Evidence map›Paper›PMID 35404245›Full record

ArticleTurkish thoracic journal2022

Can Thorax Computed Tomography Severity Score in Coronavirus Disease 2019 Patients Differentiate Smokers from Non-smokers?

Buket Yağcı, Ayse Özlem Balık, Recep Balık, Ulaş Yalım Uncu

Open access · greenAbstract read
In one paragraph

Article in Turkish thoracic journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 57% 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

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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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

4 authors.

Buket YağcıDepartment of Radiology, Haydarpaşa Numune Education and Research Hospital, İstanbul, Turkey.
Ayse Özlem BalıkDepartment of Radiology, Haydarpaşa Numune Education and Research Hospital, İstanbul, Turkey.
Recep BalıkDepartment of Clinical Infection and Microbiology, Haydarpaşa Numune Education and Research Hospital, İstanbul, Turkey.
Ulaş Yalım UncuDepartment of Radiology, Van Education and Research Hospital, Van, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe aim of this study was to explore the impact of smoking history on the severity of coronavirus disease 2019 radiologic findings. Therefore, we compared the computed tomography severity scores of smoking coronavirus disease 2019 patients with those of non-smoking coronavirus disease 2019 patients. MATERIAL AND

methodsA total of 121 patients were included in our study group. We retrospectively reviewed 121 patients who underwent reverse transcription-polymerase chain reaction sampling and computed tomography examination in our hospital between April 1, 2020, and July 30, 2020. All computed tomography images were independently reviewed by 2 radiologists.

resultsThere were 15 (12.4%) active smokers, 38 (31.4%) former smokers, and 68 (56.2%) never-smokers in this study. Among the 85 patients with evidence of pneumonia in thorax computed tomography, mean computed tomography severity scores were 8.02 and standard deviation 5.812. Computed tomography severity scores for patients with pathological computed tomography scans (n = 85) were performed for evaluating smoking status (never-smokers and smokers). We found a statistically significant relationship between computed tomography severity scores of never-smokers (n = 39) and smokers (n = 46) (Z = 2.243, P = .025). The computed tomography severity scores threshold for differentiating smokers in our study group was 8, with a sensitivity of 52.2% and a specificity of 79.5%. Among the 121 patients, 34 (28.1%) were in the asymptomatic group, 36 (29.75%) were in the mild group, 28 (23.14%) were in the common group, and 23 (19.0%) were in the severe group with severe pneumonia and respiratory distress. Five (1.47%), 16 (44.44%), 14 (50%), and 18 (78.26%) of the patients in these groups were smoking, respectively.

conclusionAmong coronavirus disease 2019 patients, smoking is associated with the progression of the disease and increased adverse effects. In our study, smoking status was significantly correlated with thorax computed tomography findings on admission. Computed tomography severity scores assessment helps to evaluate the disease extent in coronavirus disease 2019 patients.

Identifiers

PMID35404245
PMCPMC9450094
OpenAlexW4220763956

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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.