Assessing a chip based rapid RTPCR test for SARS CoV-2 detection (TrueNat assay): A diagnostic accuracy study
COVID-19 testing is required before admission of a patient in the hospitals, invasive procedures, major and minor surgeries etc. Real Time Polymerase chain reaction is the gold standard test for the diagnosis, but requires well equipped biosafety laboratory along with trained manpower. In this study...
Gespeichert in:
| Veröffentlicht in: | PloS one 2021-10, Vol.16 (10), p.e0257834-e0257834 |
|---|---|
| Hauptverfasser: | , , , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | e0257834 |
|---|---|
| container_issue | 10 |
| container_start_page | e0257834 |
| container_title | PloS one |
| container_volume | 16 |
| creator | Ghoshal, Ujjala Garg, Atul Vasanth, Shruthi Arya, Akshay K Pandey, Ankita Tejan, Nidhi Patel, Vikas Singh, Vikram P |
| description | COVID-19 testing is required before admission of a patient in the hospitals, invasive procedures, major and minor surgeries etc. Real Time Polymerase chain reaction is the gold standard test for the diagnosis, but requires well equipped biosafety laboratory along with trained manpower. In this study we have evaluated the diagnostic accuracy of novel TrueNat molecular assay for detecting SARS CoV-2. TrueNat is a chip-based real time PCR test and works on portable, light weight, battery powered equipment and can be used in remote areas with poor infrastructure. In this study 1807 patients samples were collected for both TrueNat and RTPCR COVID-19 testing during study period. Of these 174 (9.7%) and 174 (15%) were positive by RTPCR and TrueNat respectively and taking results of RTPCR as gold standard TrueNat test showed a sensitivity, specificity and diagnostic accuracy of 69.5, 90.9% and 89.2% respectively. It can be concluded that TrueNat is a simple, easy to use, good rapid molecular diagnostic test for diagnosis of COVID-19 especially in resource limited settings and will prove to be a game changer of molecular diagnostics in future. |
| doi_str_mv | 10.1371/journal.pone.0257834 |
| format | Article |
| fullrecord | <record><control><sourceid>gale_plos_</sourceid><recordid>TN_cdi_plos_journals_2581754424</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A679440077</galeid><doaj_id>oai_doaj_org_article_1098ab32d31441969ad4ae535da8e052</doaj_id><sourcerecordid>A679440077</sourcerecordid><originalsourceid>FETCH-LOGICAL-c570t-7c614d145f5db2b5e9cb800cfdc7350bcf74d4b3ad0daf5dc619e405012aa5813</originalsourceid><addsrcrecordid>eNptkluL1DAUx4so7kW_gWDAl92Hjrn24oNQBi8Li8rs6Gs4TdJuhrapSSvMtzezU8WRJQ8J5_zyP-d_OEnyiuAVYTl5u3OzH6BbjW4wK0xFXjD-JDknJaNpRjF7-s_7LLkIYYexYEWWPU_OGM84Z4ydJ30VggnBDi0CpO7tiGoIRiMPo9Vos_223qDJhAk1zqO7anOH1u5HSpE2k1GTdQO62vrZfIEJQQiwv36HKqQttIMLk1UIlJo9qD0K06z3L5JnDXTBvFzuy-T7xw_b9ef09uunm3V1myqR4ynNVUa4Jlw0Qte0FqZUdYGxarTKmcC1anKuec1AYw2RiXhpOBaYUABREHaZvD7qjp0LcplUkDTmcsE55ZG4ORLawU6O3vbg99KBlQ8B51sJPhrojCS4LKBmVDPCOSmzEjQHI5jQUBgsaNR6v1Sb695oZYbJQ3ciepoZ7L1s3S9ZCMIKUUSBq0XAu59znLbsbVCm62Awbn7omxLCMn5A3_yHPu5uoVqIBuzQuFhXHURlleUl5xjneaRWj1DxaNNbFdeqsTF-8oEfPyjvQvCm-euRYHlYyj_NyMNSymUp2W8wkNNM</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2581754424</pqid></control><display><type>article</type><title>Assessing a chip based rapid RTPCR test for SARS CoV-2 detection (TrueNat assay): A diagnostic accuracy study</title><source>DOAJ Directory of Open Access Journals</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>Public Library of Science (PLoS)</source><source>PubMed Central</source><source>Free Full-Text Journals in Chemistry</source><creator>Ghoshal, Ujjala ; Garg, Atul ; Vasanth, Shruthi ; Arya, Akshay K ; Pandey, Ankita ; Tejan, Nidhi ; Patel, Vikas ; Singh, Vikram P</creator><contributor>Hasnain, Seyed Ehtesham</contributor><creatorcontrib>Ghoshal, Ujjala ; Garg, Atul ; Vasanth, Shruthi ; Arya, Akshay K ; Pandey, Ankita ; Tejan, Nidhi ; Patel, Vikas ; Singh, Vikram P ; Hasnain, Seyed Ehtesham</creatorcontrib><description>COVID-19 testing is required before admission of a patient in the hospitals, invasive procedures, major and minor surgeries etc. Real Time Polymerase chain reaction is the gold standard test for