Evidence map›Paper›PMID 33441572›Full record

ArticleScientific reports2021

Correlation between CT findings and outcomes in 46 patients with coronavirus disease 2019.

Qiang Lei, Guangming Li, Xiaofen Ma, Junzhang Tian, Yun Fan Wu, Hui Chen, Wen Xu, Cheng Li, Guihua Jiang

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
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  3. [Correlation between comorbidities and thoracic CT manifestations of COVID-19 pneumonia].Medizinische Klinik, Intensivmedizin und Notfallmedizin · 2024
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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.

Qiang LeiDepartment of Medical Imaging, Guangdong Traditional Medical and Sports Injury Rehabilitation Research Institute, Guangdong Second Provincial General Hospital, Haizhu District, Shiliugang Rd, Guangzhou, 510317, People's Republic of China.
Guangming LiDepartment of Medical Imaging, Fancheng District, Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science, Zhongyuan RD, Xiangyang, 441003, People's Republic of China.
Xiaofen MaDepartment of Medical Imaging, Guangdong Traditional Medical and Sports Injury Rehabilitation Research Institute, Guangdong Second Provincial General Hospital, Haizhu District, Shiliugang Rd, Guangzhou, 510317, People's Republic of China.
Junzhang TianDepartment of Medical Imaging, Guangdong Traditional Medical and Sports Injury Rehabilitation Research Institute, Guangdong Second Provincial General Hospital, Haizhu District, Shiliugang Rd, Guangzhou, 510317, People's Republic of China.
Yun Fan WuDepartment of Medical Imaging, Guangdong Traditional Medical and Sports Injury Rehabilitation Research Institute, Guangdong Second Provincial General Hospital, Haizhu District, Shiliugang Rd, Guangzhou, 510317, People's Republic of China.
Hui ChenDepartment of Medical Imaging, Fancheng District, Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science, Zhongyuan RD, Xiangyang, 441003, People's Republic of China.
Wen XuDepartment of Medical Imaging, Fancheng District, Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science, Zhongyuan RD, Xiangyang, 441003, People's Republic of China.
Cheng LiDepartment of Medical Imaging, Guangdong Traditional Medical and Sports Injury Rehabilitation Research Institute, Guangdong Second Provincial General Hospital, Haizhu District, Shiliugang Rd, Guangzhou, 510317, People's Republic of China. 182838li@163.com.
Guihua JiangDepartment of Medical Imaging, Guangdong Traditional Medical and Sports Injury Rehabilitation Research Institute, Guangdong Second Provincial General Hospital, Haizhu District, Shiliugang Rd, Guangzhou, 510317, People's Republic of China. jianggh@gd2h.org.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to analyze initial chest computed tomography (CT) findings in COVID-19 pneumonia and identify features associated with poor prognosis. Patients with RT-PCR-confirmed COVID-19 infection were assigned to recovery group if they made a full recovery and to death group if they died within 2 months of hospitalization. Chest CT examinations for ground-glass opacity, crazy-paving pattern, consolidation, and fibrosis were scored by two reviewers. The total CT score comprised the sum of lung involvement (5 lobes, scores 1-5 for each lobe, range; 0, none; 25, maximum). 40 patients who recovered from COVID-19 and six patients who died were enrolled. The initial chest CTs showed 27 (58.7%) patients had ground-glass opacity, 19 (41.3%) had ground glass and consolidation, and 35 (76.1%) patients had crazy-paving pattern. None of the patients who died had fibrosis in contrast to six (15%) patients who recovered from COVID-19. Most patients had subpleural lesions (89.0%) as well as bilateral (87.0%) and lower (93.0%) lung lobe involvement. Diffuse lesions were present in four (67%) patients who succumbed to coronavirus but only one (2.5%) patient who recovered (p < 0.001). In the death group of patients, the total CT score was higher than that of the recovery group (p = 0.005). Patients in the death group had lower lymphocyte count and higher C-reactive protein than those in the recovery group (p = 0.011 and p = 0.041, respectively). A high CT score and diffuse distribution of lung lesions in COVID-19 are indicative of disease severity and short-term mortality.

Indexed as

Tomography, X-Ray ComputedCOVID-19FemaleHospitalizationHumansMaleMiddle AgedPrognosisRetrospective Studies

Identifiers

PMID33441572
PMCPMC7806649

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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.