Evidence map›Paper›PMID 33472338›Full record

ArticleSingapore medical journal2022

Early clinical and CT features of COVID-19 and community-acquired pneumonia from a fever observation ward in Ningbo, China.

Guoqing Qian, Yuanwei Lin, Xueqin Chen, Ada Hoi Yan Ma, Xuehui Zhang, Guoxiang Li, Xinzhong Ruan, Liemin Ruan

Abstract read
In one paragraph

Article in Singapore medical journal, 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

8 authors.

Guoqing QianDepartment of General Internal Medicine, Ningbo First Hospital, Ningbo University, Ningbo, Zhejiang, China.
Yuanwei LinDepartment of Radiology, Ningbo Hospital of Zhejiang University, Ningbo, Zhejiang, China.
Xueqin ChenDepartment of Chinese Traditional Medicine, Ningbo First Hospital, Ningbo University, Ningbo, Zhejiang, China.
Ada Hoi Yan MaNottingham University Business School, University of Nottingham Ningbo, Ningbo, Zhejiang, China.
Xuehui ZhangDepartment of General Internal Medicine, Ningbo First Hospital, Ningbo University, Ningbo, Zhejiang, China.
Guoxiang LiDepartment of General Internal Medicine, Ningbo First Hospital, Ningbo University, Ningbo, Zhejiang, China.
Xinzhong RuanDepartment of Radiology, Ningbo Hospital of Zhejiang University, China.
Liemin RuanDepartment of Mental Health, Ningbo First Hospital, Ningbo University, Ningbo, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionWe aimed to compare the early clinical manifestations, laboratory results and chest computed tomography (CT) images of COVID-19 patients with those of other community-acquired pneumonia (CAP) patients to differentiate CAP from COVID-19 before reverse transcription-polymerase chain reaction results are obtained.

methodsThe clinical and laboratory data and chest CT images of 51 patients were assessed in a fever observation ward for evidence of COVID-19 between January and February 2020.

results24 patients had laboratory-confirmed COVID-19, whereas 27 individuals had negative results. No statistical difference in clinical features was found between COVID-19 and CAP patients, except for diarrhoea. There was a significant difference in lymphocyte and eosinophil counts between COVID-19 and CAP patients. In total, 22 (91.67%) COVID-19 patients had bilateral involvement and multiple lesions according to their lung CT images; the left lower lobe (87.50%) and right lower lobe (95.83%) were affected most often, and all lesions were located in the peripheral zones of the lung. The most common CT feature of COVID-19 was ground-glass opacity, found in 95.83% of patients, compared to 66.67% of CAP patients.

conclusionDiarrhoea, lymphocyte counts, eosinophil counts and CT findings (e.g. ground-glass opacity) could help to distinguish COVID-19 from CAP at an early stage of infection, based on findings from our fever observation ward.

Indexed as

Community-Acquired InfectionsCOVID-19ChinaDiarrheaFeverHumansLungRetrospective StudiesSARS-CoV-2Tomography, X-Ray Computedclinical featuresCOVID-19high-resolution CTpneumoniaSARS-CoV-2

Identifiers

PMID33472338
PMCPMC9251259

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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.