Dataset of treatments for EGFR positive NSCLC.

treatments

Format

A data.table object with one row for each available treatment and with columns:

tx_name

Name of treatment.

tx_abb

Abbreviation for the treatment.

route

Route of administration.

approval_yr

Year that treatment was approved in the US by the Federal Drug Administration (FDA)

yrs_since_approval

Years (from the last update of the model) since the treatment was approved.

Examples

print(treatments)
#> tx_name tx_abb route approval_yr #> 1: erlotinib erl oral 2004 #> 2: gefitinib gef oral 2003 #> 3: afatinib afa oral 2013 #> 4: dacomitinib dac oral 2018 #> 5: osimertinib osi oral 2015 #> 6: PBDC pbdc IV 2000 #> 7: bevacizumab bev IV 2004 #> 8: nivolumab niv IV 2015 #> 9: pembrolizumab pem IV 2014 #> 10: atezolizumab ate IV 2016 #> 11: PBDC + bevacizumab pbdc_bev IV 2004 #> 12: PBDC + nivolumab pbdc_niv IV 2015 #> 13: PBDC + pembrolizumab pbdc_pem IV 2014 #> 14: PBDC + atezolizumab pbdc_ate IV 2016 #> 15: PBDC + bevacizumab + nivolumab pbdc_bev_niv IV 2015 #> 16: PBDC + bevacizumab + pembrolizumab pbdc_bev_pem IV 2014 #> 17: PBDC + bevacizumab + atezolizumab pbdc_bev_ate IV 2016 #> yrs_since_approval #> 1: 15 #> 2: 16 #> 3: 6 #> 4: 1 #> 5: 4 #> 6: 19 #> 7: 15 #> 8: 4 #> 9: 5 #> 10: 3 #> 11: 15 #> 12: 4 #> 13: 5 #> 14: 3 #> 15: 4 #> 16: 5 #> 17: 3