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Updated: Feb 2, 2026

Generation of Comprehensive Thoracic Oncology Database - Tool for Translational Research
Published on: January 22, 2011
Achieving Thoracic Oncology data collection in Europe: a precursor study in 35 Countries
Anna Rich1, David Baldwin2, Inmaculada Alfageme3
1Department of Respiratory Medicine, Nottingham University Hospitals, City campus, Hucknall Road, Nottingham, NG5 1PB, UK. Anna.rich@nottingham.ac.uk.
Lung cancer data collection varies significantly across Europe. This study highlights the need for standardized, high-quality data to compare services and improve patient outcomes across the continent.
Area of Science:
- Oncology
- Public Health
- Health Services Research
Background:
- International comparisons of lung cancer data are limited.
- The extent and nature of lung cancer data collection across Europe are largely unknown.
- Accurate data is crucial for benchmarking and improving lung cancer services.
Purpose of the Study:
- To assess current lung cancer data collection practices in European countries.
- To identify variations in data collection mechanisms across the continent.
- To inform the development of standardized data collection for clinical research.
Main Methods:
- A survey was distributed to lung cancer specialists in 37 European countries in December 2014.
- Results reflect practices in early 2015 and were compiled and verified by co-authors.
- An established network of specialists facilitated data collection.
Main Results:
- Thirty-five completed surveys were received, detailing diverse data collection practices.
- 30 countries reported national-level data collection; Albania, Bosnia-Herzegovina, Italy, Spain, and Switzerland did not.
- Data collection ranged from paper records to sophisticated electronic databases with survival analysis.
Conclusions:
- Validated comparative data reveal significant differences in European lung cancer data collection.
- There is a clear need for a well-designed dataset for clinical research.
- Future efforts should focus on feasible, high-quality data collection across all countries.
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