Unlock insights in Immuno-Oncology
Immuno-Oncology Dataset Insights
Our dataset* provides valuable insights into breast cancer, including but not limited to:
+2000
Estimated N Patiens on ICI
4.2
years
Mean FU period
8
N ICI's
+597
Endpoints
Top 5 Indications (%)
- Lung Cancer (54.9%)
- Renal Cancer (9.2%)
- BladderCancer (7.3%)
- Melanoma (6.1%)
- Head & Neck Cancer (5.9%)
42
(135 identified)
N Adverse Events
10
(29 identified)
N Biomarkers
23.8
months
Mean OS
21
N Cancer Types
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 Immuno-Oncology.
Comorbidity Data Gap
The majority of randomized clinical trials for immuno-oncology exclude patients with significant comorbidities, yet these patients make up a large proportion of the immuno-oncology population.Our data asset offers insights into the relationship of specific comorbidities, adverse events and biomarkers with immuno-oncology prognosis, bridging an important knowledge gap and informing treatment and follow-up decisions.
Evidenced by our data which yielded a higher prevalence of Dementia of 10% compared to 5% with structured data alone.
Reason for treatment line switch
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 toxicity reasons, as evidenced by our data which yielded a higher auto-immune disease detection of 13.5 % compared to 4.7 % with structured data alone.
Real-World Insights
Using our real-world dataset, with a mean follow-up time of over four years, we can analyze adverse events, OS, and treatment patterns in real time, providing invaluable insights into the patient pathway of immuno-oncology.
Unpacking The Data
The Sources Behind Our Insights
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 Immuno-Oncology Treatment
How LynxCare Can Help
Personalized Medicine
By providing insights into individual pathways of immuno-oncology patients, our data asset enablesclinicians to tailor treatments to specific patient needs, opening up the possibility of personalized medicine for immuno-oncology.
Improved Outcomes
By providing insights into the clinical pathway of immuno-oncology patients, our data asset aims to ultimately improve patient outcomes by providing valuable insights for clinicians and researchers.
Continued Innovation
With our comprehensive dataset and world-class expertise, we aim to continue to drive innovation in immuno-oncology treatment and management, ensuring that the latest insights and solutions are available to healthcare providers and researchers.
° 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.
