Evidence map›Paper›PMID 34214871›Full record

ArticleClinical imaging2021

Role of hepatosteatosis in the prognosis of COVID 19 disease.

Mahmut Çoraplı, Ercan Çil, Cemil Oktay, Hüseyin Kaçmaz, Gökhan Çoraplı, Hacı Taner Bulut

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In one paragraph

Article in Clinical imaging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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.

Mahmut ÇoraplıDepartment of Radiology, Adiyaman Training & Research Hospital, Turkey. Electronic address: mahmutcorapli@gmail.com.
Ercan ÇilDepartment of Chest Diseases, Medicine Faculty of Adiyaman University, Turkey.
Cemil OktayDepartment of Radiology, Adiyaman Training & Research Hospital, Turkey.
Hüseyin KaçmazDepartment of Gastroenterology, Adiyaman Training & Research Hospital, Turkey.
Gökhan ÇoraplıDepartment of Chest Diseases, Yüksekova State Hospital, Turkey.
Hacı Taner BulutDepartment of Radiology, Medicine Faculty of Adiyaman University, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo measure the degree of fatty liver using non-contrast enhanced chest computed tomography (CT) and investigate its relationship with the severity and prognosis of coronavirus disease 2019 (COVID-19) in adult patients.

methodsThis retrospective study included consecutive patients who had been diagnosed with COVID-19 using real-time reverse-transcription polymerase chain reaction (RT-PCR) and subsequently underwent non-contrast enhanced chest CT between October 10 and December 10, 2020. Hepatic attenuation values were measured from Couinaud segments 2, 4, and 8 based on the CT images and the relationships between these values and the Pneumonia Severity Score (PSS), requirement of hospitalization, and the length of hospital and intensive care unit (ICU) stay were analyzed.

resultsThe study included 414 patients (182 were female, 43.96%), among whom 106 (25.6%) were diagnosed with hepatosteatosis (HS). In the patients with HS, the PSS scores were higher (10.8 ± 4.96 vs. 8.07 ± 5.12; p < 0.001), and 69 (65%) received inpatient care. Moreover, the number of HS patients who received inpatient care was 1.99 (95% confidence interval (CI) 1.26-3.15, p < 0.003) times higher than that of the non-HS patients. No significant difference was found between the HS and non-HS patients with regard to the length of hospital or ICU stay.

conclusionHS can be easily evaluated using non-contrast enhanced chest CT in COVID-19 patients and can be used as a prognostic marker to determine the requirement of hospitalization.

Indexed as

COVID-19AdultFemaleHumansPrognosisRetrospective StudiesSARS-CoV-2Tomography, X-Ray ComputedComputed tomographyCOVID-19HepatosteatosisHounsfield unit

Identifiers

PMID34214871
PMCPMC8234248

What OpenQuestion holds

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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.