Evidence map›Paper›PMID 36705199›Full record

ArticleJNMA; journal of the Nepal Medical Association2022

Abnormal Chest Computed Tomography Findings among Admitted Symptomatic COVID-19 Patients in a Tertiary Care Centre: A Descriptive Cross-sectional Study.

Sujit Pant, Bina Basnet, Sujata Panta, Neeraj Basanta Tulachan, Kalpana Rai, Mukunda Singh Shrestha

Open access · diamondAbstract read
In one paragraph

Article in JNMA; journal of the Nepal Medical Association, 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 88% 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

6 authors at 1 institution in 1 country.

Sujit PantDepartment of Radiology, Nepalese Army Institute of Health Sciences, Syanobharyang, Kathmandu, Nepal.
Bina BasnetDepartment of Radiology, Nepalese Army Institute of Health Sciences, Syanobharyang, Kathmandu, Nepal.
Sujata PantaDepartment of Radiology, Nepalese Army Institute of Health Sciences, Syanobharyang, Kathmandu, Nepal.
Neeraj Basanta TulachanDepartment of Radiology, Nepalese Army Institute of Health Sciences, Syanobharyang, Kathmandu, Nepal.
Kalpana RaiDepartment of Radiology, Nepalese Army Institute of Health Sciences, Syanobharyang, Kathmandu, Nepal.
Mukunda Singh ShresthaDepartment of Radiology, Nepalese Army Institute of Health Sciences, Syanobharyang, Kathmandu, Nepal.
Nepalese Army Institute of Health Services · NP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: COVID-19 has emerged as a pandemic and has varied clinical presentation. Computed Tomography scans of the chest play an important role in evaluating the lung parenchymal changes and aids in better planning the management of COVID-19 patients. The purpose of this study was to find the prevalence of abnormal chest computed tomography findings among admitted symptomatic COVID-19 patients in a tertiary care centre. Methods: This descriptive cross-sectional study was conducted from 25 October 2020 to January 2021 in a tertiary care hospital. Ethical approval was taken from the Institutional Review Committee (Registration number: 348). Convenience sampling method was used. Chest computed tomography findings of the admitted symptomatic COVID-19 patients were evaluated for abnormal findings. Point estimate and 95% Confidence Interval were calculated. Results: Among 153 patients, abnormal chest computed tomography findings were seen in 147 (96.07%) (92.99-99.15, 95% Confidence Interval). The findings of ground-glass opacities with consolidations were seen in 78 (53.06%) patients. Conclusions: The prevalence of abnormal chest findings among symptomatic COVID-19 patients in our study was similar to the studies done in other countries in similar settings. Majority of the symptomatic COVID-19 patients showed abnormal chest computed tomography scan findings in the form of ground glass opacities and consolidations. Keywords: COVID-19; Nepal; pneumonia; prevalence.

Indexed as

COVID-19Cross-Sectional StudiesHumansSARS-CoV-2Tertiary Care CentersTomography, X-Ray Computed

Identifiers

PMID36705199
PMCPMC9297348
OpenAlexW4283771682

What OpenQuestion holds

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Registered trials

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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.