Capacity Evaluation of Diagnostic Tests for COVID-19 Using Multicriteria Decision-Making Techniques
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Date
2020
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Abstract
In December 2019, cases of pneumonia were detected in Wuhan, China, which were caused by the highly contagious coronavirus. This study is aimed at comparing the confusion regarding the selection of effective diagnostic methods to make a mutual comparison among existing SARS-CoV-2 diagnostic tests and at determining the most effective one. Based on available published evidence and clinical practice, diagnostic tests of coronavirus disease (COVID-19) were evaluated by multi-criteria decision-making (MCDM) methods, namely, fuzzy preference ranking organization method for enrichment evaluation (fuzzy PROMETHEE) and fuzzy technique for order of preference by similarity to ideal solution (fuzzy TOPSIS). Computerized tomography of chest (chest CT), the detection of viral nucleic acid by polymerase chain reaction, cell culture, CoV-19 antigen detection, CoV-19 antibody IgM, CoV-19 antibody IgG, and chest X-ray were evaluated by linguistic fuzzy scale to compare among the diagnostic tests. This scale consists of selected parameters that possessed different weights which were determined by the experts' opinions of the field. The results of our study with both proposed MCDM methods indicated that the most effective diagnosis method of COVID-19 was chest CT. It is interesting to note that the methods that are consistently used in the diagnosis of viral diseases were ranked in second place for the diagnosis of COVID-19. However, each country should use appropriate diagnostic solutions according to its own resources. Our findings also show which diagnostic systems can be used in combination. © 2020 Murat Sayan et al.
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Keywords
Betacoronavirus , Clinical Laboratory Techniques , Coronavirus Infections , Decision Making , Fuzzy Logic , Humans , Immunoglobulin G , Models, Statistical , Pandemics , Pneumonia, Viral , Program Evaluation , Reproducibility of Results , Sensitivity and Specificity , Tomography, X-Ray Computed , Antibodies , Cell culture , Chemical detection , Computerized tomography , Decision making , Diseases , Polymerase chain reaction , Scales (weighing instruments) , immunoglobulin G , immunoglobulin M , virus RNA , immunoglobulin G , Antigen detections , Clinical practices , Diagnostic methods , Diagnostic systems , Enrichment evaluation , Fuzzy preferences , Multi-criteria decision making , Multi-criteria decision making technique , antigen detection , Article , cell culture , clinical evaluation , clinical practice , comparative effectiveness , computer assisted tomography , coronavirus disease 2019 , diagnostic test , diagnostic test accuracy study , evidence based practice , false negative result , false positive result , health care cost , intermethod comparison , multicriteria decision analysis , nonhuman , real time reverse transcription polymerase chain reaction , sensitivity and specificity , Severe acute respiratory syndrome coronavirus 2 , thorax radiography , throat culture , virus diagnosis , Betacoronavirus , Coronavirus infection , decision making , fuzzy logic , human , laboratory technique , pandemic , procedures , program evaluation , reproducibility , statistical model , virus pneumonia , x-ray computed tomography , Diagnosis