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. 2018 Apr 11;5(4):180257. doi: 10.1098/rsos.180257

Table 4.

Pooled mean estimates for hepatitis C virus (HCV) prevalence for each of the six risk population categories in Pakistan.

studies samples HCV prevalence
pooled HCV prevalence
heterogeneity measures
risk population total n total N range (%) median (%) mean (%) 95% CI Q (p-value)a I2 (confidence limits)b prediction interval (%)c
general population (populations at low risk) 148 1 352 080 0.4–50.6 5.3 6.2 5.7–6.7 17 552.0 (<0.0001) 99.2% (99.1–99.2%) 1.7–13.0
high-risk clinical populations 21 2377 7.8–68.0 33.3 34.5 27.0–42.3 294.3 (<0.0001) 93.2% (90.9–94.9%) 5.5–72.0
populations at intermediate risk 64 156 623 0.0–70.9 12.9 12.8 10.8–15.1 8680.5 (<0.0001) 99.3% (99.2–99.3%) 1.2–33.7
special clinical populations 20 11 940 1.1–80.8 15.5 16.9 6.2–31.3 5666.9 (<0.0001) 99.7% (99.6–99.7%) 0.0–90.2
populations with liver-related conditions 73 23 132 3.1–100.0 63.5 55.9 49.2–62.5 7028.9 (<0.0001) 99.0% (98.9–99.1%) 6.7–98.2
PWID 15 2815 7.8–93.8 44.7 53. 6 36.2–70.6 1181.9 (<0.0001) 98.8% (98.6–99.0%) 0.0–100

aQ: the Cochran's Q-statistic, a measure assessing the existence of heterogeneity in effect size.

bI²: a measure assessing the magnitude of between-study variation that is due to differences in effect size across studies rather than chance.

cPrediction interval: estimates the 95% interval in which the true effect size in a new HCV study will lie.