03061nas a2200325 4500000000100000008004100001260001200042653002500054653001400079653002700093653002700120653003000147100001200177700001300189700001200202700001200214700001500226700001500241700001200256700001300268700001100281700001200292700001100304245015200315856009400467300000900561490000700570520214400577022001402721 2024 d c01/202410aMycobacterium leprae10adiagnosis10aMultibacillary leprosy10aPaucibacillary leprosy10apolymerase chain reaction1 aSilva M1 aBrasil T1 aSilva C1 aFrota C1 aSardinha D1 aFigueira L1 aNeves K1 aSantos E1 aLima K1 aGhisi N1 aLima L00aComparative analysis of the leprosy detection rate regarding its clinical spectrum through PCR using the gene: a scientometrics and meta-analysis. uhttps://www.frontiersin.org/journals/microbiology/articles/10.3389/fmicb.2024.1497319/pdf a1-160 v153 a
Background: Leprosy is a chronic and disabling infectious disease caused by . It has a wide clinical spectrum and is operationally classified into paucibacillary (PB) and multibacillary (MB) cases. There is evidence that the gene can be used in Polymerase Chain Reaction (PCR) for complementary detection with high sensitivity and specificity. However, there is no literature convention on its diagnostic correspondence regarding the particular operational classification of the disease. This study aimed to correlate, through a meta-analysis, the detection rate of leprosy between the PCR method with the gene in the clinical forms PB and MB in relation to confirmed cases.
Methods: This is a systematic review and meta-analysis study conducted according to the PRISMA 2020 guidelines, using the search descriptors with "AND": "Leprosy"; "Polymerase Chain Reaction"; in the PUBMED, SciELO, LILACS, and Science Direct databases. The search was limited to original observational articles in Portuguese, English, or Spanish, with no defined time frame. The methodological quality assessment of the selected articles was performed using the JBI checklists. A scientometric approach to the article using used the VOS Viewer and Scimago Graphica software. The meta-analysis was conducted using Comprehensive Meta-Analyses software, under Pearson's Correlation effect test and fixed effect model and subgroup analysis concerning the type of sample analyzed.
Results: The study was significant from the perspective of the paucibacillary group (Clinical biopsy: -0.45 [95% CI= -0.63 - -0.22], < 0.001/ Slit smear skin: -0.52 [95% CI= -0.65 - -0.36], < 0.001 / Overall: -0.50 [95% CI= -0.61 - -0.37], < 0.001). The PCR diagnostic method for the16S rRNAgene ofM. lepraehas low viability and diagnostic sensitivity in both clinical biopsy samples and leprosy skin smears.
Conclusion: This implies little validation of it as a PCR target gene for diagnosing the disease, highlighting limitations in the actual technique.
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