Clinical trial · Observational
20K Distributed Learning Challenge
Distributed Learning of a Survival Model in More Than 20.000 Lung Cancer Patients
NCT03564457CI-TRIAL-00037507completedClinicalTrials.gov clinicaltrialsProvenance
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
Machine learn a predictive model from more than 20.000 non-small cell lung cancer patients from more than 5 health care providers from more than 5 countries.
Conditions
Conditions (1)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Non Small Cell Lung Cancer | Lung Non-Small Cell Carcinoma | ALIAS | 0.90 |
Interventions
Interventions (1)
| Intervention | Type | Mapped drug | Match |
|---|---|---|---|
| No interventions will take place (observational) | Other | — | UNRESOLVED |
Design
Arms and outcomes
Arms (1)
- label
- One group of 20.000 patients
- description
- No interventions will take place as this is an observational study
- interventionNames
- Other: No interventions will take place (observational)
Primary outcomes (1)
- measure
- Overall survival
- timeFrame
- 2 years after (any) treatment for non small cell lung cancer
- description
- Overall survival
Eligibility
Eligibility (as posted)
- Sex
- All
Show eligibility criteria text
Inclusion Criteria: * Non small cell lung cancer * Treated in one of the participating hospitals Exclusion Criteria: * No non small cell lung cancer * Not treated in one of the participating centers
References
Publications (0)
Data not yet available
No reference posted for this study.