Table 3.
Association between Surgical Treatment and Patient Variables for the model creating the Surgical Selection Score (SSS).
| Variable | Odds ratio (95% CI) | Sample patient SSS* | Variable | Odds ratio (95% CI) | Sample patient SSS* |
|---|---|---|---|---|---|
| Clinical T Status | Charlson Index | ||||
| 1 | 2.8 (2.6–3.0) | 0 | Reference | 0 | |
| 2 | 3.1 (3.0–3.3) | 1 | 1.3 (1.3–1.3) | ||
| 3 | 2.4 (2.3–2.6) | 2 | 1.0 (1.0–1.1) | ||
| 4 | Reference | 0 | Race | ||
| X | 1.2 (1.1–1.3) | White | 1.4 (1.3–1.5) | ||
| Tumor Size | Other | 1.4 (1.2–1.5) | |||
| T1a | 2.2 (2.1–2.3) | Black | Reference | 0 | |
| T1b | 1.7 (1.6–1.8) | Insurance Status | |||
| T2a | 1.2 (1.1–1.2) | Private | 2.0 (1.9–2.2) | ||
| T2b | 1.0 (1.0–1.1) | Medicare | 1.6 (1.4–1.7) | ||
| T3 | Reference | 0 | Medicaid | 1.2 (1.1–1.4) | |
| Clinical Nodal Status | Other Government | 1.2 (1.0–1.4) | |||
| 0 | 14.3 (13.2–15.5) | 266 | Not Insured | Reference | 0 |
| 1 | 11.4 (10.4–12.4) | Income | |||
| 2 | 4.7 (4.4–5.1) | High | 1.2 (1.1–1.2) | ||
| 3 | Reference | Middle | 1.0 (1.0–1.1) | ||
| X | 5.7 (5.2–6.4) | Low | Reference | 0 | |
| Clinical M Status | Facility Type | ||||
| 0 | 15.6 (14.3–17.1) | 275 | Academic/Research Program | 1.7 (1.6–1.8) | |
| 1 | 1.9 (1.7–2.1) | Compreh. Com. Cancer Program | 1.2 (1.2–1.3) | ||
| 1A | 2.1 (1.8–2.4) | Community Cancer Program | Reference | 0 | |
| 1B | Reference | ||||
| Histology | |||||
| Squamous Cell Carcinoma | 1.8 (1.7–1.9) | ||||
| Adenocarcinoma | 2.2 (2.1–2.3) | ||||
| NSCLC, NOS | Reference | 0 | |||
| Age group | |||||
| <52 | 6.1 (5.6–6.7) | 181 | |||
| 52–59 | 4.9 (4.5–5.4) | ||||
| 59–67 | 4.1 (3.8–4.5) | ||||
| 67–75 | 3.4 (3.1–3.7) | ||||
| 75–81 | 2.3 (2.1–2.5) | ||||
| >81 | Reference | ||||
| Surgical Selection Score | 722 |
The SSS was created by multiplying the logarithm of the odds ratios by 100 and adding the total. The sample SSS is provided for a 50 year old, black man with Stage IIIA (T4N0M0) NSCLC NOS, with Charlson Index =0 and belonging to the reference group for all remaining factors. His SSS is 722 and estimated probability of surgical treatment is 4.5%. (Sample SSS calculation for the patient described: ((ln 14.3 × 100) + (ln 15.6 × 100) + (ln 6.1 × 100)) = 722).