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. 2022 Feb 11;19(2):154–165. doi: 10.1007/s11904-022-00601-5

Table 3.

Risk-based screening tools for paediatric population ordered by the area under receiver operating characteristic curve (AUC)

Lead Author (year of publication) Year of data Sample size Country Setting External validation? AUC Sensitivity Specificity
Bandason (2016) [36]* 2013-14 9568 Zimbabwe Primary care Yes 0.73 (0.72-0.75) 80.4% (76.5-84.0) 66.3% (65.3-67.2)
Bandason (2018) [6••]* 2015 5384 Zimbabwe Community Unclear 0.65 (0.60-0.72) 56.3% (44-68.1) 75.1% (73.9-76.3)
Ibrahim (2018) [37]* 2015-16 2303 Botswana Hospital maternity wards No Not reported 100% Not reported
Allison (2011) [38] 2007-08 487 PNG Hospital Yes Not reported 96.3% 25%
Moucheraud (2018) [39] 2016-17 8602 Malawi Inpatient paediatric ward Yes Not reported 84.4% 39.6%
Bandason (2015) [42]* 2015 6102 Zimbabwe Primary health centre Yes Not reported 80% (75-85) 66% (95% CI 64-67)
Du Plessis (2019) [43]* 2014-16 1759 South Africa Hospital maternity wards No Not reported 80% 64%
Ferrand (2011) [44]* 2011 506 Zimbabwe Primary care Yes Not reported 74% (64-82) 80% (71-87)
Mafaune (2020) [45]* 2018-19 1970 Zimbabwe Health facility (Antenatal) No Not reported 62.1% 87.2%
Bandason (2018) [6••]* 2015 5384 Zimbabwe Unclear Unclear Not reported 56.3% (44-68.1) 75.1% (73.9-76.3)
Nathoo (2012) [41] 2012 355 Zimbabwe Medical paediatric wards No Not reported 43% 88%
Abbas (2010) [40] 2007-08 127 Central Sudan Hospital Unclear Not reported

WHO-CCD 16.7% (0.4-64.1),

B-CCD 33.3% (4.3-77.7),

MB-CCD 66.7% (22.3-95.7)

96% (90.1-98.9),

88% (80-93.6)

74% (64.3-82.3)

*Screening out tools