the diagnosis, but requires well equipped biosafety laboratory along with trained manpower. In this study we have evaluated the diagnostic accuracy of novel TrueNat molecular assay for detecting SARS CoV-2. TrueNat is a chip-based real time PCR test and works on portable, light weight, battery powered equipment and can be used in remote areas with poor infrastructure. In this study 1807 patients samples were collected for both TrueNat and RTPCR COVID-19 testing during study period. Of these 174 (9.7%) and 174 (15%) were positive by RTPCR and TrueNat respectively and taking results of RTPCR as gold standard TrueNat test showed a sensitivity, specificity and diagnostic accuracy of 69.5, 90.9% and 89.2% respectively. It can be concluded that TrueNat is a simple, easy to use, good rapid molecular diagnostic test for diagnosis of COVID-19 especially in resource limited settings and will prove to be a game changer of molecular diagnostics in future.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0257834</identifier><identifier>PMID: 34644333</identifier><language>eng</language><publisher>San Francisco: Public Library of Science</publisher><subject>Accuracy ; Automation ; Biology and Life Sciences ; Coronaviruses ; COVID-19 ; COVID-19 diagnostic tests ; Diagnosis ; Diagnostic systems ; Engineering and Technology ; Evaluation ; Influenza ; Laboratories ; Manpower ; Medical diagnosis ; Medical research ; Medical tests ; Medicine and Health Sciences ; Methods ; Pandemics ; Patients ; Polymerase chain reaction ; Portable equipment ; Real time ; Research and Analysis Methods ; RNA polymerase ; Sensitivity analysis ; Severe acute respiratory syndrome ; Severe acute respiratory syndrome coronavirus 2 ; Software ; Statistical analysis ; Thermal cycling ; Tropical diseases ; Tuberculosis ; Weight reduction ; Work stations</subject><ispartof>PloS one, 2021-10, Vol.16 (10), p.e0257834-e0257834</ispartof><rights>COPYRIGHT 2021 Public Library of Science</rights><rights>2021 Ghoshal et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2021 Ghoshal et al 2021 Ghoshal et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c570t-7c614d145f5db2b5e9cb800cfdc7350bcf74d4b3ad0daf5dc619e405012aa5813</citedby><cites>FETCH-LOGICAL-c570t-7c614d145f5db2b5e9cb800cfdc7350bcf74d4b3ad0daf5dc619e405012aa5813</cites><orcidid>0000-0002-7736-5644</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8513858/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8513858/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,724,777,781,861,882,2096,2915,23847,27905,27906,53772,53774,79349,79350</link.rule.ids></links><search><contributor>Hasnain, Seyed Ehtesham</contributor><creatorcontrib>Ghoshal, Ujjala</creatorcontrib><creatorcontrib>Garg, Atul</creatorcontrib><creatorcontrib>Vasanth, Shruthi</creatorcontrib><creatorcontrib>Arya, Akshay K</creatorcontrib><creatorcontrib>Pandey, Ankita</creatorcontrib><creatorcontrib>Tejan, Nidhi</creatorcontrib><creatorcontrib>Patel, Vikas</creatorcontrib><creatorcontrib>Singh, Vikram P</creatorcontrib><title>Assessing a chip based rapid RTPCR test for SARS CoV-2 detection (TrueNat assay): A diagnostic accuracy study</title><title>PloS one</title><description>COVID-19 testing is required before admission of a patient in the hospitals, invasive procedures, major and minor surgeries etc. Real Time Polymerase chain reaction is the gold standard test for the diagnosis, but requires well equipped biosafety laboratory along with trained manpower. In this study we have evaluated the diagnostic accuracy of novel TrueNat molecular assay for detecting SARS CoV-2. TrueNat is a chip-based real time PCR test and works on portable, light weight, battery powered equipment and can be used in remote areas with poor infrastructure. In this study 1807 patients samples were collected for both TrueNat and RTPCR COVID-19 testing during study period. Of these 174 (9.7%) and 174 (15%) were positive by RTPCR and TrueNat respectively and taking results of RTPCR as gold standard TrueNat test showed a sensitivity, specificity and diagnostic accuracy of 69.5, 90.9% and 89.2% respectively. It can be concluded that TrueNat is a simple, easy to use, good rapid molecular diagnostic test for diagnosis of COVID-19 especially in resource limited settings and will prove to be a game changer of molecular diagnostics in future.