Evidence map›Paper›PMID 33290242›Full record

ArticleDiagnostic and interventional radiology (Ankara, Turkey)2021

Predictive value of CT imaging findings in COVID-19 pneumonia at the time of first-screen regarding the need for hospitalization or intensive care unit.

Deniz Esin Tekcan Sanli, Duzgun Yildirim, Ahmet Necati Sanli, Neval Erozan, Guray Husmen, Aytug Altundag, Filiz Tuzuner, Oner Dikensoy, Ceyda Erel Kirisoglu

Abstract read
In one paragraph

Article in Diagnostic and interventional radiology (Ankara, Turkey), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–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

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

7 citing papers in PubMed.

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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

9 authors.

Deniz Esin Tekcan SanliDepartment of Radiology, Acibadem Kozyatagi Hospital, Istanbul, Turkey.
Duzgun YildirimDepartment of Radiology, Acibadem Taksim Hospital, Istanbul, Turkey.
Ahmet Necati SanliDepartment of General Surgery, Istanbul University-Cerrahpasa, Cerrahpasa Medical Faculty, Istanbul, Turkey.
Neval ErozanDepartment of Radiology, Acibadem Kozyatagi Hospital, Istanbul, Turkey.
Guray HusmenDepartment of Radiology, Acibadem Kozyatagi Hospital, Istanbul, Turkey.
Aytug AltundagDepartment of Otolaryngology, Acibadem Taksim Hospital, Istanbul, Turkey.
Filiz TuzunerDepartment of Anestesiology, Acibadem Taksim Hospital, Istanbul, Turkey.
Oner DikensoyDepartment of Pulmonary Medicine, Acibadem Taksim Hospital, Istanbul, Turkey.
Ceyda Erel KirisogluDepartment of Pulmonary Medicine, Acibadem Kozyatagi Hospital, Istanbul, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeIn this study, we aimed to reveal the relationship between initial lung parenchymal involvement patterns and the subsequent need for hospitalization and/or intensive care unit admission in coronavirus disease 2019 (COVID-19) positive cases.

methodsOverall, 231 patients diagnosed with COVID-19 as proven by PCR were included in this study. Based on the duration of hospitalization, patients were divided into three groups as follows: Group 1, patients receiving outpatient treatment or requiring hospitalization <7 days; Group 2, requiring hospitalization ≥7 days; Group 3, patients requiring at least 1 day of intensive care at any time. Chest CT findings at first admission were evaluated for the following features: typical/atypical involvement of the disease, infiltration patterns (ground-glass opacities, crazy-paving pattern, consolidation), distribution and the largest diameters of the lesions, total lesion numbers, number of affected lung lobes, and affected total lung parenchyma percentages. The variability of all these findings according to the groups was analyzed statistically.

resultsIn this study, 172 patients were in Group 1, 39 patients in Group 2, and 20 patients in Group 3. The findings obtained in this study indicated that there was no statistically significant difference in ground-glass opacity rates among the groups (p = 0.344). The rates of crazy-paving and consolidation patterns were significantly higher in Groups 2 and 3 than in Group 1 (p = 0.001, p = 0.002, respectively). The rate of right upper, left upper lobe, and right middle lobe involvements as consolidation pattern was significantly higher in Group 3 than in Group 1 (p = 0.148, p = 0.935, p = 0.143, respectively). A statistically significant difference was also found between the affected lobe numbers, total lesion numbers, the diameter of the largest lesion, and the affected lung parenchyma percentages between the groups (p = 0.001). The average number of impacted lobes in Group 1 was 2; 4 in Group 2 and Group 3. The mean percentage of affected lung parenchyma percentage was 25% in Group 1 and Group 2, and 50% in Group 3.

conclusionIn case of infiltration dominated by right middle or upper lobe involvement with a consolidation pattern, there is a higher risk of future intensive care need. Also, the need for intensive care increases as the number of affected lobes and percentage of affected parenchymal involvement increase.

Indexed as

COVID-19PneumoniaHospitalizationHumansIntensive Care UnitsLungRetrospective StudiesSARS-CoV-2Tomography, X-Ray Computed

Identifiers

PMID33290242
PMCPMC8480949

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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.