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. Author manuscript; available in PMC: 2009 Feb 25.
Published in final edited form as: Mov Disord. 2009 Jan 15;24(1):51–56. doi: 10.1002/mds.22283

TABLE 3.

Predictive values, sensitivity, and specificity of various case ascertainment variables (individually or in combination) and algorithms in identifying a working diagnosis of PD. Final column indicates degree of agreement with the gold standard (true positives plus true negatives). Expert chart review used as gold standard for all comparisons

Sensitivity
(95% CI)
Specificity
(95% CI)
PPV
(95% CI)
NPV
(95% CI)
Agreed with
chart review N (%)
Baseline inclusion criterion:
 In any clinic: 332.0 assigned ≥1 100% 0.0% 75.6% Undefined 436 (75.6%)
Codes assigned in any clinic:
 332.0 assigned ≥ 2 89.2% (85.9–92.0) 28.4% (21.1–36.6) 79.4% (75.5–82.9) 46.0% (35.2–57.0) 429 (74.4%)
 332.0 assigned ≥ 5 67.0% (62.3–71.4) 58.2% (49.6–66.4) 83.2% (78.9–87.0) 36.3% (30.0–42.9) 374 (64.8%)
Codes assigned in any neurology clinic:
 332.0 assigned ≥ 1 68.8% (64.2–73.1) 43.3% (35.0–51.9) 78.9% (74.5–82.9) 31.0% (24.6–37.9) 361 (62.6%)
 332.0 assigned ≥ 2 56.9% (52.1–61.6) 71.6% (63.4–78.9) 86.1% (81.6–89.9) 34.9% (29.5–40.8) 349 (60.5%)
 332.0 assigned ≥ 3 50.0% (45.2–54.8) 78.0% (78.1–90.5) 87.6% (86.9–94.5) 33.5% (28.4–38.9) 328 (56.8%)
Codes assigned in movement disorders specialty clinic:
 332.0 assigned ≥ 1 33.0% (28.6–37.7) 85.1% (78.1–90.5) 87.3% (81.2–92.0) 29.1% (24.8–33.8) 264 (45.8%)
 332.0 assigned ≥ 2 28.4% (24.3–32.9) 91.5% (85.6–95.5) 91.2% (85.1–95.4) 29.3% (25.0–33.7) 253 (43.8%)
 332.0 assigned ≥ 3 25.5% (21.4–29.8) 94.3% (89.1–97.5) 93.3% (87.2–97.1) 29.0% (24.9–33.4) 244 (42.3%)
PD-related medicationa prescribed:
 Any of abovea 80.0% (76.0–83.7) 58.2% (49.6–66.4) 85.5% (81.8–88.8) 48.5% (40.8–56.3) 431 (74.7%)
Algorithms:
 Unanimity algorithm 78.0% (73.8–81.8) 33.3% (25.6–41.8) 78.3% (74.2–82.1) 32.9% (25.3–41.2) 387 (67.1%)
 Unanimity algorithm with
 medications
60.3% (55.6–64.9) 74.5% (66.4–81.4) 88.0% (83.7–91.4) 37.8% (32.1–43.8) 368 (63.8%)
 Tiered consensus algorithm 87.4% (83.9–90.4) 45.4% (37.0–54.0) 83.2% (79.4–86.5) 53.8% (44.4–63.0) 445 (77.1%)
 Tiered consensus algorithm
 with medications
77.1% (72.8–80.9) 68.1% (59.7–75.7) 88.2% (84.5–91.3) 49.0% (41.8–56.2) 432 (74.9%)
a

Levodopa (in any formulation), pramipexole, ropinirole, pergolide, entacapone, or selegiline.