ArticleVirulence2020
Novel biomarkers for the prediction of COVID-19 progression a retrospective, multi-center cohort study.
Article in Virulence, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.
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Who cites it
10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 20 citations in OpenAlex.
- Prognostic models in COVID-19 infection that predict severity: a systematic review.European journal of epidemiology · 2023Pooled it
- Serum amyloid A concentrations, COVID-19 severity and mortality: An updated systematic review and meta-analysis.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2021Pooled it
- The Ability of Serum Amyloid A to Discriminate Coronavirus Disease 2019 (COVID-19) Patients Who Stay Moderately Ill Versus Patients Who Become Severely Ill.Journal of clinical laboratory analysis · 2026Article
- Intranasal SARS-CoV-2 infection changes the transcriptome of the mouse trigeminal ganglion and brainstem: potential mechanisms underlying headache and trigeminal pain presentation in COVID-19.Journal of neuroinflammation · 2026Article
- Larynx Injuries After Orotracheal Intubation: What are Risk Factors Observed in Patients with Covid?International archives of otorhinolaryngology · 2026Article
- Approaching Personalized Medicine: The Use of Machine Learning to Determine Predictors of Mortality in a Population with SARS-CoV-2 Infection.Biomedicines · 2024Article
- Validation of a risk prediction model for COVID-19: the PERIL prospective cohort study.Future virology · 2023Article
- Serum amyloid A-A potential therapeutic target for hyper-inflammatory syndrome associated with COVID-19.Frontiers in medicine · 2023Review
- Heterogeneity and Risk of Bias in Studies Examining Risk Factors for Severe Illness and Death in COVID-19: A Systematic Review and Meta-Analysis.Pathogens (Basel, Switzerland) · 2022Review
- Role of Serum Amyloid A as a Biomarker for Predicting the Severity and Prognosis of COVID-19.Journal of immunology research · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A pandemic designated as Coronavirus Disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is spreading worldwide. Up to date, there is no efficient biomarker for the timely prediction of the disease progression in patients. To analyze the inflammatory profiles of COVID-19 patients and demonstrate their implications for the illness progression of COVID-19. Retrospective analysis of 3,265 confirmed COVID-19 cases hospitalized between 10 January 2020, and 26 March 2020 in three medical centers in Wuhan, China. Patients were diagnosed as COVID-19 and hospitalized in Leishenshan Hospital, Zhongnan Hospital of Wuhan University and The Seventh Hospital of Wuhan, China. Univariable and multivariable logistic regression models were used to determine the possible risk factors for disease progression. Moreover, cutoff values, the sensitivity and specificity of inflammatory parameters for disease progression were determined by MedCalc Version 19.2.0. Age (95%CI, 1.017 to 1.048;
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