Evidence map›Paper›PMID 35858851›Full record

ArticleBMC medical imaging2022

Investigation of the relationship of CO-RADS and CT patterns with laboratory parameters in COVID-19 patients and a new perspective on the total CT scoring system.

Nevin Aydin, Pinar Yildiz, Döndü Üsküdar Cansu, Elif Gündogdu, Rüya Mutluay, Göknur Yorulmaz, Melisa Sahin Tekin, Evin Kocaturk, I Özkan Alatas, Elif Doyuk Kartal and 8 more

Open access · goldAbstract read
In one paragraph

Article in BMC medical imaging, 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
0.3field-weighted citation impact, top 44% 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

1 citing paper in PubMed, 3 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

18 authors at 1 institution in 1 country.

Nevin AydinDepartment of Radiology, Faculty of Medicine, Eskisehir Osmangazi University, 26040, Eskisehir, Turkey. drnevinaydin@gmail.com.ORCID 0000-0002-7765-4323
Pinar YildizDepartment of Internal Medicine, Faculty of Medicine, Eskisehir Osmangazi University, Eskisehir, Turkey.ORCID 0000-0002-3625-9829
Döndü Üsküdar CansuDepartment of Internal Medicine, Faculty of Medicine, Eskisehir Osmangazi University, Eskisehir, Turkey.ORCID 0000-0001-6543-3905
Elif GündogduDepartment of Radiology, Faculty of Medicine, Eskisehir Osmangazi University, 26040, Eskisehir, Turkey.ORCID 0000-0002-1729-6958
Rüya MutluayDepartment of Internal Medicine, Faculty of Medicine, Eskisehir Osmangazi University, Eskisehir, Turkey.ORCID 0000-0002-7159-0082
Göknur YorulmazDepartment of Internal Medicine, Faculty of Medicine, Eskisehir Osmangazi University, Eskisehir, Turkey.ORCID 0000-0001-8596-9344
Melisa Sahin TekinDepartment of Internal Medicine, Faculty of Medicine, Eskisehir Osmangazi University, Eskisehir, Turkey.ORCID 0000-0002-4077-7258
Evin KocaturkDepartment of Biochemistry, Faculty of Medicine, Eskisehir Osmangazi University, Eskisehir, Turkey.ORCID 0000-0001-7434-4234
I Özkan AlatasDepartment of Biochemistry, Faculty of Medicine, Eskisehir Osmangazi University, Eskisehir, Turkey.ORCID 0000-0002-1753-8873
Elif Doyuk KartalDepartment of Infectious Diseases and Clinical Microbiology, Faculty of Medicine, Eskisehir Osmangazi University, Eskisehir, Turkey.ORCID 0000-0002-6984-3351
Nurettin ErbenDepartment of Infectious Diseases and Clinical Microbiology, Faculty of Medicine, Eskisehir Osmangazi University, Eskisehir, Turkey.ORCID 0000-0003-0373-0132
Gül DurmazDepartment of Medical Microbiology, Faculty of Medicine, Eskisehir Osmangazi University, Eskisehir, Turkey.ORCID 0000-0002-2002-8380
Nilgun KasifogluDepartment of Medical Microbiology, Faculty of Medicine, Eskisehir Osmangazi University, Eskisehir, Turkey.ORCID 0000-0002-1470-2308
Tercan UsDepartment of Medical Microbiology, Faculty of Medicine, Eskisehir Osmangazi University, Eskisehir, Turkey.ORCID 0000-0002-9772-6777
Garip SahinDepartment of Internal Medicine, Faculty of Medicine, Eskisehir Osmangazi University, Eskisehir, Turkey.ORCID 0000-0003-0567-0866
Cengiz BalDepartment of Biostatistics, Faculty of Medicine, Eskisehir Osmangazi University, Eskisehir, Turkey.ORCID 0000-0002-1553-2902
Senay YilmazDepartment of Chest Diseases, Faculty of Medicine, Eskisehir Osmangazi University, Eskisehir, Turkey.ORCID 0000-0003-2684-7616
Cengiz KorkmazDepartment of Internal Medicine, Faculty of Medicine, Eskisehir Osmangazi University, Eskisehir, Turkey.ORCID 0000-0003-2679-0699
Eskişehir Osmangazi University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIt is important to determine the correlation of the CO-RADS classification and computed tomography (CT) patterns of the lung with laboratory data. To investigate the relationship of CO-RADS categories and CT patterns with laboratory data in patients with a positive RT-PCR test. We also developed a structured total CT scoring system and investigated its correlation with the total CT scoring system.

methodThe CT examinations of the patients were evaluated in terms of the CO-RADS classification, pattern groups and total CT score. Structured total CT score values were obtained by including the total CT score values and pattern values in a regression analysis. The CT data were compared according to the laboratory data.

resultsA total of 198 patients were evaluated. There were significant differences between the CO-RADS groups in terms of age, ICU transfer, oxygen saturation, creatinine, LDH, D-dimer, high-sensitivity cardiac troponin-T (hs-TnT), CRP, structured total CT score values, and total CT score values. A significant difference was also observed between the CT pattern groups and oxygen saturation, creatinine and CRP values. When the structured total CT score values and total CT score values were compared they were observed to be correlated.

conclusionsCreatinine can be considered as an important marker for the CO-RADS and pattern classifications in lung involvement. LDH can be considered as an important marker of parenchymal involvement, especially bilateral and diffuse involvement. The structured total CT scoring system is a new system that can be used as an alternative.

Indexed as

COVID-19CreatinineHumansLungRetrospective StudiesTomography, X-Ray ComputedCreatinineCO-RADSCOVID-19CTCT patternHRCTTotal CT score

Identifiers

PMID35858851
PMCPMC9297272
OpenAlexW4286001342

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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.