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Table 6 Summary findings of models in gingival bleeding and calculus

From: Gingival bleeding and calculus among 12-year-old Chinese adolescents: a multilevel analysis

Performance Measures

Predictive model with total samples (%)

Predictive model with training data (%)

Predictive model with validation data (%)

Gingival bleeding

 Sensitivity

69.05 (67.08, 71.02)

68.77 (66.48, 71.07)

69.85 (66.00, 73.71)

 Specificity

66.75 (64.87, 68.63)

66.19 (64.02, 68.36)

68.48 (64.73, 72.24)

 PPVa

64.4 7 (62.50, 66.44)

63.54 (61.25, 65.83)

67.26 (63.39, 71.13)

 NPVb

71.17 (69.30, 73.04)

71.22 (69.07, 73.37)

71.02 (67.29, 74.76)

 Accuracy

67.82 (66.46, 69.18)

67.38 (65.81, 68.96)

69.14 (66.45, 71.83)

 AUCc

73.81 (72.38,75.25)

73.29 (71.63,74.96)

75.34 (72.53, 78.15)

Predicted prevalence

49.94 (48.49, 51.40)

53.86 (52.18, 55.34)

49.96 (47.04, 52.87)

 Youden index

35.93 (33.20, 38.65)

34.97 (31.81, 38.12)

38.34 (32.95, 43.72)

Dental calculus

 Sensitivity

67.12 (996, 68.79)

67.83 (65.91, 69.78)

65.02 (61.65, 68.39)

 Specificity

59.43 (56.94, 61.91)

59.96 (57.11, 62.82)

57.73 (52.65, 62.82)

 PPVa

77.01 (75.40, 78.61)

77.15 (75.31, 79.00)

76.57 (73.32, 79.82)

 NPVb

47.16 (44.91,49.42)

48.3 3 (45.76, 50.90)

43.72 (39.28, 48.17)

 Accuracy

64.57 (63.18, 65.97)

65.20 (63.60, 66.81)

62.69 (59.87, 65.51)

 AUCc

67.83 (66.19, 69.46)

68.27 (66.39, 70.16)

66.55 (63.29, 69.28)

Predicted prevalence

58.34 (56.91 59.78)

58.54 (56.89, 60.20)

57.73 (54.86, 60.62)

 Youden index

26.54 (23.54, 29.54)

27.80 (24.36, 31.24)

22.75 (16.65, 28.86)

  1. Abbreviations: aPPV positive predictive value, bNPV negative predictive value, cAUC area under the receiver operating characteristic (ROC) curve