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Accuracy of mucocutaneous leishmaniasis diagnosis using polymerase chain reaction: systematic literature review and meta-analysis.

Gomes CM, Mazin SC, Santos ER, Cesetti MV, Bächtold GA, Cordeiro JH, Theodoro FC, Damasco Fdos S, Carranza SA, Santos Ade O, Roselino AM, Sampaio RN - Mem. Inst. Oswaldo Cruz (2015)

Bottom Line: This study aimed to assess the ability of polymerase chain reaction (PCR) to identify MCL and to compare these results with clinical research recently published by the authors.The primary reason for accuracy differences was sensitivity.The quality of the collected material and the optimisation of the amplification of genetic material should be prioritised.

View Article: PubMed Central - PubMed

Affiliation: Programa de Pós-Graduação em Clínica Médica.

ABSTRACT
The diagnosis of mucocutaneous leishmaniasis (MCL) is hampered by the absence of a gold standard. An accurate diagnosis is essential because of the high toxicity of the medications for the disease. This study aimed to assess the ability of polymerase chain reaction (PCR) to identify MCL and to compare these results with clinical research recently published by the authors. A systematic literature review based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses: the PRISMA Statement was performed using comprehensive search criteria and communication with the authors. A meta-analysis considering the estimates of the univariate and bivariate models was performed. Specificity near 100% was common among the papers. The primary reason for accuracy differences was sensitivity. The meta-analysis, which was only possible for PCR samples of lesion fragments, revealed a sensitivity of 71% [95% confidence interval (CI) = 0.59; 0.81] and a specificity of 93% (95% CI = 0.83; 0.98) in the bivariate model. The search for measures that could increase the sensitivity of PCR should be encouraged. The quality of the collected material and the optimisation of the amplification of genetic material should be prioritised.

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Related in: MedlinePlus

summary receiving operating characteristics curve (SROC): the relationshipbetween sensitivity and specificity - R(r) software v.3.1.2 (Institute forStatistics and Mathematics of Wirtschaftsuniversität, Austria).
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f04: summary receiving operating characteristics curve (SROC): the relationshipbetween sensitivity and specificity - R(r) software v.3.1.2 (Institute forStatistics and Mathematics of Wirtschaftsuniversität, Austria).

Mentions: The joint estimates of sensitivity and specificity in the univariate and bivariatemodels are presented in Table V and Fig. 3. The area under the receiving operatingcharacteristics (ROC) curve, considering the bivariate model, was estimated at 0.94(Fig. 4).


Accuracy of mucocutaneous leishmaniasis diagnosis using polymerase chain reaction: systematic literature review and meta-analysis.

Gomes CM, Mazin SC, Santos ER, Cesetti MV, Bächtold GA, Cordeiro JH, Theodoro FC, Damasco Fdos S, Carranza SA, Santos Ade O, Roselino AM, Sampaio RN - Mem. Inst. Oswaldo Cruz (2015)

summary receiving operating characteristics curve (SROC): the relationshipbetween sensitivity and specificity - R(r) software v.3.1.2 (Institute forStatistics and Mathematics of Wirtschaftsuniversität, Austria).
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4489445&req=5

f04: summary receiving operating characteristics curve (SROC): the relationshipbetween sensitivity and specificity - R(r) software v.3.1.2 (Institute forStatistics and Mathematics of Wirtschaftsuniversität, Austria).
Mentions: The joint estimates of sensitivity and specificity in the univariate and bivariatemodels are presented in Table V and Fig. 3. The area under the receiving operatingcharacteristics (ROC) curve, considering the bivariate model, was estimated at 0.94(Fig. 4).

Bottom Line: This study aimed to assess the ability of polymerase chain reaction (PCR) to identify MCL and to compare these results with clinical research recently published by the authors.The primary reason for accuracy differences was sensitivity.The quality of the collected material and the optimisation of the amplification of genetic material should be prioritised.

View Article: PubMed Central - PubMed

Affiliation: Programa de Pós-Graduação em Clínica Médica.

ABSTRACT
The diagnosis of mucocutaneous leishmaniasis (MCL) is hampered by the absence of a gold standard. An accurate diagnosis is essential because of the high toxicity of the medications for the disease. This study aimed to assess the ability of polymerase chain reaction (PCR) to identify MCL and to compare these results with clinical research recently published by the authors. A systematic literature review based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses: the PRISMA Statement was performed using comprehensive search criteria and communication with the authors. A meta-analysis considering the estimates of the univariate and bivariate models was performed. Specificity near 100% was common among the papers. The primary reason for accuracy differences was sensitivity. The meta-analysis, which was only possible for PCR samples of lesion fragments, revealed a sensitivity of 71% [95% confidence interval (CI) = 0.59; 0.81] and a specificity of 93% (95% CI = 0.83; 0.98) in the bivariate model. The search for measures that could increase the sensitivity of PCR should be encouraged. The quality of the collected material and the optimisation of the amplification of genetic material should be prioritised.

Show MeSH
Related in: MedlinePlus