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I-O Optimise: a novel multinational real-world research platform in thoracic malignancies

Ekman, S (author)
Karolinska Institutet
Griesinger, F (author)
Baas, P (author)
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Chao, D (author)
Chouaid, C (author)
O'Donnell, JC (author)
Penrod, JR (author)
Daumont, M (author)
Lacoin, L (author)
McKenney, A (author)
Khovratovich, M (author)
Munro, REJ (author)
Durand-Zaleski, I (author)
Johnsen, SP (author)
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 (creator_code:org_t)
Future Medicine Ltd, 2019
2019
English.
In: Future oncology (London, England). - : Future Medicine Ltd. - 1744-8301 .- 1479-6694. ; 15:14, s. 1551-1563
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • Aim: To describe I-O Optimise, a multinational program providing real-world insights into lung cancer management. Materials & methods: Real-world data source selection for I-O Optimise followed a structured approach focused on population coverage, key variable capture, continuous/consistent data availability, record duration and data latency, and database expertise. Results: As of 31 October 2018, seven real-world data sources were included in I-O Optimise, providing data on characteristics, treatment patterns and clinical outcomes from more than 45,000 patients/year with non-small-cell lung cancer, small-cell lung cancer and mesothelioma across Denmark, Norway, Portugal, Spain, Sweden and the UK. Conclusion: The ongoing I-O Optimise initiative has the potential to provide a broad, robust and dynamic research platform to continually address numerous research objectives in the lung cancer arena.

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