Likelihood of Approval Analysis for Secondary Progressive Multiple Sclerosis (SPMS)

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lgp loa report cover Likelihood of Approval Analysis for Secondary Progressive Multiple Sclerosis (SPMS)

Published: March 18, 2024 Report Code: GDHCDR24096LOAI-L5

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Overview

How likely is it that the drugs in Secondary Progressive Multiple Sclerosis (SPMS) will get approved? Will the drugs transition to the next phase of its clinical pathway? This report provides you with the data that allows you to track and predict the specific likelihood of approval (LoA) and phase transition success rate (PTSR) of drugs using GlobalData’s proprietary machine learning algorithms developed using over 10 years of historical data.

Secondary Progressive Multiple Sclerosis (SPMS) Overview

Secondary progressive multiple sclerosis (SPMS) is a form of MS that follows relapsing-remitting MS (RRMS). In RRMS, people experience periods of relapses, when symptoms get worse, and remissions, when symptoms get better. In SPMS, symptoms gradually worsen over time without any clear relapses or remissions. SPMS usually occurs 10 to 15 years after the first MS symptoms, but it can be delayed or prevented by effective disease-modifying therapies (DMTs). SPMS can be active or not active, and with progression or without progression, depending on the presence of relapses, new MRI activity, or increased disability.
SPMS is diagnosed by a neurologist based on the clinical history, neurological exam, and MRI scans. MRI scans can show the level of cell death and brain atrophy in MS. Treatment for SPMS may include DMTs to reduce the risk of relapses and slow down the progression of disability, as well as symptom management and rehabilitation strategies to improve quality of life.

Report Coverage

The data is segmented by drug name per indication and shows the current likelihood of approval for industry benchmarks and drug comparisons.
The Likelihood of Approval data is updated regularly based on events that take place which impact the clinical development process and regulatory considerations. GlobalData’s proprietary machine learning models consider these events in real time, to produce quantitative changes to the LOA and PTSR along with qualitative reasoning why the likelihood of approval has changed.

Quick View – Secondary Progressive Multiple Sclerosis (SPMS) LOA Data
Report Segments
· Drug type

· Intervention type
Drug Name
· CNMAU-8; dapirolizumab pegol; debamestrocel; DNL-788; foralumab; frexalimab; IB-MS; ibudilast; IMS-001; IR-902; ixazomib citrate; masitinib; MP-101; NG-1; OCHNCNP-1; ofatumumab; PIPE-791; remibrutinib; temelimab; UMSC-01; vidofludimus calcium
Administration Pathway
· Oral; Intravenous; Intrathecal; Subcutaneous; Intramuscular; Intracoronary; Parenteral; Nasal
Therapeutic Areas
· Central Nervous System

Reasons to Buy

  • Predict the specific likelihood of approval and phase transition success rates of a drug using a combination of machine learning and proprietary models

  • Get information on LOA and PTSR for competitors’ drugs to plan your clinical development, commercialization and marketing strategies

  • Track event-driven changes in LOA and PTSR benchmarked against indication LOA/PTSR

  • Use PTSR and LOA information and event-driven changes for your investment decisions.

This is an on-demand report that will be delivered upon request. The report will be delivered within 2 business days of the purchase, excluding weekends and holidays. Certain sections of the report may be removed or altered based on data availability and relevance.

Frequently asked questions

    The probability of a drug ultimately receiving market authorization

    The probability of a drug’s advancement to the next stage of clinical development

    GlobalData’s  Drug-Specific Likelihood of Approval (LoA) calculates the  Phase Transition Success Rate (PTSR) and  Likelihood of Approval (LoA) customized to individual drug. The model uses a combination of  Machine Learning (ML) and a  GlobalData proprietary algorithm to process data points from the  Drugs, Clinical Trials, Regulatory Milestones, Company, and  Financial databases.

     

    Inclusion

    Data Scope:

    • Drugs which have been approved in the past 10 years
    • Drugs which have failed during clinical development in the past 18 years
    • Drugs which are currently in development

    Drug Phase Scope:

    • Phase I, Phase II, Phase III, and Pre-Registration development stage

    Drug Geography Scope:

    • Drugs must meet one of the following criteria to be included in the model:
    • The developer has specified the US as an intended market for approval.
    • The developer has not specified any country as an intended market for approval, i.e. the “Drug Geography” is listed as “Global”

    Drug Type Scope:

    • Innovator drugs and biosimilars

    Entity Type Scope:

    Only drugs in development by companies are included in the model.

    Exclusion

    • Diagnostics, Imaging Agents, Biomarkers, stents and other drug delivery devices (covered in GlobalData’s Medical Intelligence Center).
    • Nutraceuticals, dietary supplements, alternative medicines, imaging agents, radio emitter, transplants, transfusions, fillers, cosmetics, probiotics, antiseptics, antacids, mobilizing agents, veterinary drugs and drugs not seeking approval.
    • Generic drugs
    • Innovative drugs in Preclinical or Discovery Stage.
    • Pipeline drugs sponsored by a Government or Institution.
    • Drugs with a specific Drug Geography not the United States.

     

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