of 106 publications were fully reviewed. Among them, 96 were identified to have extractable data for a two-by-two contingency table for CT performance. At the end, 53 studies (including 6 that used two different populations) were included in diagnosis accuracy analysis ( Discussion: There is a concerning lack of COVID-19 studies involving oncologic patients, showing there is a real need for further investigation and evaluation of the performance of the different medical imaging modalities in this specific patient population.

Indexed as

COVID-19Medical oncologyMeta-analysisMultidetector computed tomography

Identifiers

PMID37520011
PMCPMC8970534
OpenAlexW4220923147

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.