| Literature DB >> 29456865 |
Hansoo Kim1, Samantha Comey1, Karl Hausler1, Greg Cook1.
Abstract
BACKGROUND: Australian Government subsidisation of ipilimumab for the treatment of patients with metastatic melanoma was conditional on the sponsor entering a 'managed entry scheme' to assess the 2-year overall survival rate in metastatic melanoma patients who received ipilimumab in the first year of Pharmaceutical Benefits Scheme listing.Entities:
Year: 2018 PMID: 29456865 PMCID: PMC5810048 DOI: 10.1186/s40545-018-0131-4
Source DB: PubMed Journal: J Pharm Policy Pract ISSN: 2052-3211
Medicines identified as potential MES candidates since introduction of formal MES policy in January-2011 [35]
| Medicinea | MES |
|---|---|
| Ipilimumab for metastatic melanoma (2012) | • Pay for performance with rebates payable should 2 year overall survival rates in real world clinical practice in Australia not align with clinical trial data |
| Ivacaftor for cystic fibrosis (2014) | • Pay for performance with rebates applicable for patients subsequently assessed as non-responders |
| Eculizumab for atypical haemolytic uraemic syndrome (2014) | • Pay for performance with rebates applicable for patients who do not achieve an agreed clinical outcome over an agreed time periods |
| Trametinib for metastatic melanoma (2014) | • Pay for performance with rebates applicable should trametinib fail to deliver claimed benefits |
| Crizotinib for non-small cell lung cancer (2014) | • Pay for performance with rebates applicable should crizotinib fail to deliver claimed benefits |
| Pembrolizumab for metastatic melanoma (2015) | • PBS list with provision for future clinical trial evidence to support a potential price increase |
| Nivolumab for non-small cell lung cancer (2016) | • PBS list with provision of future evidence to confirm effectiveness of nivolumab in NSCLC patients ≥75 years of age |
aMedicines considered by the PBAC between January 2011 and November 2016
Fig. 1Patient disposition
Baseline characteristics and demographics
| Summary statistic | Retrieval of 2 Year OS data | |
|---|---|---|
| Age (years) | ||
| Mean (sd) | 63.3 (13.0) | |
| < 40 years | 53 (5.8%) | 41 (77.4%) |
| 40–60 years | 256 (28.1%) | 211 (82.4%) |
| > 60 years | 601 (66.0%) | 499 (83.0%) |
| Body weight (kg) | ||
| Mean (sd) | 80.9 (17.8) | |
| < 70 kg | 246 (27.0%) | 199 (80.9%) |
| 70–90 kg | 412 (45.3%) | 349 (84.7%) |
| > 90 kg | 252 (27.7%) | 203 (80.6%) |
| Gender | ||
| Female | 271 (29.9%) | 221 (81.6%) |
| Male | 635 (70.1%) | 528 (83.3%) |
| ECOG performance status | ||
| Active | 351 (38.7%) | 293 (83.5%) |
| Restricted | 468 (51.7%) | 65 (90.3%) |
| Self-care capable | 73 (8.1%) | 379 (81.0%) |
| Limited self-care capable | 13 (1.4%) | 11 (84.6%) |
| Disabled | 1 (0.1%) | 1 (100%) |
| M Status | ||
| M1a (distant skin, subcutaneous or nodal metastases) | 74 (8.2%) | 63 (85.2%) |
| M1b (lung metastases) | 156 (17.2%) | 124 (79.5%) |
| M1c (All other visceral metastases or any distant metastases with elevated serum LDH) | 676 (74.6%) | 562 (83.3%) |
| Previous brain metastases | ||
| No | 644 (71.1%) | 517 (80.3%) |
| Yes | 262 (28.9%) | 232 (88.9%) |
| Treatment naïve | ||
| No | 333 (36.7%) | 278 (83.7%) |
| Yes | 573 (63.3%) | 471 (82.2%) |
| Hospital | ||
| Private | 301 (35.6%) | 242 (80.1%) |
| Public | 544 (64.4%) | 456 (84.0%) |
| Community | ||
| Rural | 199 (23.5%) | 169 (84.9%) |
| Urban | 647 (76.5%) | 529 (81.9%) |
Fig. 2Kaplan-Meier survival estimate*
Cox regression analysis
| Parameter tested | |
|---|---|
| Age | |
| Body weight | |
| Gender | |
| Female vs Male | 1.163 [0.94; 1.45] |
| ECOG performance status | |
| 1: Restricted vs 0: Active | 1.76 [1.42; 2.18] |
| 2: Self-care capable vs 0: Active | 3.00 [2.13; 4.22] |
| 3: Limited self-care capable vs 0: Active | 6.91 [3.64; 13.11] |
| 4: Disabled vs 0: Active | 629.65 [56.44; 7024.33] |
| M Status | |
| M1a vs M1c | 0.54 [0.43; 0.81] |
| M1b vs M1c | 0.66 [0.36; 0.82] |
| Previous brain metastases | |
| No vs Yes | 0.88 [0.71; 1.10] |
| Treatment naive | |
| No vs Yes | 1.29 [1.06; 1.57] |
| Hospital | |
| Private vs Public | 0.965 [0.77; 1.21] |
| Community | |
| Urban vs Rural | 1.07 [0.88; 1.31] |
Fig. 3Survival by demographic variables. a Survival by ECOG performance status, b Survival by metastatic status, c Survival by brain metastases and d Survival by treatment naïve/experienced