FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3143031639> ?p ?o ?g. }

• W3143031639 abstract "Introduction: Since the first wave of COVID-19 in Europe, new diagnostic tools using antigen detection and rapid molecular techniques have been developed. Our objective was to elaborate a diagnostic algorithm combining antigen rapid diagnostic tests, automated antigen dosing and rapid molecular tests and to assess its performance under routine conditions. Methods: An analytical performance evaluation of four antigen rapid tests, one automated antigen dosing and one molecular point-of-care test was performed on samples sent to our laboratory for a SARS-CoV-2 reverse transcription PCR. We then established a diagnostic algorithm by approaching median viral loads in target populations and evaluated the limit of detection of each test using the PCR cycle threshold values. A field performance evaluation including a clinical validation and a user-friendliness assessment was then conducted on the antigen rapid tests in point-of-care settings (general practitioners and emergency rooms) for outpatients who were symptomatic for &lt;7 days. Automated antigen dosing was trialed for the screening of asymptomatic inpatients. Results: Our diagnostic algorithm proposed to test recently symptomatic patients using rapid antigen tests, asymptomatic patients using automated tests, and patients requiring immediate admission using molecular point-of-care tests. Accordingly, the conventional reverse transcription PCR was kept as a second line tool. In this setting, antigen rapid tests yielded an overall sensitivity of 83.3% (not significantly different between the four assays) while the use of automated antigen dosing would have spared 93.5% of asymptomatic inpatient screening PCRs. Conclusion: Using tests not considered the “gold standard” for COVID-19 diagnosis on well-defined target populations allowed for the optimization of their intrinsic performances, widening the scale of our testing arsenal while sparing molecular resources for more seriously ill patients." @default.
• W3143031639 created "2021-04-13" @default.
• W3143031639 creator A5000381448 @default.
• W3143031639 creator A5001417199 @default.
• W3143031639 creator A5002148538 @default.
• W3143031639 creator A5002505989 @default.
• W3143031639 creator A5003897368 @default.
• W3143031639 creator A5010070752 @default.
• W3143031639 creator A5029613883 @default.
• W3143031639 creator A5030184920 @default.
• W3143031639 creator A5035285688 @default.
• W3143031639 creator A5047982288 @default.
• W3143031639 creator A5052078209 @default.
• W3143031639 creator A5064113472 @default.
• W3143031639 creator A5066051449 @default.
• W3143031639 creator A5066709301 @default.
• W3143031639 creator A5075228524 @default.
• W3143031639 creator A5083616019 @default.
• W3143031639 creator A5083622309 @default.
• W3143031639 date "2021-04-06" @default.
• W3143031639 modified "2023-10-14" @default.
• W3143031639 title "SARS-CoV-2 Diagnostic Tests: Algorithm and Field Evaluation From the Near Patient Testing to the Automated Diagnostic Platform" @default.
• W3143031639 cites W2953211520 @default.
• W3143031639 cites W3013490518 @default.
• W3143031639 cites W3022149340 @default.
• W3143031639 cites W3026059552 @default.
• W3143031639 cites W3027223127 @default.
• W3143031639 cites W3033661606 @default.
• W3143031639 cites W3041282401 @default.
• W3143031639 cites W3048917590 @default.
• W3143031639 cites W3081491793 @default.
• W3143031639 cites W3090433892 @default.
• W3143031639 cites W3092863233 @default.
• W3143031639 cites W3094648228 @default.
• W3143031639 cites W3095119885 @default.
• W3143031639 cites W3097718377 @default.
• W3143031639 cites W3102935294 @default.
• W3143031639 cites W3104350068 @default.
• W3143031639 cites W3108643339 @default.
• W3143031639 cites W3111103652 @default.
• W3143031639 cites W3130420925 @default.
• W3143031639 doi "https://doi.org/10.3389/fmed.2021.650581" @default.
• W3143031639 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/8055843" @default.
• W3143031639 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/33889587" @default.
• W3143031639 hasPublicationYear "2021" @default.
• W3143031639 type Work @default.
• W3143031639 sameAs 3143031639 @default.
• W3143031639 citedByCount "19" @default.
• W3143031639 countsByYear W31430316392021 @default.
• W3143031639 countsByYear W31430316392022 @default.
• W3143031639 countsByYear W31430316392023 @default.
• W3143031639 crossrefType "journal-article" @default.
• W3143031639 hasAuthorship W3143031639A5000381448 @default.
• W3143031639 hasAuthorship W3143031639A5001417199 @default.
• W3143031639 hasAuthorship W3143031639A5002148538 @default.
• W3143031639 hasAuthorship W3143031639A5002505989 @default.
• W3143031639 hasAuthorship W3143031639A5003897368 @default.
• W3143031639 hasAuthorship W3143031639A5010070752 @default.
• W3143031639 hasAuthorship W3143031639A5029613883 @default.
• W3143031639 hasAuthorship W3143031639A5030184920 @default.
• W3143031639 hasAuthorship W3143031639A5035285688 @default.
• W3143031639 hasAuthorship W3143031639A5047982288 @default.
• W3143031639 hasAuthorship W3143031639A5052078209 @default.
• W3143031639 hasAuthorship W3143031639A5064113472 @default.
• W3143031639 hasAuthorship W3143031639A5066051449 @default.
• W3143031639 hasAuthorship W3143031639A5066709301 @default.
• W3143031639 hasAuthorship W3143031639A5075228524 @default.
• W3143031639 hasAuthorship W3143031639A5083616019 @default.
• W3143031639 hasAuthorship W3143031639A5083622309 @default.
• W3143031639 hasBestOaLocation W31430316391 @default.
• W3143031639 hasConcept C11413529 @default.
• W3143031639 hasConcept C126322002 @default.
• W3143031639 hasConcept C142724271 @default.
• W3143031639 hasConcept C147483822 @default.
• W3143031639 hasConcept C194828623 @default.
• W3143031639 hasConcept C203014093 @default.
• W3143031639 hasConcept C2777288759 @default.
• W3143031639 hasConcept C2777910003 @default.
• W3143031639 hasConcept C40993552 @default.
• W3143031639 hasConcept C41008148 @default.
• W3143031639 hasConcept C51915194 @default.
• W3143031639 hasConcept C64841741 @default.
• W3143031639 hasConcept C71924100 @default.
• W3143031639 hasConcept C82157600 @default.
• W3143031639 hasConceptScore W3143031639C11413529 @default.
• W3143031639 hasConceptScore W3143031639C126322002 @default.
• W3143031639 hasConceptScore W3143031639C142724271 @default.
• W3143031639 hasConceptScore W3143031639C147483822 @default.
• W3143031639 hasConceptScore W3143031639C194828623 @default.
• W3143031639 hasConceptScore W3143031639C203014093 @default.
• W3143031639 hasConceptScore W3143031639C2777288759 @default.
• W3143031639 hasConceptScore W3143031639C2777910003 @default.
• W3143031639 hasConceptScore W3143031639C40993552 @default.
• W3143031639 hasConceptScore W3143031639C41008148 @default.
• W3143031639 hasConceptScore W3143031639C51915194 @default.
• W3143031639 hasConceptScore W3143031639C64841741 @default.
• W3143031639 hasConceptScore W3143031639C71924100 @default.
• W3143031639 hasConceptScore W3143031639C82157600 @default.
• W3143031639 hasLocation W31430316391 @default.
• W3143031639 hasLocation W31430316392 @default.

• next