</description><subject>Accuracy</subject><subject>Automation</subject><subject>Biology and Life Sciences</subject><subject>Coronaviruses</subject><subject>COVID-19</subject><subject>COVID-19 diagnostic tests</subject><subject>Diagnosis</subject><subject>Diagnostic systems</subject><subject>Engineering and Technology</subject><subject>Evaluation</subject><subject>Influenza</subject><subject>Laboratories</subject><subject>Manpower</subject><subject>Medical diagnosis</subject><subject>Medical research</subject><subject>Medical tests</subject><subject>Medicine and Health Sciences</subject><subject>Methods</subject><subject>Pandemics</subject><subject>Patients</subject><subject>Polymerase chain reaction</subject><subject>Portable equipment</subject><subject>Real time</subject><subject>Research and Analysis Methods</subject><subject>RNA polymerase</subject><subject>Sensitivity analysis</subject><subject>Severe acute respiratory syndrome</subject><subject>Severe acute respiratory syndrome coronavirus 2</subject><subject>Software</subject><subject>Statistical analysis</subject><subject>Thermal cycling</subject><subject>Tropical diseases</subject><subject>Tuberculosis</subject><subject>Weight reduction</subject><subject>Work stations</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>DOA</sourceid><recordid>eNptkluL1DAUx4so7kW_gWDAl92Hjrn24oNQBi8Li8rs6Gs4TdJuhrapSSvMtzezU8WRJQ8J5_zyP-d_OEnyiuAVYTl5u3OzH6BbjW4wK0xFXjD-JDknJaNpRjF7-s_7LLkIYYexYEWWPU_OGM84Z4ydJ30VggnBDi0CpO7tiGoIRiMPo9Vos_223qDJhAk1zqO7anOH1u5HSpE2k1GTdQO62vrZfIEJQQiwv36HKqQttIMLk1UIlJo9qD0K06z3L5JnDXTBvFzuy-T7xw_b9ef09uunm3V1myqR4ynNVUa4Jlw0Qte0FqZUdYGxarTKmcC1anKuec1AYw2RiXhpOBaYUABREHaZvD7qjp0LcplUkDTmcsE55ZG4ORLawU6O3vbg99KBlQ8B51sJPhrojCS4LKBmVDPCOSmzEjQHI5jQUBgsaNR6v1Sb695oZYbJQ3ciepoZ7L1s3S9ZCMIKUUSBq0XAu59znLbsbVCm62Awbn7omxLCMn5A3_yHPu5uoVqIBuzQuFhXHURlleUl5xjneaRWj1DxaNNbFdeqsTF-8oEfPyjvQvCm-euRYHlYyj_NyMNSymUp2W8wkNNM</recordid><startdate>20211013</startdate><enddate>20211013</enddate><creator>Ghoshal, Ujjala</creator><creator>Garg, Atul</creator><creator>Vasanth, Shruthi</creator><creator>Arya, Akshay K</creator><creator>Pandey, Ankita</creator><creator>Tejan, Nidhi</creator><creator>Patel, Vikas</creator><creator>Singh, Vikram P</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-7736-5644</orcidid></search><sort><creationdate>20211013</creationdate><title>Assessing a chip based rapid RTPCR test for SARS CoV-2 detection (TrueNat assay): A diagnostic accuracy study</title><author>Ghoshal, Ujjala ; Garg, Atul ; Vasanth, Shruthi ; Arya, Akshay K ; Pandey, Ankita ; Tejan, Nidhi ; Patel, Vikas ; Singh, Vikram P</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c570t-7c614d145f5db2b5e9cb800cfdc7350bcf74d4b3ad0daf5dc619e405012aa5813</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Accuracy</topic><topic>Automation</topic><topic>Biology and Life Sciences</topic><topic>Coronaviruses</topic><topic>COVID-19</topic><topic>COVID-19 diagnostic tests</topic><topic>Diagnosis</topic><topic>Diagnostic systems</topic><topic>Engineering and Technology</topic><topic>Evaluation</topic><topic>Influenza</topic><topic>Laboratories</topic><topic>Manpower</topic><topic>Medical diagnosis</topic><topic>Medical research</topic><topic>Medical tests</topic><topic>Medicine and Health Sciences</topic><topic>Methods</topic><topic>Pandemics</topic><topic>Patients</topic><topic>Polymerase chain reaction</topic><topic>Portable equipment</topic><topic>Real time</topic><topic>Research and Analysis Methods</topic><topic>RNA polymerase</topic><topic>Sensitivity analysis</topic><topic>Severe acute respiratory syndrome</topic><topic>Severe acute respiratory syndrome coronavirus 2</topic><topic>Software</topic><topic>Statistical analysis</topic><topic>Thermal cycling</topic><topic>Tropical diseases</topic><topic>Tuberculosis</topic><topic>Weight reduction</topic><topic>Work stations</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ghoshal, Ujjala</creatorcontrib><creatorcontrib>Garg, Atul</creatorcontrib><creatorcontrib>Vasanth, Shruthi</creatorcontrib><creatorcontrib>Arya, Akshay