{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,8]],"date-time":"2026-03-08T16:39:49Z","timestamp":1772987989721,"version":"3.50.1"},"reference-count":50,"publisher":"Wiley","issue":"4","license":[{"start":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T00:00:00Z","timestamp":1769904000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"},{"start":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T00:00:00Z","timestamp":1769904000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/501100001713","name":"European and Developing Countries Clinical Trials Partnership","doi-asserted-by":"publisher","award":["RIA2020EF\u20103000"],"award-info":[{"award-number":["RIA2020EF\u20103000"]}],"id":[{"id":"10.13039\/501100001713","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Clinical Laboratory Analysis"],"published-print":{"date-parts":[[2026,2]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>The scale\u2010up of molecular assays for diagnosing emerging pathogens has increased in low\u2010and\u2010middle\u2010income countries (LMICs) since the advent of COVID\u201019. We herein evaluated the diagnostic concordance of three different assays for SARS\u2010CoV\u20102 in Cameroon.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>A laboratory\u2010based comparative study was performed on nasopharyngeal samples collected between March\u20102020 to March\u20102023 from the biobank of Chantal Biya International Reference Centre (CIRCB), Yaound\u00e9\u2010Cameroon. Samples were analyzed using DaAn Gene (N\/ORF1ab\u2010genes), ThermoFisher (N\/ORF1ab\/S\u2010genes), and GeneXpert (N2\/E\u2010genes). Validated cycle thresholds (CT) for positivity were CT\u2009&lt;\u200937 for DaAn Gene\/ThermoFisher and CT\u2009&lt;\u200940 for GeneXpert. Cohen's Kappa coefficient evaluated diagnostic concordance with DaAn Gene as reference.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      We analysed 249 samples (55.8% males, median\u2010age [IQR], 36 [27\u201350] years including 21.3% symptomatic participants). Overall positivity rates (median [IQR]) were 55.0% (CT: 30.6 [23.1\u201335.5]); 53.4% (CT: 26.6 [21.2\u201330.9]); 22.1% (CT: 32.7 [26.9\u201336.1]) for GeneXpert, DaAn Gene and ThermoFisher respectively. GeneXpert showed stronger concordance with DaAn Gene (83.1%;\n                      <jats:italic>k<\/jats:italic>\n                      \u2009=\u20090.66, 95% CI: 0.57\u20130.75) than ThermoFisher (67.9%;\n                      <jats:italic>k<\/jats:italic>\n                      \u2009=\u20090.38, 95% CI: 0.29\u20130.47). At validated thresholds, GeneXpert showed higher positive agreement with DaAn Gene (85.0%, 113\/133) as compared to ThermoFisher (41.3%, 55\/133), while maintaining comparable negative agreement (81.0% [GeneXpert] and 98.3% [ThermoFisher]). At low CTs (&lt;\u200920) however, positive agreement with DaAn Gene was high for GeneXpert (100%, 15\/15) and ThermoFisher (93.3%, 14\/15).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>GeneXpert exhibits superiority over ThermoFisher in detecting cases of COVID\u201019. As expected, agreement between two\u2010 and three\u2010genes assays at CT\u2009&lt;\u200920 was excellent, suggesting interoperability of these platforms during outbreaks for high viral loads cases. However, two\u2010genes assays may be decisive to guide decision\u2010making for effective public health response while facing intermediate to low\u2010level viral loads in LMICs.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/jcla.70174","type":"journal-article","created":{"date-parts":[[2026,2,2]],"date-time":"2026-02-02T04:55:48Z","timestamp":1770008148000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Diagnostic Concordance of Two\u2010 and Three\u2010Gene\n                    <scp>SARS<\/scp>\n                    \u2010\n                    <scp>CoV<\/scp>\n                    \u20102 Molecular Assays in Cameroon: Implications for Efficient Pandemic Response in Low\u2010 and Middle\u2010Income Countries"],"prefix":"10.1002","volume":"40","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0733-5730","authenticated-orcid":false,"given":"Aurelie Minelle 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