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Table 1 Demographic characteristics of eligible EMRPC individuals in the cohort used for algorithm development

From: Development of algorithms to identify individuals with Neurofibromatosis type 1 within administrative data and electronic medical records in Ontario, Canada

 

Definitive NF1

N = 71

Possible NF1

N = 37

Not NF1

N = 273,331

Age (mean ± SD)

39.3 ± 23.0

41.1 ± 24.8

43.9 ± 23.0

Sex (female)

36 (50.7%)

19 (51.4%)

152,514 (55.8%)

Follow up time, years (mean ± SD)

7.09 ± 3.2

8.97 ± 5.3

6.45 ± 3.5

Rural

10 (14.1%)

8 (21.6%)

49,464 (18.1%)

Urban

61 (85.9%)

29 (78.4%)

222,819 (81.5%)

Income quintile 1

14 (19.7%)

13 (35.1%)

44,464 (16.3%)

Income quintile 2–3

24 (33.8%)

10 (27.0%)

102,704 (37.6%)

Income quintile 4

14 (19.7%)

6 (16.2%)

50,024 (21.2%)

Income quintile 5

19 (26.8%)

8 (21.6%)

66,778 (24.4%)

  1. Income quintile using nearest census based neighbourhood
  2. EMRPC electronic medical record database