K</creatorcontrib><creatorcontrib>Pandey, Ankita</creatorcontrib><creatorcontrib>Tejan, Nidhi</creatorcontrib><creatorcontrib>Patel, Vikas</creatorcontrib><creatorcontrib>Singh, Vikram P</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Materials Science Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ghoshal, Ujjala</au><au>Garg, Atul</au><au>Vasanth, Shruthi</au><au>Arya, Akshay K</au><au>Pandey, Ankita</au><au>Tejan, Nidhi</au><au>Patel, Vikas</au><au>Singh, Vikram P</au><au>Hasnain, Seyed Ehtesham</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Assessing a chip based rapid RTPCR test for SARS CoV-2 detection (TrueNat assay): A diagnostic accuracy study</atitle><jtitle>PloS one</jtitle><date>2021-10-13</date><risdate>2021</risdate><volume>16</volume><issue>10</issue><spage>e0257834</spage><epage>e0257834</epage><pages>e0257834-e0257834</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>COVID-19 testing is required before admission of a patient in the hospitals, invasive procedures, major and minor surgeries etc. Real Time Polymerase chain reaction is the gold standard test for the diagnosis, but requires well equipped biosafety laboratory along with trained manpower. In this study we have evaluated the diagnostic accuracy of novel TrueNat molecular assay for detecting SARS CoV-2. TrueNat is a chip-based real time PCR test and works on portable, light weight, battery powered equipment and can be used in remote areas with poor infrastructure. In this study 1807 patients samples were collected for both TrueNat and RTPCR COVID-19 testing during study period. Of these 174 (9.7%) and 174 (15%) were positive by RTPCR and TrueNat respectively and taking results of RTPCR as gold standard TrueNat test showed a sensitivity, specificity and diagnostic accuracy of 69.5, 90.9% and 89.2% respectively. It can be concluded that TrueNat is a simple, easy to use, good rapid molecular diagnostic test for diagnosis of COVID-19 especially in resource limited settings and will prove to be a game changer of molecular diagnostics in future.</abstract><cop>San Francisco</cop><pub>Public Library of Science</pub><pmid>34644333</pmid><doi>10.1371/journal.pone.0257834</doi><orcidid>https://orcid.org/0000-0002-7736-5644</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1932-6203 |
| ispartof | PloS one, 2021-10, Vol.16 (10), p.e0257834-e0257834 |
| issn | 1932-6203 1932-6203 |
| language | eng |
| recordid | cdi_plos_journals_2581754424 |
| source | DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Public Library of Science (PLoS); PubMed Central; Free Full-Text Journals in Chemistry |
| subjects | Accuracy Automation Biology and Life Sciences Coronaviruses COVID-19 COVID-19 diagnostic tests Diagnosis Diagnostic systems Engineering and Technology Evaluation Influenza Laboratories Manpower Medical diagnosis Medical research Medical tests Medicine and Health Sciences Methods Pandemics Patients Polymerase chain reaction Portable equipment Real time Research and Analysis Methods RNA polymerase Sensitivity analysis Severe acute respiratory syndrome Severe acute respiratory syndrome coronavirus 2 Software Statistical analysis Thermal cycling Tropical diseases Tuberculosis Weight reduction Work stations |
| title | Assessing a chip based rapid RTPCR test for SARS CoV-2 detection (TrueNat assay): A diagnostic accuracy study |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-19T11%3A18%3A15IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Assessing%20a%20chip%20based%20rapid%20RTPCR%20test%20for%20SARS%20CoV-2%20detection%20(TrueNat%20assay):%20A%20diagnostic%20accuracy%20study&rft.jtitle=PloS%20one&rft.au=Ghoshal,%20Ujjala&rft.date=2021-10-13&rft.volume=16&rft.issue=10&rft.spage=e0257834&rft.epage=e0257834&rft.pages=e0257834-e0257834&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0257834&rft_dat=%3Cgale_plos_%3EA679440077%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2581754424&rft_id=info:pmid/34644333&rft_galeid=A679440077&rft_doaj_id=oai_doaj_org_article_1098ab32d31441969ad4ae535da8e052&rfr_iscdi=true |