Evidence map›Paper›PMID 35669127›Full record

ArticleChinese journal of academic radiology2022

The correlation study on chest CT features and kidney injury in severe COVID-19 pneumonia from a multicenter cohort study.

Guan Li, Zhiyuan Sun, Song Luo, Lianli Qiu, Longjiang Zhang, Guangming Lu

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PubMed Full text at PMC Publisher
In one paragraph

Article in Chinese journal of academic radiology, 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
–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

1 citing paper in PubMed.

  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

6 authors.

Guan LiDepartment of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, No. 305, Eastern Zhongshan Road, Nanjing, 210002 China.
Zhiyuan SunDepartment of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, No. 305, Eastern Zhongshan Road, Nanjing, 210002 China.
Song LuoDepartment of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, No. 305, Eastern Zhongshan Road, Nanjing, 210002 China.
Lianli QiuDepartment of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, No. 305, Eastern Zhongshan Road, Nanjing, 210002 China.
Longjiang ZhangDepartment of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, No. 305, Eastern Zhongshan Road, Nanjing, 210002 China.
Guangming LuDepartment of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, No. 305, Eastern Zhongshan Road, Nanjing, 210002 China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Among confirmed severe COVID-19 patients, although the serum creatinine level is normal, they also have developed kidney injury. Early detection of kidney injury can guide doctors to choose drugs reasonably. Study found that COVID-19 have some special chest CT features. The study aimed to explore which chest CT features are more likely appear in severe COVID-19 and the relationship between related (special) chest CT features and kidney injury or clinical prognosis. Methods: In this retrospective study, 162 patients of severe COVID-19 from 13 medical centers in China were enrolled and divided into three groups according to the estimated glomerular filtration rate (eGFR) level: Group A (eGFR < 60 ml/min/1.73 m Results: Demographic and clinical features showed significant differences in age, hypertension, and fatigue among the Group A, Group B, and Group C (all Conclusions: The crazy-paving pattern is more likely to appear in the chest CT of patients with severe COVID-19. In severe COVID-19, the appearance of the crazy-paving pattern on chest CT indicates the occurrence of kidney injury and proneness to death. The crazy-paving pattern can be used by doctors as an early warning indicator and a guidance of reasonable drug selection.

Indexed as

Chest computed tomographyClinical prognosisCoronavirus Disease 2019 (COVID-19)Crazy-paving patternEstimated glomerular filtration rate (eGFR)

Identifiers

PMID35669127
PMCPMC9160511

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