Evidence map›Paper›PMID 36425050›Full record

ArticleCureus2022

COVID-19 vs. Influenza: A Chest X-ray Comparison.

Shiv Goel, Adam Kipp, Nirmit Goel, Jingjing Kipp

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 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
0.9field-weighted citation impact, top 27% 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, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

4 authors at 3 institutions in 3 countries.

Shiv GoelMedicine, St. Ignatius College Prep, Chicago, USA.
Adam KippMedicine, St. Ignatius College Prep, Chicago, USA.
Nirmit GoelRadiology, Michigan State University, East Lansing, USA.
Jingjing KippBiological Sciences, DePaul University, Chicago, USA.
Ignatius Hospital · NLDePaul University · USMichigan State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction COVID-19 and influenza are primarily respiratory diseases, have similar symptoms with most patients developing mild to moderate illness, and show similar features on chest X-rays. We hypothesize that patients seeking treatments at the emergency department (ED) due to COVID-19 or influenza infection will have similar severity levels of features on chest X-rays, with most of them demonstrating normal to mildly abnormal chest X-ray findings.  Methods Chest X-ray images of 312 COVID-19 patients and 312 influenza patients were obtained from the teaching files of a general diagnostic radiologist. Images from each of these two groups were reviewed and classified. Based on the severity levels of lung abnormalities, each image was categorized into one of four categories: normal, mildly abnormal, moderately abnormal, or severely abnormal. The total number of images in each category within each disease group was counted, and the percentage was calculated compared to the total number of images analyzed in that group. Results from both groups were then compared. Results The severity levels of chest X-ray abnormalities were similar between the COVID-19 group and the COVID-negative influenza group at the time of ED visits, with most images being normal or mildly abnormal. The percentages of the images categorized as normal, mildly abnormal, moderately abnormal, and severely abnormal in the COVID-19 group and the influenza group were 38-39%, 28-29%, 22-21%, and 12-11%, respectively. Conclusion Our findings suggest that in the ED setting, no distinction can be made between COVID-19 and Influenza infections if based just on chest X-rays.

Indexed as

chest x raycovid-19emergency departmentinfluenzaseverity rate

Identifiers

PMID36425050
PMCPMC9681165
OpenAlexW4309620693

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.