Evidence map›Paper›PMID 32292880›Full record

ReviewChinese journal of academic radiology2020

Progress and prospect on imaging diagnosis of COVID-19.

Li Fan, Dong Li, Huadan Xue, Longjiang Zhang, Zaiyi Liu, Bing Zhang, Lina Zhang, Wenjie Yang, Baojun Xie, Xiaoyi Duan and 10 more

Abstract readReview
In one paragraph

Review in Chinese journal of academic radiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. An Efficient Deep Learning Model to Detect COVID-19 Using Chest X-ray Images.International journal of environmental research and public health · 2022
    Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Review
  11. Article
  12. Article
  13. Initial CT features of COVID-19 predicting clinical category.Chinese journal of academic radiology · 2021
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Review
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

20 authors.

Li Fan *Department of Radiology, Changzheng Hospital, Second Military Medical University, No. 415 Fengyang Road, Shanghai, 200003 China.
Dong Li *Department of Radiology, Tianjin Medical University General Hospital, No. 154 Anshan Road, Heping District, Tianjin, 300052 China.
Huadan Xue *Department of Radiology, Peking Union Medical College Hospital, No. 1 Shuaifuyuan, Dongcheng District, Beijing, 100730 China.
Longjiang ZhangDepartment of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, No. 305 Zhongshan Eastern Road, Xuanwu District, Nanjing, 210002 China.
Zaiyi LiuDepartment of Radiolgy, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, No. 106, Zhongshan Er Road, Guangzhou, 510080 China.
Bing ZhangDepartment of Radiolgy, The Affiliated Drum Tower Hospital, Medical School of Nanjing University, No. 321 Zhongshan Road, Nanjing, 210008 China.
Lina ZhangDepartment of Radiology, The First Hospital of China Medical University, No. 155 Nanjingbei Street, Heping District, Shenyang, 110001 China.
Wenjie YangDepartment of Radiology, Shanghai Ruijin Hospital, No. 127 Ruijin Road, Huangpu District, Shanghai, 200025 China.
Baojun XieDepartment of Radiology, Renmin Hospital, Wuhan University, No. 238 Jiefang Road, Wuchang District, Wuhan, 430060 China.
Xiaoyi DuanDepartment of Radiology, The First Affiliated Hospital of Xi'an Jiaotong University, No. 277 Yanta West Road, Xi'an, 710061 Shaanxi China.
Xiuhua HuDepartment of Radiology, Sir Run Run Shaw Hospital, Medical School, Zhejiang University, 3 East Qinchun Road, Hangzhou, 310006 Zhejiang China.
Kailiang ChengDepartment of Radiology, China-Japan Union Hospital of Jilin University, No. 126 Xiantai Street, Erdao District, Changchun, 130033 Jilin China.
Liqing PengDepartment of Radiology, West China Hospital, Sichuan University, No. 37 Guoxue Road, Wuhou District, Chengdu, 610041 China.
Nan YuDepartment of Radiology, Affiliated Hospital of Shaanxi University of Chinese Medicine, No 2, Wei Yang West Road, Xian Yang, 712000 China.
Lan SongDepartment of Radiology, Peking Union Medical College Hospital, No. 1 Shuaifuyuan, Dongcheng District, Beijing, 100730 China.
Huai ChenDepartment of Radiology, First Affiliated Hospital of Guangzhou Medical University, No. 151 Yanjiang Road, Yuexiu District, Guangzhou, 510120 China.
Xin SuiDepartment of Radiology, Peking Union Medical College Hospital, No. 1 Shuaifuyuan, Dongcheng District, Beijing, 100730 China.
Nannan ZhengDepartment of Radiology, Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technologyechnology, No. 100 Hongkong Road, Jiangan District, Wuhan, 430016 China.
Shiyuan LiuDepartment of Radiology, Changzheng Hospital, Second Military Medical University, No. 415 Fengyang Road, Shanghai, 200003 China.
Zhengyu JinDepartment of Radiology, Peking Union Medical College Hospital, No. 1 Shuaifuyuan, Dongcheng District, Beijing, 100730 China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

COVID-19 has become a public health emergency due to its rapid transmission. The appearance of pneumonia is one of the major clues for the diagnosis, progress and therapeutic evaluation. More and more literatures about imaging manifestations and related research have been reported. In order to know about the progress and prospective on imaging of COVID-19, this review focus on interpreting the CT findings, stating the potential pathological basis, proposing the challenge of patients with underlying diseases, differentiating with other diseases and suggesting the future research and clinical directions, which would be helpful for the radiologists in the clinical practice and research.

Indexed as

Artificial intelligenceCOVID-19ImagingViral pneumonia

Identifiers

PMID32292880
PMCPMC7149076

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.