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Figure 1.

Scatter plot for 977 pairs of total lymphocyte count (TLC) and CD4 cell count.

The lower circle dots are for 725 pairs of TLC (median [interquartile], 1370 [1025–1760] cells/mm3) and CD4 cell count of less than 350 cells/mm3. The middle diamond dots are for 124 pairs of TLC (median [interquartile], 1885 [1500–2355] cells/mm3) and CD4 cell count of between 350 cells/mm3 and 500 cells/mm3. The upper triangle dots are for 128 pairs of TLC (median [interquartile], 2222 [1840–2698] cells/mm3) and CD4 cell count of greater than 500 cells/mm3.

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Figure 1 Expand

Table 1.

Characteristics of the 977 HIV-infected patients included in the study.

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Table 1 Expand

Figure 2.

Receiver operating characteristic (ROC) curves for TLC thresholds predicting a CD4 cell count <350 cells/mm3 and a CD4 cell count <500 cells/mm3.

Areas under ROC curves (AUCs) were 0.80 and 0.82, respectively.D.

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Figure 2 Expand

Table 2.

Data from articles included in the literature review.

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Table 2 Expand

Figure 3.

Forest plots of eight studies on a TLC threshold of 1500 cells/mm3 for predicting a CD4 cell count <350 cells/mm3.

95% confidence intervals (CIs) of sensitivity and specificity are in parentheses. The figure shows the estimated sensitivity and specificity of the study (square) with its 95% confidence interval (horizontal line). The pooled sensitivity and specificity were 0.68 (95 CI%, 0.56–0.78) and 0.81(95% CI, 0.67–0.90), respectively.

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Figure 3 Expand

Figure 4.

Summary receiver operating characteristic (SROC) plot of eight studies on a TLC threshold of 1500 cells/mm3 for predicting a CD4 cell count <350 cells/mm3.

The area under the SROC curve (the solid line) is 0.80; the larger dot is the pooled value for sensitivity and specificity (0.68 and 0.81, respectively); the ellipse around the larger dot represents the 95% confidence interval around the summary estimates.

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Figure 4 Expand

Table 3.

Pooled effects for predicting a CD4 cell count <350 cells/mm3 by using different TLC thresholds.

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Table 3 Expand