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Table 2 Screening accuracy of the 5–2-1 screening criteria in identifying patients with advanced Parkinson’s disease

From: Does the 5–2-1 criteria identify patients with advanced Parkinson's disease? Real-world screening accuracy and burden of 5–2-1-positive patients in 7 countries

  Advanced PD Adjusted Model a
Indicator No Yes OR (95% CI) Correct Classification (%) b AUC c
5–2-1 screening criteria
 Negative 3018 150 1
 Positive 994 552 6.84 (5.50, 8.51) 88.1 0.89
Individual clinical indicators
 ≥2 h off-time/day
  Negative 3299 208 1
  Positive 713 494 7.07 (5.76, 8.68) 88.4 0.89
 ≥1 h troublesome dyskinesia/day
  Negative 3944 591 1
  Positive 68 111 5.56 (3.85, 8.02) 87.1 0.85
 ≥5 doses of oral levodopa/day
  Negative 3501 413 1
  Positive 511 289 3.03 (2.45, 3.73) 87.1 0.86
  1. aRegressions adjusted for age, sex, time since diagnosis, Charlson Comorbidity Index, and country. bCorrect classification is the percentage of patients correctly classified per 5–2-1 criteria (sum of true positive and true negatives divided by total number of patients). C AUC is a screening accuracy measure that balances sensitivity and specificity. AUC is interpreted as follows: AUC = 0.5, non-informative; AUC = 0.5 to ≤0.7, less accurate; AUC = 0.7 to ≤0.9, moderately accurate, AUC 0.9 to < 1, highly accurate; AUC = 1, perfect test [27,28,29]
  2. AUC Area under the curve, CI Confidence interval, OR Odds ratio