Clinical trial · Observational
Rapid Learning for Lung Cancer
Rapid Learning in Practice: A Lung Cancer Survival Decision Support System in Routine Patient Care Data
NCT01949259CI-TRIAL-00024101completedClinicalTrials.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)
A retrospective, data mining project that re-uses routine patient care data for decision support systems.
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 |
|---|---|---|---|
| Lung Cancer | Malignant Lung Neoplasm | CURATED_EXACT | 0.92 |
Interventions
Interventions (0)
Data not yet available
No intervention recorded.
Design
Arms and outcomes
Arms (1)
- label
- Retrospective collection
- description
- Retrospective collection of data from included lung cancer patients.
Primary outcomes (1)
- measure
- Survival
- timeFrame
- From radiotherapy until death
- description
- Retrospective data will be collected from each included patient from start of radiotherapy until end of study or death (an expected average of 10 years).
Secondary outcomes (4)
- measure
- Local control
- timeFrame
- From start of treatment until death,
- description
- Data will be collected from inclusion in the study until end of study of death (an expected average time frame of 10 years) concerning the local control of this tumour.
Eligibility
Eligibility (as posted)
- Sex
- All
Show eligibility criteria text
Inclusion Criteria: \- Patients notes as suffering from lung cancer in at least one clinical data source.
References
Publications (0)
Data not yet available
No reference posted for this study.