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Products » Clinical Trial Outcome Database

"Clinical Trial Outcome databases capture summary level data for the clinical safety and efficacy outcomes from publicly available data sources. EXCELRA has collaborated with QS to market the existing QS core clinical trial outcome databases and to develop/market additional databases in selected disease areas. Quantitative Solutions Inc. (QS) founded by Jaap Mandema and Russ Wada, is a leading scientific consultancy service provider to the pharmaceutical and biotech industry. QS develops quantitative models of clinical PK, efficacy and safety data to enable better drug development decisions"

The databases are designed to assist companies conduct comparative efficacy and safety analysis, link/scale biomarkers to clinical outcomes, predict/ improve trial outcome and develop product differentiation strategies. They will be supported by customization and M&S consulting services provided by EXCELRA and QS, respectively, to ensure maximum flexibility and benefits to the clients.

Currently Available Databases:

  • Rheumatoid Arthritis
  • Osteoporosis
  • Neuropathic Pain
  • HCV
  • Schizophrenia
  • Alzheimer’s
  • Dyslipidemia
  • Diabetes
  • Glaucoma
  • H1 Launch
    • Multiple Sclerosis (Breast Cancer, Pancreatic Cancer, Colorectal Cancer, NSCLC)
    • Low Back Pain

Key Features

Includes information for marketed drugs as well as drugs in development; data sources include journal publications, conference posters, regulatory reviews, etc.

Ease of tracking
All clinical trial publications are listed in a separate database and linked to unique clinical trial names.

Design allows for quick updates and expansions to include additional indications / drugs / endpoints /trials.

Designed and reviewed by experi highest quality and usability for development strategies.

Can be augmented with clinical trial data proprietary to the client (this information goes into a separate proprietary database and will be owned by the client).

Why Use Our Databases?

  • Designed and managed by experienced modelers with strong expertise in meta-analysis
  • Supported by multiple clients and proven valuable in drug development decision making
  • Updated semi-annually to enable time and decisions
  • Backed by EXCELRA custom curation services and consulting services offered by QS
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