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Table 2 Measures of agreement between selected OCR-based and POGONIS-based diagnostic subgroups

From: The validity of pediatric cancer diagnoses in a population-based general cancer registry in Ontario, Canada

Malignancy type

N, POGONIS

N, OCR

Kappa (95 % CI)

Sensitivity

Specificity

PPV

NPV

Ia.1. Precursor cell leukemias (acute lymphoblastic leukemia)

1070

775

0.77 (0.75–0.80)

0.71

0.99

0.98

0.91

Ib. Acute myeloid leukemias

187

164

0.84 (0.81–0.89)

0.80

1.00

0.91

0.99

IIa. Hodgkin lymphomas

312

310

0.99 (0.98–1.00)

0.98

1.00

0.99

1.00

IIb-IId, IIe. Non Hodgkin lymphomas

271

244

0.78 (0.74–0.82)

0.76

0.99

0.84

0.98

IIb.1 Precursor cell lymphomas (lymphoblastic lymphomas)

67

22

0.24 (0.12–0.36)

0.16

1.00

0.50

0.99

IIc. Burkitt lymphomas

78

1

0.02 (0.02–0.07)

0.01

1.00

1.00

0.98

IIIb. Astrocytomas

446

343

0.82 (0.79–0.85)

0.74

1.00

0.96

0.97

IIIa1. Ependymomas

72

69

0.95 (0.91–0.99)

0.93

1.00

0.97

1.00

IIIc. Intracranial and intraspinal embryonal tumors

199

201

0.91 (0.87–0.94)

0.91

1.00

0.91

1.00

IIIc.1 Medulloblastomas

152

134

0.91 (0.88–0.95)

0.86

1.00

0.98

1.00

IIIx. All other CNS tumors

73

144

0.34 (0.26–0.43)

0.53

0.97

0.27

0.99

IVa. Neuroblastoma and ganglioneurblastoma

259

254

0.97 (0.96–0.99)

0.97

1.00

0.98

1.00

VIa.1 Nephroblastoma

141

140

0.98 (0.97–1.00)

0.98

1.00

0.99

1.00

VIIa. Hepatoblastoma

58

56

0.96 (0.93–1.00)

0.95

1.00

0.98

1.00

VIIIa. Osteosarcoma

88

87

0.96 (0.93–0.99)

0.95

1.00

0.97

1.00

VIIIc. Ewing tumor and related sarcomas of bone

82

93

0.81 (0.74–0.87)

0.87

0.99

0.76

1.00

IXa. Rhabdomyosarcomas

116

128

0.92 (0.89–0.96)

0.97

1.00

0.88

1.00

IXb-IXe. Non-rhabdomyosarcoma soft tissue sarcomas

153

132

0.71 (0.65–0.77)

0.67

0.99

0.78

0.99

  1. CI confidence interval, CNS central nervous system, N number, NPV negative predictive value, OCR Ontario Cancer Registry, POGONIS Pediatric Oncology Group of Ontario Networked Information System, PPV positive predictive value