Evidence map›Paper›PMID 33315351›Full record

ArticleTurkish journal of medical sciences2021

Evaluation of initial chest computed tomography (CT) findings of COVID-19 pneumonia in 117 deceased patients: a retrospective study

Yasemin Gündüz, Oğuz Karabay, Ali Fuat Erdem, Erbil Arık, Mehmet Halil Öztürk

Open access · bronzeAbstract readComparative StudyMulticenter Study
In one paragraph

Article in Turkish journal of medical sciences, 2021. 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
0.1field-weighted citation impact, top 46% 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, 1 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

5 authors at 1 institution in 2 countries.

Yasemin GündüzDepartment of Radiology, Faculty of Medicine, Sakarya University, Sakarya, TurkeyORCID 0000-0003-1514-1685
Oğuz KarabayDepartment of Infectious Diseases and Clinical Microbiology, Faculty of Medicine, Sakarya University, Sakarya, TurkeyORCID 0000-0001-2345-6785
Ali Fuat ErdemDepartment of Anesthesiology and Reanimation, Faculty of Medicine, Sakarya University, Sakarya, TurkeyORCID 0000-0001-6994-397X
Erbil ArıkDepartment of Radiology, Faculty of Medicine, Sakarya University, Sakarya, TurkeyORCID 0000-0002-5976-860X
Mehmet Halil ÖztürkDepartment of Radiology, Faculty of Medicine, Sakarya University, Sakarya, TurkeyORCID 0000-0003-3216-4205
Sakarya University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background/aim: There is no study in the literature in which only chest computed tomography (CT) findings of deceased cases obtained at admission were examined, and the relationship between these findings and mortality was evaluated. Materials and methods: In this retrospective study, a total of 117 deceased patients with COVID-19 infection confirmed by positive polymerase chain reaction and undergone chest CT were enrolled. We evaluated initial chest CT findings and their relationship, location, prevalence, and the frequency with mortality. Results: The mean age of patients was 73 ±18 years; 71 of all patients were male and 46 were female. The predominant feature was pure ground-glass opacity (GGO) lesion (82.0%), and 59.8% of cases had pure consolidation. There was no cavitation or architectural distorsion. Pericardial effusion was found in 9.4% the patients, and pleural effusions were found in 15.3% of them. Mediastinal lymphadenopathy was only 11.9% in total. Conclusion: In deceased patients, on admission CTs, pure consolidation, pleural and pericardial effusion, mediastinal LAP were more common than ordinary cases. It was these findings that should also raise the concern when they were seen on chest CT; therefore, these radiologic features have the potential to represent prognostic imaging markers in patients with COVID-19 pneumonia.

Indexed as

AgedCOVID-19FemaleHumansLungMaleMiddle AgedPandemicsRetrospective StudiesSARS-CoV-2Tomography, X-Ray ComputedChest computed tomographyCOVID-19 infectionmortality

Identifiers

PMID33315351
PMCPMC8283471
OpenAlexW3173569026

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.