posted on 2018-05-24, 08:44authored byD. A. Jenkins, R. Martina, P. Dequen, S. Bujkiewicz, K. Abrams
Background: There are many circumstances under which networks of evidence may be ‘disconnected’
and network meta-analysis (NMA) cannot be conducted, unless additional assumptions are made.
However, real-world evidence (RWE) which is becoming a more widely used source of clinical data to
complement randomised evidence for relative effectiveness assessment, could help inform missing
‘connections’ within a network. We consider the impact of RWE on NMA to compare existing biologic
DMARDS in rheumatoid arthritis (RA) for second-line therapy in a disconnected network.
Methods: A literature search was undertaken to identify RCTs evaluating second-line biological
therapies in RA. Patient data from two European registries were also accessed. Standard Bayesian
NMA and naïve pooling of standard of care were applied and evaluated. Alternatively, RWE and RCT
data were combined in an NMA to connect the RA network of studies.
Results: Only 4 RCTs were identified for second-line biologics with one treatment (Golimumab)
disconnected from the network. All methods applied were effective in allowing for the comparison of
Golimumab against all other treatments. For example, Golimumab had increased probability of
achieving remission by 7.6% (CI: 2.3% to 13.6%) compared to standard of care, an estimate that would
not have been possible to obtain if using RCT data alone. The addition of RWE to the RCT data led to
a decrease in the level of uncertainty of the probability of remission in Rituximab compared to
standard of care from 8.3% (CI: 4.9% to 12%) to 7.2% (CI: 4.1% to 10.7%).
Conclusion: The use of RWE was a useful approach here. By bridging disconnected networks of RCT
evidence, RWE allowed evaluation of treatment options otherwise not comparable via a standard
NMA of RCTs alone. In addition, estimates of effect of treatments already included in the RCT network
were obtained with higher precision when including the RWE.
History
Citation
Value in Health, 2016, 19 (7), pp. A393-A393 (1)
Author affiliation
/Organisation/COLLEGE OF LIFE SCIENCES/School of Medicine/Department of Health Sciences
Version
AM (Accepted Manuscript)
Published in
Value in Health
Publisher
Elsevier for International Society for Pharmacoeconomics and Outcomes Research