Evidence map›Paper›PMID 41584191›Full record

ArticleFrontiers in public health2025

A retrospective study of the clinical diagnosis and treatment of 158 cases of COVID-19.

Xiangqi Chen, Suyun Zhang, Qunying Lin, Xibin Zhuang, Xiangyang Yao, Li Lin, Xiaoyun Chen, Guoxiang Lai, Baosong Xie

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Xiangqi Chen *Department of Pulmonary and Critical Care Medicine, Fujian Medical University Union Hospital, Fuzhou, Fujian, China.
Suyun Zhang *Department of Internal Medicine, Fujian Medical University Union Hospital, Fuzhou, Fujian, China.
Qunying LinDepartment of Pulmonary and Critical Care Medicine, Affiliated Hospital of Putian University, Putian, Fujian, China.
Xibin ZhuangDepartment of Pulmonary and Critical Care Medicine, The First Hospital of Quanzhou Afliated to Fujian Medical University, Quanzhou, Fujian, China.
Xiangyang YaoDepartment of Pulmonary Diseases, The First Affiliated Hospital of Xiamen University, Xiamen, Fujian, China.
Li LinDepartment of Pulmonary and Critical Care Medicine, Zhangzhou Affiliated Hospital of Fujian Medical University, Zhangzhou, Fujian, China.
Xiaoyun ChenDepartment of Pulmonary and Critical Care Medicine, Fujian Medical University Union Hospital, Fuzhou, Fujian, China.
Guoxiang LaiDepartment of Pulmonary and Critical Care Medicine, 900th Hospital of the Joint Logistics Support Force, Fuzhou, Fujian, China.
Baosong XieShengli Clinical Medical College of Fujian Medical University, Fuzhou, Fujian, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to summarize the clinical characteristics, management, and outcomes, and to identify independent risk factors associated with the severity in a cohort of coronavirus disease 2019 (COVID-19) patients from early-pandemic Fujian Province, China. Methods: A total of 158 patients with confirmed COVID-19 were recruited from 10 designed hospitals of the Fujian province between January 22 and February 26, 2020. Their clinical, laboratory, computed tomography imaging, treatment, and outcome data were collected and summarized from electronic medical records. Potential independent risk factors associated with COVID-19 severity were explored by binary logistic multivariate regression. Results: Of the 158 COVID-19 patients, 36 had mild, 106 had moderate, 8 had severe, and 8 had critical disease severity. The median age was 45 years (interquartile range 35-55) and 81 (51.3%) were men. 8.2% had a history of smoking. 31.6% had chronic underlying conditions, among which hypertension (13.9%), diabetes (7.6%), and liver disease (7.0%) were the most common. The most common initial symptom was fever, followed by cough, sputum expectoration, and muscle soreness. 94.3% of patients had abnormal imaging findings on chest computed tomography or X-ray. Patients with severe/critical disease had significantly more prominent laboratory abnormalities, including an abnormal lymphocyte count and abnormal levels of white blood cells, albumin, aspartate aminotransferase, creatine kinase, lactate dehydrogenase, and D-dimer than mild/moderate patients (all Conclusion: COVID-19 patients from Fujian province during early pandemic presented mostly as mild/moderate cases with fever and cough as the initial symptoms. The detection of cellular immune function, coagulation function, myocardial damage, and liver function can help assess the severity of COVID-19. Specifically, the most important risk factors were older age, WBC elevation, and D-dimer elevation. Timely comprehensive treatment might be beneficial in controlling COVID-19.

Indexed as

COVID-19AdultAntiviral AgentsChinaFemaleHumansMaleMiddle AgedPandemicsRetrospective StudiesRisk FactorsSARS-CoV-2Severity of Illness IndexTomography, X-Ray ComputedAntiviral Agentsclinical characteristicsCOVID-19Fujian provincerisk factorsseveritytreatment

Identifiers

PMID41584191
PMCPMC12824004

What Socratic holds

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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 Socratic graph.