Table 1.
Summary of the included studies.
Table 2.
Index test (NAAT) characteristics of included studies.
Table 3.
Summary of diagnostic test accuracy of NAATs, KK and BT for detecting HINIs.
Fig 1.
Forest plots and summary receiver operating curves for the diagnostic accuracy meta-analysis for Ascaris lumbricoides.
(A) Forest plot of the sensitivity of nucleic acid amplification tests (NAATs) compared to Kato-Katz (KK). (B) Forest plot of the specificity of NAATs compared to KK. (C) sROC of NAATs and KK. (D) NAATs and composite reference standard (CRS) and KK and CRS. CRS comprises NAAT and KK results. The plots are generated using the Reitsma bivariate model in the mada package in R. Each study’s point estimate and 95% confidence interval are represented by squares and horizontal lines, respectively. The curves are generated using the Review Manager RevMan 5.4.1. The x-axis represents Specificity (False positive rate), and the y-axis represents Sensitivity (True positive rate).
Fig 2.
Forest plots and summary receiver operating curves for the diagnostic accuracy meta-analysis for Trichuris trichiura.
(A) Forest plot of the sensitivity of nucleic acid amplification tests (NAATs) compared to Kato-Katz (KK). (B) Forest plot of the specificity of NAATs compared to KK. (C) sROC of NAATs and KK. (D) NAATs and composite reference standard (CRS) and KK and CRS. CRS comprises NAAT and KK results. The plots are generated using the Reitsma bivariate model in the mada package in R. Each study’s point estimate and 95% confidence interval are represented by squares and horizontal lines, respectively. The curves are generated using the Review Manager RevMan 5.4.1. The x-axis represents Specificity (False positive rate), and the y-axis represents Sensitivity (True positive rate).
Fig 3.
Forest plots and summary receiver operating curves for the diagnostic accuracy meta-analysis for hookworms.
(A) Forest plot of the sensitivity of nucleic acid amplification tests (NAATs) compared to Kato-Katz (KK). (B) Forest plot of the specificity of NAATs compared to KK. (C) sROC of NAATs and KK. (D) NAATs and composite reference standard (CRS) and KK and CRS. CRS comprises NAAT and KK results. The plots are generated using the Reitsma bivariate model in the mada package in R. Each study’s point estimate and 95% confidence interval are represented by squares and horizontal lines, respectively. The curves are generated using the Review Manager RevMan 5.4.1. The x-axis represents Specificity (False positive rate), and the y-axis represents Sensitivity (True positive rate).
Fig 4.
Forest plots and summary receiver operating curves for the diagnostic accuracy meta-analysis for Strongyloides stercoralis.
(A) Forest plot of the sensitivity of nucleic acid amplification tests (NAATs) compared to the Baermann Test (BT). (B) Forest plot of the specificity of NAATs compared to the BT. (C) sROCs of NAATs and the BT. (D) NAATs and Composite and BT and Composite. Composite comprises the NAAT and BT results. The plots are generated using the Reitsma bivariate model in the mada package in R. Each study’s point estimate and 95% confidence interval are represented by squares and horizontal lines, respectively. The curves are generated using the Review Manager RevMan 5.4.1. The x-axis represents Specificity (False positive rate), and the y-axis represents Sensitivity (True positive rate).
Fig 5.
Forest plots for the diagnostic accuracy meta-analysis for Ascaris, Trichuris and hookworms.
(A) Forest plot of the sensitivity of nucleic acid amplification tests (NAATs) compared to flotation methods for Ascaris. (B) Forest plot of the specificity of NAATs compared to flotation methods for Trichuris. (C) Forest plot of the sensitivity of NAATs compared to flotation methods for hookworms. (D) Forest plot of the specificity of NAATs compared to flotation methods for Ascaris. (E) Forest plot of the sensitivity of NAATs compared to flotation methods for Trichuris. (F) Forest plot of the specificity of NAATs compared to flotation methods for hookworms. The plots are generated using the Reitsma bivariate model in the mada package in R. Each study’s point estimate and 95% confidence interval are represented by squares and horizontal lines, respectively.