Table 2. Demographic data from all two cohorts of respondents for medical and clinical oncologists.
Covariate | Clinical oncology cohort (n=48), n [%] | Medical oncology cohort (n=85), n [%] | P value |
---|---|---|---|
Based on your best estimate how many new patients with primary lung cancers do you see in a month? | 0.42 | ||
<5 cases | 18 [40] | 28 [35] | |
5–15 cases | 24 [53] | 41 [51] | |
>15 cases | 3 [7] | 12 [15] | |
Missing | 3 | 4 | |
Based on your best estimate what proportion of the lung cancer patients in your practice have drug targetable EGFR mutations? | 0.11 | ||
<10% | 10 [22] | 26 [32] | |
10–30% | 22 [49] | 44 [54] | |
>30% | 13 [29] | 11 [14] | |
Missing | 3 | 4 | |
Based on your best estimate what proportion of the lung cancer patients in your practice have drug targetable ALK mutations? | 0.5 | ||
<5% | 32 [71] | 65 [80] | |
5–10% | 11 [24] | 14 [17] | |
>10% | 2 [4] | 2 [2] | |
Missing | 3 | 4 | |
Based on your best estimate what proportion of the lung cancer patients in your practice have drug targetable BRAF MET RET or ROS1 mutations? | 0.45 | ||
<5% | 40 [91] | 77 [95] | |
5–10% | 4 [9] | 4 [5] | |
>10% | 0 [0] | 0 [0] | |
Missing | 4 | 4 | |
Access to tyrosine kinase inhibitors EGFR specific in your practice environment? | N/A | ||
Yes | 36 [100] | 28 [100] | |
Missing | 12 | 57 | |
Access to tyrosine kinase inhibitors ALK specific in your practice environment? | 0.0019* | ||
Yes | 21 [58] | 26 [93] | |
No | 15 [42] | 2 [7] | |
Missing | 12 | 57 |
*, P<0.05. Missing, data not available (i.e., no response in questionnaire); EGFR, epidermal growth factor receptor; ALK, anaplastic lymphoma kinase; N/A, P value not calculated.