Chinese multi-institutional registry (CMIR) for resected non-small cell lung cancer: survival analysis of 5,853 cases
- PMID: 24409347
- PMCID: PMC3886697
- DOI: 10.3978/j.issn.2072-1439.2013.12.32
Chinese multi-institutional registry (CMIR) for resected non-small cell lung cancer: survival analysis of 5,853 cases
Abstract
Background: Concerns on surgical treatment of non-small cell lung cancer (NSCLC) have been increasing recent years. However, the significance of previous studies based on single center or regional experience in China was impaired by small sample size. Here we described a Chinese Multi-institutional Registry (CMIR) to address this disadvantage and proposed a further collaboration project.
Methods: Information of patients diagnosed with stage I to III NSCLC who underwent radical resection between 2001 and 2008 in seven institutions from the People's Republic of China was collected using a blinded standardized data form. Survival outcomes were calculated by Kaplan-Meier curves and Life-table method.
Results: A total of 5,853 patients who met the inclusion criteria were entered into the database. The average age was 58.9±10.7 years. Males (59.5%) and adenmocarcinoma (53.0%) represented the majority of all cases. Lobectomy (87.9%) was the major operation type in practice. The 5-year overall survival rates were 81.9% for stage IA, 71.6% for IB, 55.0% for IIA, 45.2% for IIB, 34.9% for IIIA and 23.3% for IIIB (P<0.001).
Conclusions: This is the first and the largest clinical database for resected NSCLC in China with optimal data quality. Future collaboration to expand and share this database nationwide is warranted.
Keywords: Non-small cell lung cancer (NSCLC); database; overall survival; resected.
Figures
References
-
- Jemal A, Siegel R, Xu J, et al. Cancer statistics, 2010. CA Cancer J Clin 2010;60:277-300 - PubMed
-
- National Comprehensive Cancer Network. NCCN Clinical Practice Guidelines in OncologyTM. Non-Small Cell Lung Cancer (2013. V2).
-
- Berk RA. An Introduction to Sample Selection Bias in Sociological Data. American Sociological Review 1983;48:386-98
-
- Kleinbaum DG. eds. Kaplan-Meier survival curves and the log-rank test in survival analysis: A self learning text (ed 2). New York, NY: Springer Verlag, 1997:45-76.
-
- Cutler SJ, Ederer F. Maximum utilization of the life table method in analyzing survival. J Chronic Dis 1958;8:699-712 - PubMed
LinkOut - more resources
Full Text Sources
Miscellaneous