A cross-country review of data collected on non-small cell lung cancer (NSCLC) patients in cancer registries, databases, retrospective and non-randomized prospective studies
Bibliographic record
Abstract
INTRODUCTION: An increased number of pharmacotherapies exist to treat advanced NSCLC. This necessitates a review of the available information on routine-care treatment patterns, the outcome of treatment, and resource utilization for patients diagnosed and treated with advanced NSCLC that could inform evidence-based treatment decisions and aid decisions on the most cost-effective treatment alternatives. METHODS: PubMed and the Health Economic Evaluations Database were searched for retrospective or non-randomized prospective studies between January 2000 and May 2012 that included information on treatment patterns, treatment outcomes including health-related quality-of-life (HRQoL), and resource utilization. In addition, registries and databases were identified from retrieved publications and internet searches. Data collected in registries and databases was summarized for eight European countries (Belgium, France, Germany, Italy, Sweden, Turkey, the Netherlands, the UK), Australia, and Canada. RESULTS: The literature search resulted in 410 studies, whereof 87 studies met the study inclusion criteria. In total, 49 were retrospective chart reviews or database analyses, 30 non-randomized prospective studies, and eight HRQoL studies. Two studies compared treatment patterns and/or treatment outcomes across countries. Altogether, 181 cancer registries in the countries studied were identified. Clinical cancer-specific patient registries were identified in Australia and Germany. Databases or linkage systems that enable retrieval of complete information of patient disease history were found in Australia, Canada, the Netherlands, Sweden, and the UK. Cancer registries and databases were found to collect information on NSCLC patient demographics, NSCLC or lung cancer diagnosis, disease stage, performance status, treatment, treatment outcomes, and resource use. Differences existed between country registries and databases in whether information was collected on each of these data points. CONCLUSION: The literature review revealed few published NSCLC studies on treatment, treatment outcomes, and resource use in routine clinical practice and on HRQoL. Registries and databases were found to collect some of this information, however not systematically.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.006 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".