Evidence map›Paper›PMID 33644690›Full record

ArticleChinese journal of academic radiology2021

Initial CT features of COVID-19 predicting clinical category.

Li Fan, Wenqing Le, Qin Zou, Xiuxiu Zhou, Yun Wang, Hao Tang, Jiafa Han, Shiyuan Liu

Abstract read
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In one paragraph

Article in Chinese journal of academic radiology, 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
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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.

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

8 authors.

Li Fan *Department of Radiology, Changzheng Hospital, Naval Medical University, No. 415 Fengyang Road, Shanghai, 200003 China.
Wenqing Le *Department of Critical Care, Wuhan Hankou Hospital, Er Qi Side, Road No. 7, Hubei, 430010 China.
Qin ZouDepartment of Radiology, Changzheng Hospital, Naval Medical University, No. 415 Fengyang Road, Shanghai, 200003 China.
Xiuxiu ZhouDepartment of Radiology, Changzheng Hospital, Naval Medical University, No. 415 Fengyang Road, Shanghai, 200003 China.
Yun WangDepartment of Radiology, Changzheng Hospital, Naval Medical University, No. 415 Fengyang Road, Shanghai, 200003 China.
Hao TangDepartment of Respiratory and Critical Care Medicine, Changzheng Hospital, Naval Medical University, No. 415 Fengyang Road, Shanghai, 200003 China.
Jiafa HanDepartment of Radiology, Wuhan Hankou Hospital, Er Qi Side Road, No. 7, Hubei, 430010 China.
Shiyuan LiuDepartment of Radiology, Changzheng Hospital, Naval Medical University, No. 415 Fengyang Road, Shanghai, 200003 China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo analyze the initial CT features of different clinical categories of COVID-19. MATERIAL AND

methodsA total of 86 patients with COVID-19 were analyzed, including the clinical, laboratory and imaging features. The following imaging features were analyzed, the lesion amount, location, density, lung nodule, halo sign, reversed-halo sign, distribution pattern, inner structures and changes of adjacent structures. Chi-square test, Fisher's exact test, or Mann-Whitney

resultsSignificant statistical differences were found in age (

conclusionThe initial CT features of the different clinical category overlapped. Combining with laboratory test, especially the lymphocyte count, could help to predict the severity of COVID-19. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s42058-021-00056-4.

Indexed as

Clinical categoryCOVID-19Imaging findings

Identifiers

PMID33644690
PMCPMC7896877

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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.