Unlocking Insights
in Multiple Myeloma
Multiple Myeloma Dataset Insights
Our dataset° provides valuable insights into Multiple Myeloma, including but not limited to:
+585
Estimated N MM Patients
72.48
years
Average age at diagnosis
9.79%
Average % of Patients TCE*
348
Endpoints
48
visits
Average visits per patient
5.6
years
Mean FU period
*TCE: Triple Class Exposed
Note that the estimated patient counts provided (prior to inclusion/exclusion criteria) are specific to our Belgian dataset. The LynxCare datasets continue to expand, encompassing real-world data from hospitals across Europe. Complete the request feasibility form linked above to discuss your study needs with one of our RWE experts.
Closing the Gap
The Value of Unstructured Data in the CLL Pathway
Structured vs. Unstructured
Structured data alone only provides part of the picture, missing key nuances. Combining structured data with rich EHR narrative data can improve our understanding of MM pathophysiology, outcomes and characteristics at diagnosis, as evidenced by our data which yielded a higher prevalence of atrial fibrillation (a common comorbidity in MM patients) of 19.6% (NLP enriched) vs 12.5% with structured data only, resulting in a 56.8% relative increase.
RCT vs. RWE
Recent studies demonstrated that 40% of newly diagnosed MM patients are ineligible for RCT inclusion demonstrating the need for real world data on survival, adverse events and better characterization of the real-world population for future RCT's.
Real-World Insights into the Patient Journey
Using our federated real-world dataset, we can analyze adverse events, OS, and treatment patterns in real time, providing invaluable insights into the patient pathway of MM.
Unpacking The Data
The Sources Behind Our Insights
Unlock Research Questions
Our dataset offers life science companies unparalleled insights into the relationship between specific biomarkers, comorbidities, and treatment outcomes in MM.
Research Question/ Endpoints
Demographics
Cancer type
Histology
Comorbidities
Lab results
Cancer treatment
Hospital visit & admissions
Survival
Biomarkers
Genetic drivers
Outcomes
Adverse events
Complications
Titration / Dosing
Treatment dynamics
Incidence & Prevalence
Adherence
Efficacy
Indication split
Safety profile
How Pharma Can Leverage LynxCare's Dataset
Clinical Trial Design
Our granular and quality-controlled real-world dataset can help design clinical trials that better reflect real-world scenarios.
Synthetic Control Arm
Our dataset can be used to create synthetic control arms, which can be used to evaluate the effectiveness of new treatments.
Market Access
Our dataset can help pharma companies gain a better understanding of the market and generate granular value dossiers for HEOR.
Medical Affairs
Our dataset can help medical affairs teams better understand the clinical outcomes and real-world evidence associated with their products.
How Hospitals Can Benefit from a LynxCare Database
Improving Patient Care
Find more relevant medical information thanks to LynxCare's disease-specific NLP pipeline for a better patient and population understanding.
Research & Network Opportunities
Initiate or participate in national and international multi-center, multi-country RWE studies.
Benefit from network of KOLs.
Scientific Research
Initiate or participate in (pharma- or physician initiated) peer-reviewed (multi-center, multi-country) publications
Increased Clinical Trial Participation
More effective patients/cohort selection through clinical NLP, enrolling more patients in clinical trials
Improve your Data Quality
Receive feedback on the clinical data quality of your hospital’s database.
Benefit from data science training provided
World-Class Expertise.
The LynxCare Advantage
Differentiating factors from other NLP providers & established RWD vendors
Building Trust
Quality Control and Data Freshness
Quality Control
Data Freshness
OMOP CDM Data Warehouse
Patient Insights
More Than Numbers
Individualized Care
Cross-Disciplinary Collaboration
Impact on Patient Outcomes
The Future of Multiple Myeloma Treatment
How LynxCare Can Help
Personalized Medicine
With our comprehensive dataset and world-class expertise, LynxCare is well-positioned to help clinicians tailor treatments to specific patient needs, opening up the possibility of personalized medicine for MM. Our data asset provides valuable insights into individual pathways of MM patients, enabling clinicians to make more informed treatment decisions.
Improved Outcomes
Our data asset aims to ultimately improve patient outcomes by providing insights into the clinical pathway of MM patients. By analysing real-world patient data, our dataset offers a unique perspective on the effectiveness and safety of different treatments. This information can help clinicians make more informed treatment decisions, leading to better outcomes for patients.
Continued Innovation
LynxCare is committed to driving innovation in MM treatment and management. With our world-class expertise in data analysis and interpretation, we aim to continue to provide valuable insights and solutions to healthcare providers and researchers. Our comprehensive dataset offers a wealth of information for life science companies and other stakeholders interested in advancing MM therapy.
° LynxCare datasets concern datasets within the LynxCare's European hospital network. The hospitals are the data controllers. No commitment before site approval on RWE request.
