# Severity Scores in SARS-CoV-2 Infection—A Comprehensive Bibliometric Review and Visualization Analysis

## TL;DR

This paper reviews severity scores used to assess risk in SARS-CoV-2 patients and analyzes global research trends.

## Contribution

A comprehensive bibliometric analysis of severity scores for SARS-CoV-2 infection and their performance.

## Key findings

- Multiple severity scores like CURB-54, NEWS, and SOFA were identified for SARS-CoV-2.
- Performance of scores varied by geography and patient characteristics.
- Bibliometric analysis revealed global research trends and collaboration patterns.

## Abstract

Background/Objectives: Discovered in 2019, COVID-19 spread rapidly worldwide, leading from mild forms of the disease to critical forms or death, predominantly among vulnerable patients. Severity scores help clinicians in stratifying the risk of complications and death among patients diagnosed with SARS-CoV-2 infection. Methods: This study aims to identify the severity scores used in this type of infection, while bibliometric analysis carried out provided a comprehensive overview of global research patterns, trends, and cooperation in scientific literature on the chosen topic. Results: We conducted a literature screening to identify severity scores used in SARS-CoV-2 infection. Scores including CURB-54, COVID-GRAM, NEWS, APACHE II, SOFA, qSOFA, CALL, MuLBSTA, ISARIC 4C, and PADUA were identified with different performance indices. Conclusions: There were different results obtained depending on the geographical area of applicability, patient groups analyzed, and individual patient characteristics.