Table 2 Algorithm characteristics for the identification of thyroid cancer. Optum Research Database, February 1, 2010 - December 31, 2012
Adjudicated Status | |||||||||
|---|---|---|---|---|---|---|---|---|---|
Algorithm components identified from claims | Total | Cases | Non-Cases | Positive Predictive Value (PPV) | 95% CI | Sensitivitya | 95% CI | Specificityb | 95% CI |
a) ≥ 1 claim with ICD-9 193 | 141 | 72 | 69 | 51% | 43-60 | 100% | 94-100 | 0% | 0-7 |
b) Any inpatient or outpatient claim with ICD-9 193 | 119 | 68 | 51 | 57% | 48-66 | 94% | 86-98 | 26% | 17-38 |
c) Primary inpatient claim with ICD-9 193 | 21 | 12 | 9 | 57% | 34-77 | 17% | 09-28 | 87% | 76-93 |
d) Claim for goiter in baseline | 49 | 30 | 19 | 61% | 46-74 | 42% | 30-54 | 72% | 60-82 |
e) No dispensings for levothyroxine in baseline | 104 | 62 | 42 | 60% | 50-69 | 86% | 75-93 | 39% | 28-52 |
f) No claims with diagnosis of benign thyroid nodule ≤ 60 days after ICD-9 193 | 123 | 69 | 54 | 56% | 47-65 | 96% | 87-99 | 22% | 13-34 |
g) Claims for thyroid surgery in follow-up | 103 | 70 | 33 | 68% | 58-77 | 97% | 89-100 | 52% | 40-64 |
h) Claims for any non-surgical treatment (chemo, radio-iodine, radiation) | 40 | 38 | 2 | 95% | 82-99 | 53% | 41-65 | 97% | 89-99 |
i) Any treatment (non-surgical or thyroid surgery) | 104 | 71 | 33 | 68% | 58-77 | 99% | 91-100 | 52% | 40-64 |
Algorithms | |||||||||
1) Thyroid surgery and no baseline levothyroxine | 90 | 60 | 30 | 67% | 56-72 | 83% | 72-93 | 57% | 44-68 |
2) Thyroid surgery and ≥2 ICD-9 193 codes ≤ 90 days after surgery | 68 | 62 | 6 | 91% | 81-96 | 86% | 75-93 | 91% | 81-96 |