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The use of single armed observational data to closing the gap in otherwise disconnected evidence networks: a network meta-analysis in multiple myeloma.

Susanne SchmitzÁine MaguireJames MorrisKai RuggeriElisa HallerIsla KuhnJoy LeahyNatalia HomerAyesha KhanJack BowdenVanessa BuchananMichael O'DwyerGordon CookCathal Walsh
Published in: BMC medical research methodology (2018)
The analysis shows how observational data can be used to fill gaps in the existing networks of RCT evidence; allowing for the indirect comparison of a large number of treatments, which could not be compared otherwise. Additional uncertainty is accounted for by scenario analyses reducing the risk of over confidence in interpretation of results.
Keyphrases
  • multiple myeloma
  • electronic health record
  • big data
  • cross sectional
  • machine learning