Diagnostic accuracy of aptamer-based biosensors for the detection of SARS-CoV-2 compared to RT-PCR: a systematic review and meta-analysis

Aptamer-based biosensors present a potential alternative for the detection of SARS-CoV-2, with numerous studies demonstrating their diagnostic accuracy. A systematic review and meta-analysis are needed for evidence synthesis. A comprehensive literature search was conducted across PubMed, Scopus, Sci...

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Main Authors: Mohammed, Isa Haruna, Aliyu, Basiru, Sharel, Peisan E., Amin-Nordin, Syafinaz, Chee, Hui Yee
Format: Article
Language:English
Published: Elsevier 2025
Online Access:http://psasir.upm.edu.my/id/eprint/121233/
http://psasir.upm.edu.my/id/eprint/121233/1/121233.pdf
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author Mohammed, Isa Haruna
Aliyu, Basiru
Sharel, Peisan E.
Amin-Nordin, Syafinaz
Chee, Hui Yee
author_facet Mohammed, Isa Haruna
Aliyu, Basiru
Sharel, Peisan E.
Amin-Nordin, Syafinaz
Chee, Hui Yee
author_sort Mohammed, Isa Haruna
building UPM Institutional Repository
collection Online Access
description Aptamer-based biosensors present a potential alternative for the detection of SARS-CoV-2, with numerous studies demonstrating their diagnostic accuracy. A systematic review and meta-analysis are needed for evidence synthesis. A comprehensive literature search was conducted across PubMed, Scopus, Science direct, MEDLINE, as well as Embase (via Ovid) to pool articles aiming at evaluating the diagnostic accuracy of Aptamer-based biosensors in the detection of COVID-19. Using Meta-DiSc software, data from fourteen (14) included studies involving a total of 8082 clinical samples were pooled and analysed to generate a summary of the sensitivity and specificity, diagnostic odds ratio (DOR), positive and negative likelihood ratio (PLR, NLR), as well as area under the curve (AUC) of receiver operating characteristic (SROC) curve for aptamer-based electrochemical, Surface Enhanced Raman Scattering (SERS), and Enzyme Linked Oligonucleotide Assay (ELONA) and fluorescence sensing platforms. Among these platforms, the SERS demonstrated the highest diagnostic performance, with an overall 0.97 (95 % CI: 0.91–0.99) sensitivity, 0.98 (95 % CI:0.95–1.00) specificity, 766.63 (95 % CI: 133.85–4391.03) DOR and 0.98 AUC, a PLR of 33.09 (8.53–128.36) and a NLR of 0.04 (0.02–0.12). These findings underscore the high sensitivity of the SERS platform in detecting SARS-CoV-2 infection. However, the limited number of studies included in each sensing platform used for the meta-analysis restricts any generalization from the pooled data.
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spelling upm-1212332025-10-29T07:27:50Z http://psasir.upm.edu.my/id/eprint/121233/ Diagnostic accuracy of aptamer-based biosensors for the detection of SARS-CoV-2 compared to RT-PCR: a systematic review and meta-analysis Mohammed, Isa Haruna Aliyu, Basiru Sharel, Peisan E. Amin-Nordin, Syafinaz Chee, Hui Yee Aptamer-based biosensors present a potential alternative for the detection of SARS-CoV-2, with numerous studies demonstrating their diagnostic accuracy. A systematic review and meta-analysis are needed for evidence synthesis. A comprehensive literature search was conducted across PubMed, Scopus, Science direct, MEDLINE, as well as Embase (via Ovid) to pool articles aiming at evaluating the diagnostic accuracy of Aptamer-based biosensors in the detection of COVID-19. Using Meta-DiSc software, data from fourteen (14) included studies involving a total of 8082 clinical samples were pooled and analysed to generate a summary of the sensitivity and specificity, diagnostic odds ratio (DOR), positive and negative likelihood ratio (PLR, NLR), as well as area under the curve (AUC) of receiver operating characteristic (SROC) curve for aptamer-based electrochemical, Surface Enhanced Raman Scattering (SERS), and Enzyme Linked Oligonucleotide Assay (ELONA) and fluorescence sensing platforms. Among these platforms, the SERS demonstrated the highest diagnostic performance, with an overall 0.97 (95 % CI: 0.91–0.99) sensitivity, 0.98 (95 % CI:0.95–1.00) specificity, 766.63 (95 % CI: 133.85–4391.03) DOR and 0.98 AUC, a PLR of 33.09 (8.53–128.36) and a NLR of 0.04 (0.02–0.12). These findings underscore the high sensitivity of the SERS platform in detecting SARS-CoV-2 infection. However, the limited number of studies included in each sensing platform used for the meta-analysis restricts any generalization from the pooled data. Elsevier 2025 Article PeerReviewed text en cc_by_nc_4 http://psasir.upm.edu.my/id/eprint/121233/1/121233.pdf Mohammed, Isa Haruna and Aliyu, Basiru and Sharel, Peisan E. and Amin-Nordin, Syafinaz and Chee, Hui Yee (2025) Diagnostic accuracy of aptamer-based biosensors for the detection of SARS-CoV-2 compared to RT-PCR: a systematic review and meta-analysis. Heliyon, 11 (10). art. no. e43362. ISSN 2405-8440 https://linkinghub.elsevier.com/retrieve/pii/S2405844025017463 10.1016/j.heliyon.2025.e43362
spellingShingle Mohammed, Isa Haruna
Aliyu, Basiru
Sharel, Peisan E.
Amin-Nordin, Syafinaz
Chee, Hui Yee
Diagnostic accuracy of aptamer-based biosensors for the detection of SARS-CoV-2 compared to RT-PCR: a systematic review and meta-analysis
title Diagnostic accuracy of aptamer-based biosensors for the detection of SARS-CoV-2 compared to RT-PCR: a systematic review and meta-analysis
title_full Diagnostic accuracy of aptamer-based biosensors for the detection of SARS-CoV-2 compared to RT-PCR: a systematic review and meta-analysis
title_fullStr Diagnostic accuracy of aptamer-based biosensors for the detection of SARS-CoV-2 compared to RT-PCR: a systematic review and meta-analysis
title_full_unstemmed Diagnostic accuracy of aptamer-based biosensors for the detection of SARS-CoV-2 compared to RT-PCR: a systematic review and meta-analysis
title_short Diagnostic accuracy of aptamer-based biosensors for the detection of SARS-CoV-2 compared to RT-PCR: a systematic review and meta-analysis
title_sort diagnostic accuracy of aptamer-based biosensors for the detection of sars-cov-2 compared to rt-pcr: a systematic review and meta-analysis
url http://psasir.upm.edu.my/id/eprint/121233/
http://psasir.upm.edu.my/id/eprint/121233/
http://psasir.upm.edu.my/id/eprint/121233/
http://psasir.upm.edu.my/id/eprint/121233/1/121233.pdf