Diagnostic efficiency of RT-LAMP integrated CRISPR-Cas technique for COVID-19: A systematic review and meta-analysis

To address the challenges associated with COVID-19 diagnosis, we need a faster, direct, and more versatile detection method for efficient epidemiological management of the COVID-19 pandemic. RT-qPCR (reverse transcription quantitative real-time Polymerase Chain Reaction) although the most popular diagnostic method suffers from a major drawback of equipment dependency and trained molecular biologists that limits rapid and large-scale screening, particularly in low resource regions. Reverse transcription loop-mediated isothermal amplification (RT-LAMP) is a feasible alternative for RT-qPCR; however, it also suffers from the drawback of false-positive issues. Recently, RT-LAMP has been integrated with the CRISPR-Cas technique to take care of the problems associated with RT-LAMP for COVID-19 diagnosis. In this study, a meta-analysis was conducted using three scientific databases considering the PRISMA guidelines to assess the diagnostic efficiency of RT-LAMP integrated CRISPR-Cas technology. Out of a total of 1286 studies on COVID-19, we identified 15 articles that met our eligibility criteria of using simultaneous RT-LAMP and CRISPR-Cas technique. Our meta-analysis of the included studies revealed that most of the studies were conducted in the USA with the N gene as the most common target and fluorescence-based detection method. The meta-analysis results of all included studies have further revealed a pooled sensitivity value of higher than 85% and a pooled specificity value of 80% with the confidence interval of 95%, respectively, as revealed from the forest plot and SROC curve. The accuracy rate of included studies was also calculated which varied from 77.4% to 100%. Furthermore, the precision of included studies varied from 75% to 100%. Lastly, a quality assessment of bias and applicability was performed based on QUADAS-2. Taken together, combined RT-LAMP and CRISPR-Cas technique could be a potential alternative to RT-qPCR particularly in low resource regions having a high demand for rapid testing.