Ideal predictor studies

Abstract

We have read the article titled “Evaluation of Covid-19 cases that applied to the hospital at the first peak of the pandemic” prepared by Akdoğan et al. with great interest. Firstly, we thank authors for their research from Turkey that aims create an alternative diagnosis method by using some laboratory parameters in the early phase of COVID-19. Although the study resulted in negative results, these studies of academics from Turkey for humanity at a time when the whole world was affected by the pandemic are commendable. Secondly, we thank the authors and the editorial board for their courage in publishing this negative article that is informative and successful manuscript. As mentioned in an article published in nature, highlighting negative results will improve science. We also would like to mention a few important points about ideal predictor studies in the early phase of COVID-19.

Keywords

• COVID-19
• SARS-CoV-2
• Coronavirus infections

References

1. Akdoğan Ö, Yapar D, Çebi K, et al. Evaluation of Covid-19 cases that applied to the hospital at the first peak of the pandemic. J Exp Clin Med. 2022; 39(1): 7-11.
2. Mehta D. Highlight negative results to improve science. Nature. 2019 Oct 4. doi: 10.1038/d41586-019-02960-3
3. Mutlu H, Sert ET, Kokulu K, Saritas A. Anxiety level in pre-hospital emergency medical services personnel during coronavirus disease-2019 pandemic. Eurasian J Emerg Med 2021; 20:43-48.
4. Eroglu SE, Aksel G, Altunok I, et al. Can Google® trends predict emergency department admissions in pandemic periods? Medicine Science 2021;10(1):111-7.
5. Hu H, Yao N, Qiu Y. Predictive Value of 5 Early Warning Scores for Critical COVID-19 Patients. Disaster Med Public Health Prep. 2020 Sep 9:1-8. doi: 10.1017/dmp.2020.324.
6. Özdemir S, Akça HŞ, Algın A, Altunok İ, Eroğlu SE. Effectiveness of the rapid emergency medicine score and the rapid acute physiology score in prognosticating mortality in patients presenting to the emergency department with COVID-19 symptoms. Am J Emerg Med. 2021;49:259-264. doi:10.1016/j.ajem.2021.06.020
7. Akman C, Daş M, Bardakçı O, Akdur G, Akdur O. Evaluation of the factors predicting the need for intensive care of patients with COVID-19 aged above 65 years: data from an emergency department in Turkey. Rev Assoc Med Bras (1992). 2021 Oct;67(10):1454-1460. doi: 10.1590/1806-9282.20210653.
8. Villanueva Rábano R, Martín-Rodríguez F, López-Izquierdo R. National Early Warning Score 2 Lactate (NEWS2-L) in Predicting Early Clinical Deterioration in Patients with Dyspnoea in Prehospital Care. Invest Educ Enferm. 2021 Oct;39(3). doi: 10.17533/udea.iee.v39n3e05.

9. Akça HŞ, Algın A, Özdemir S, Sevimli H, Kokulu K, Eroğlu SE. Comparison of the efficacy of PSI, CURB-65, CALL and BCRSS in predicting prognosis and mortality in COVID-19 patients. J Exp Clin Med. 2021; 38(4): 434-43.
10. Özdemir S, Eroğlu SE, Algın A, et al. Analysis of laboratory parameters in patients with COVID-19: Experiences from a pandemic hospital. Ann Clin Anal Med. 2021;12 (Supp 4):518-523. https://doi.org/10.4328/ACAM.20678
11. Algın A, Özdemir S. Evaluation of The Predictability of Platelet Mass Index for Short-Term Mortality in Patients with COVID 19: A Retrospective Cohort Study. J Contemp Med. 2021; 11(5): 728-733.
12. Özdemir S, Algın A. Evaluation of Hematological Parameters in Predicting Short-Term Mortality for COVID 19 Patients with Gastrointestinal Symptoms: A Case-Control Study. J Contemp Med. 2021; 11(5): 710-714.
13. Weng Z, Chen Q, Li S, et al. ANDC: an early warning score to predict mortality risk for patients with Coronavirus Disease 2019. J Transl Med. 2020 Aug 31;18(1):328. doi: 10.1186/s12967-020-02505-7.
14. Bilge M, Akilli IK, Karaayvaz EB, Yesilova A, Kart Yasar K. Comparison of systemic immune-inflammation index (SII), early warning score (ANDC) and prognostic nutritional index (PNI) in hospitalized patients with malignancy, and their influence on mortality from COVID-19. Infect Agent Cancer. 2021;16(1):60. Published 2021 Sep 15. doi:10.1186/s13027-021-00400-4