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Assessing the efficacy‐effectiveness gap for cancer therapies: A comparison of overall survival and toxicity between clinical trial and population‐based, real‐world data for contemporary parenteral cancer therapeutics
- Source :
- Cancer. 126:1717-1726
- Publication Year :
- 2020
- Publisher :
- Wiley, 2020.
-
Abstract
- Background Although increasing evidence has suggested that an efficacy-effectiveness gap exists between clinical trial (CT) and real-world evidence (RWE), to the authors' knowledge, the magnitude of this difference remains undercharacterized. The objective of the current study was to quantify the magnitude of survival and toxicity differences between CT and RWE for contemporary cancer systemic therapies. Methods Patients receiving cancer therapies funded under Cancer Care Ontario's New Drug Funding Program (NDFP) were identified. Landmark CTs with data regarding survival and adverse events (AEs) for each drug indication were identified. RWE for survival and hospitalization rates during treatment were ascertained through Canadian population-based databases. The efficacy-effectiveness gap for each drug indication was calculated as the difference between RWE and CT data for median overall survival (OS), 1-year OS, and generated hazard ratios (HRs) with 95% CIs from Kaplan-Meier OS curves. Toxicity differences were calculated as the difference between RWE of hospitalization rates and CT serious AE rates. Results Twenty-nine indications from 20 systemic therapies were included. Twenty-eight of 29 indications (97%) demonstrated worse survival in RWE, with a median OS difference of 5.2 months (interquartile range, 3.0-12.1 months). Lower effectiveness in RWE also was demonstrated through a meta-analysis of an OS hazard ratio of 1.58 (95% CI, 1.39-1.80). The median difference between RWE for hospitalization rates and CT serious AEs was 14% (95% CI, 9%-22%). Conclusions An efficacy-effectiveness gap exists for contemporary cancer systemic therapies, with a 5.2-month lower median OS observed in RWE compared with CT data. These data supports the use of RWE to better inform real-world decision making regarding the use of cancer systemic therapies.
- Subjects :
- Cancer Research
medicine.medical_specialty
Databases, Factual
Population
Antineoplastic Agents
Kaplan-Meier Estimate
03 medical and health sciences
0302 clinical medicine
Interquartile range
Neoplasms
Internal medicine
medicine
Overall survival
Humans
030212 general & internal medicine
Adverse effect
education
Proportional Hazards Models
Ontario
Clinical Trials as Topic
education.field_of_study
Evidence-Based Medicine
business.industry
Hazard ratio
Cancer
medicine.disease
Hospitalization
Clinical trial
Oncology
030220 oncology & carcinogenesis
Toxicity
business
Subjects
Details
- ISSN :
- 10970142 and 0008543X
- Volume :
- 126
- Database :
- OpenAIRE
- Journal :
- Cancer
- Accession number :
- edsair.doi.dedup.....fbb10ca61373290a10df286dfe0b1f5f
- Full Text :
- https://doi.org/10.1002/cncr.32697