PMID- 32802146
OWN - NLM
STAT- MEDLINE
DCOM- 20200831
LR  - 20201218
IS  - 1748-6718 (Electronic)
IS  - 1748-670X (Print)
IS  - 1748-670X (Linking)
VI  - 2020
DP  - 2020
TI  - Capacity Evaluation of Diagnostic Tests For COVID-19 Using Multicriteria 
      Decision-Making Techniques.
PG  - 1560250
LID - 10.1155/2020/1560250 [doi]
LID - 1560250
AB  - 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.
CI  - Copyright (c) 2020 Murat Sayan et al.
FAU - Sayan, Murat
AU  - Sayan M
AD  - Faculty of Medicine, Clinical Laboratory, PCR Unit, Kocaeli University, Kocaeli, 
      Turkey.
AD  - DESAM Institute, Near East University, Nicosia/TRNC, Mersin-10, 99138, Turkey.
FAU - Sarigul Yildirim, Figen
AU  - Sarigul Yildirim F
AD  - Health Science University, Antalya Education and Research Hospital, Department of 
      Infectious Diseases and Clinical Microbiology, Antalya 07050, Turkey.
FAU - Sanlidag, Tamer
AU  - Sanlidag T
AD  - DESAM Institute, Near East University, Nicosia/TRNC, Mersin-10, 99138, Turkey.
AD  - Department of Medical Microbiology, Manisa Celal Bayar University, Manisa, 
      Turkey.
FAU - Uzun, Berna
AU  - Uzun B
AD  - DESAM Institute, Near East University, Nicosia/TRNC, Mersin-10, 99138, Turkey.
AD  - Department of Mathematics, Near East University, Nicosia/TRNC, Mersin-10, 99138, 
      Turkey.
FAU - Uzun Ozsahin, Dilber
AU  - Uzun Ozsahin D
AUID- ORCID: 0000-0002-2498-9744
AD  - DESAM Institute, Near East University, Nicosia/TRNC, Mersin-10, 99138, Turkey.
AD  - Department of Biomedical Engineering, Faculty of Engineering, Near East 
      University, Nicosia/TRNC, Mersin-10, 99138, Turkey.
FAU - Ozsahin, Ilker
AU  - Ozsahin I
AUID- ORCID: 0000-0002-3141-6805
AD  - DESAM Institute, Near East University, Nicosia/TRNC, Mersin-10, 99138, Turkey.
AD  - Department of Biomedical Engineering, Faculty of Engineering, Near East 
      University, Nicosia/TRNC, Mersin-10, 99138, Turkey.
LA  - eng
PT  - Journal Article
DEP - 20200806
PL  - United States
TA  - Comput Math Methods Med
JT  - Computational and mathematical methods in medicine
JID - 101277751
RN  - 0 (Immunoglobulin G)
SB  - IM
MH  - Betacoronavirus
MH  - COVID-19
MH  - COVID-19 Testing
MH  - Clinical Laboratory Techniques/*methods
MH  - Coronavirus Infections/*diagnosis
MH  - *Decision Making
MH  - Fuzzy Logic
MH  - Humans
MH  - Immunoglobulin G
MH  - Models, Statistical
MH  - Pandemics
MH  - Pneumonia, Viral/*diagnosis
MH  - Program Evaluation
MH  - Reproducibility of Results
MH  - SARS-CoV-2
MH  - Sensitivity and Specificity
MH  - Tomography, X-Ray Computed
PMC - PMC7411452
COIS- The authors declare that there is no conflict of interest regarding the 
      publication of this paper.
EDAT- 2020/08/18 06:00
MHDA- 2020/09/01 06:00
PMCR- 2020/08/06
CRDT- 2020/08/18 06:00
PHST- 2020/05/11 00:00 [received]
PHST- 2020/06/22 00:00 [revised]
PHST- 2020/07/07 00:00 [accepted]
PHST- 2020/08/18 06:00 [entrez]
PHST- 2020/08/18 06:00 [pubmed]
PHST- 2020/09/01 06:00 [medline]
PHST- 2020/08/06 00:00 [pmc-release]
AID - 10.1155/2020/1560250 [doi]
PST - epublish
SO  - Comput Math Methods Med. 2020 Aug 6;2020:1560250. doi: 10.1155/2020/1560250. 
      eCollection 2020.