Evidence map›Paper›PMID 35360793›Full record

ArticleJournal of family medicine and primary care2022

Chest radiographic findings and their correlation with disease progression in COVID-19 patients in northern India.

Neema Agarwal, Payal Jain, Tooba N Khan, Rakesh Gupta

Open access · goldAbstract read
In one paragraph

Article in Journal of family medicine and primary care, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 98% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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 1 institution in 1 country.

Neema AgarwalDepartment of Radio Diagnosis, Government Institute of Medical Sciences, Greater Noida, Uttar Pradesh, India.
Payal JainDepartment of Medicine, Government Institute of Medical Sciences, Greater Noida, Uttar Pradesh, India.
Tooba N KhanDepartment of Radio Diagnosis, Government Institute of Medical Sciences, Greater Noida, Uttar Pradesh, India.
Rakesh GuptaDepartment of Paediatrics, Government Institute of Medical Sciences, Greater Noida, Uttar Pradesh, India.
Institute of Medical Sciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The present study was undertaken to describe and quantify the spectrum of radiographic findings on coronavirus disease 2019 (COVID-19) patients. The study also aimed to analyse the changes in chest X-ray (CXR) with disease progression. Methods: COVID-19 patients admitted between the period of 15 March 2020 and 1 July 2020 were retrospectively enrolled. CXR images were assessed and reported as 'Normal' or 'Abnormal'. A severity score was calculated using Warren Results: Five hundred patients (342 males, 158 females) were enrolled, median age being 35 years. Fever and cough were the most common symptoms but significant correlation of an abnormal CXR was found with dyspnoea. CXRs were normal in 67% and abnormal in 33% patients. The commonest comorbidities were diabetes mellitus and cardiovascular disease including hypertension, coronary artery disease and congestive heart failure. Predominant pattern was ground glass opacities, reticular alteration and consolidation peaking in the second week from symptom onset. The most frequent distribution was bilateral, peripheral with middle/lower predominance. Increasing age, male sex, presence of dyspnoea and comorbidities correlated with abnormal findings on CXR. Critical illness and mortality correlated strongly with increasing age, male sex and presence of dyspnoea, less so with presence of comorbidities. Conclusion: In the current scenario with clinicians and radiologists working in tandem, CXR seems to be a promising tool in providing relevant information in a simplified way.

Indexed as

Chest X-rayCOVID-19radiographyseverity

Identifiers

PMID35360793
PMCPMC8963591
OpenAlexW4214737178

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.