development of a novel scoring system for comprehensive covid-19 patient evaluation: an evidence-based systematic review

Context: in the era of the sars-cov-2 virus pandemic, new scoring systems need to be developed to estimate the risk of covid- 19 complications aiding in the accurate prognosis. improved scoring systems by combining multiple variables allow clinicians to optimize the allocation of limited medical resources for the best clinical outcomes. methods: published articles were selected that assessed the relationship between clinical, para-clinical, demographics, comorbidities, and outcomes of covid-19 patients in a systematic review to develop a novel scoring system. results: in this study, by summarizing the results of 97 studies and the experiences of experts, prognostic factors were determined and divided into four groups: age, clinical symptoms, comorbidities, and tests. twenty-three published articles met the selection criteria and were included in this study. accordingly, by the opinion of experts, prognostic factors were categorized into four main groups: age, clinical symptoms, co-morbidities, and specific test results. conclusions: this novel scoring model helps physicians to early identify critical covid-19 patients and optimize patientmanagement based on recent comprehensive data of the most significant predictive factors.