STA-363 is under clinical development by Stayble Therapeutics and currently in Phase II for Chronic Low Back Pain (CLBP). According to GlobalData, Phase II drugs for Chronic Low Back Pain (CLBP) does not have sufficient historical data to build an indication benchmark PTSR for Phase II. GlobalData uses proprietary data and analytics to create drugs-specific PTSR and LoA in the STA-363 LoA Report. Buy the report here.

GlobalData tracks drug-specific phase transition and likelihood of approval scores, in addition to indication benchmarks based off 18 years of historical drug development data. Attributes of the drug, company and its clinical trials play a fundamental role in drug-specific PTSR and likelihood of approval.

STA-363 overview

STA-363 is under development for the treatment of discoid chronic low back pain and chronic disc herniation (LDH). It is administered as intradiscal injection. Drug candidate comprises of small molecule together with a contrast agent to guide the correct placement of the injection into the centre of the intervertebral disc space. 

It was also under development for the treatment of degenerative disc disease (DDD).

Stayble Therapeutics overview

Stayble Therapeutics (Stayble) is a pharmaceutical company. It develops injection-based treatment against chronic low back pain (cLBP) triggered by damage in the disc. The company offers products that includes invasive injection based treatment for the removal of pain and the need of spinal fusion in patients suffering from cLBP. Stayble offers injection treatment for transforming the disc centre from being a liquid into solid state. It caters to surgeons, hospitals and patients. Stayble is headquartered in Gothenburg, Sweden.

For a complete picture of STA-363’s drug-specific PTSR and LoA scores, buy the report here.

This content was updated on 7 February 2024

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GlobalData’s Likelihood of Approval analytics tool dynamically assesses and predicts how likely a drug will move to the next stage in clinical development (PTSR), as well as how likely the drug will be approved (LoA). This is based on a combination of machine learning and a proprietary algorithm to process data points from various databases found on GlobalData’s Pharmaceutical Intelligence Center.