Evidence map›Paper›PMID 33339621›Full record

ReviewRadiologia

When pneumonia is not COVID-19.

J J Arenas-Jiménez, J M Plasencia-Martínez, E García-Garrigós

Open access · greenAbstract readReview
In one paragraph

Review in Radiologia. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.3field-weighted citation impact, top 16% 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

5 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Efficacy of Transfer Learning-based ResNet models in Chest X-ray image classification for detecting COVID-19 Pneumonia.Chemometrics and intelligent laboratory systems : an international journal sponsored by the Chemometrics Society · 2022
    Article
  4. Article
  5. Epidemiology of Systemic Mycoses in the COVID-19 Pandemic.Journal of fungi (Basel, Switzerland) · 2021
    Review
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

3 authors at 3 institutions in 1 country.

J J Arenas-JiménezServicio de Radiodiagnóstico, Hospital General Universitario de Alicante. Instituto de Investigación Sanitaria y Biomédica de Alicante (ISABIAL), Alicante, España. Electronic address: j.arenasjimenez@gmail.com.
J M Plasencia-MartínezÁrea de Urgencias y de Imagen Cardiaca, Servicio de Radiodiagnóstico, Hospital Universitario Morales Meseguer, Murcia, España.
E García-GarrigósServicio de Radiodiagnóstico, Hospital General Universitario de Alicante. Instituto de Investigación Sanitaria y Biomédica de Alicante (ISABIAL), Alicante, España.
Hospital General Universitario de Alicante Doctor Balmis · ESHospital General Universitario Morales Meseguer · ESInstituto de investigación sanitaria y biomédica de Alicante

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

During the COVID-19 epidemic, the prevalence of the disease means that practically any lung opacity on an X-ray could represent pneumonia due to infection with SARS-CoV-2. Nevertheless, atypical radiologic findings add weight to negative microbiological or serological tests. Likewise, outside the epidemic wave and with the return of other respiratory diseases, radiologists can play an important role in decision making about diagnoses, treatment, or preventive measures (isolation), provided they know the key findings for entities that can simulate COVID-19 pneumonia. Unifocal opacities or opacities located in upper lung fields and predominant airway involvement, in addition to other key radiologic and clinical findings detailed in this paper, make it necessary to widen the spectrum of possible diagnoses.

Indexed as

COVID-19Diagnosis, DifferentialHumansPneumoniaRadiography, ThoracicTomography, X-Ray ComputedComputed tomographyCOVID-19Diagnostic imagingRadiographyX rayX-rays

Identifiers

PMID33339621
PMCPMC7699022
OpenAlexW3122592737

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.