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1.
Eur Respir J ; 36(2): 401-7, 2010 Aug.
Article in English | MEDLINE | ID: mdl-20075046

ABSTRACT

Our study describes the new seventh edition of the TNM system for lung cancer in a national population and its clinical implications. We classified 1,885 operated patients with lung cancer, reported to the Cancer Registry of Norway (Oslo, Norway) from 2001 to 2005, according to the sixth and the seventh edition of the TNM system. We compared survival differences adjusting for known prognostic factors. Furthermore, we evaluated the overall predictive ability of both editions using Harrell's concordance index. Survival curves by stage for each of the editions were similar; however, a better description of stage IIIB was observed in the seventh edition. Survival rates of T1b and T2a tumours were similar (log rank p = 0.94). The concordance index was 0.68 for both editions, indicating no overall difference in their predictive accuracy. In the seventh edition, 211 (29%) stage IB patients migrated to stage II and 161 (48%) patients migrated from stage IIB to IIA. Stage migrations could change the treatment for up to 326 (17.3%) of the study patients. The seventh edition did not improve the overall predictive ability of the TNM system; however, the new classification implies changes in treatment for nearly one-fifth of the cases. The implications of the seventh TNM edition for the outcomes of patients should be studied further.


Subject(s)
Lung Neoplasms/pathology , Neoplasm Metastasis , Pulmonary Medicine/standards , Adult , Aged , Aged, 80 and over , Female , Humans , Lung Neoplasms/diagnosis , Lung Neoplasms/mortality , Male , Middle Aged , Neoplasm Staging , Prospective Studies , Pulmonary Medicine/methods , Registries , Reproducibility of Results , Survival Rate
2.
Thorax ; 63(10): 866-71, 2008 Oct.
Article in English | MEDLINE | ID: mdl-18390631

ABSTRACT

BACKGROUND: To investigate whether the introduction of modern third-generation chemotherapy was associated with survival benefits in a national population of patients with advanced non-small cell lung cancer (ANSCLC) and to explore geographical and temporary variations in the utilisation of chemotherapy. METHODS: All patients with ANSCLC in the Cancer Registry of Norway during 1994-2005 were included. Using sales of vinorelbine as an indicator for chemotherapy, annual county utilisation rates were calculated. Survival before and after the general introduction of vinorelbine and associations between survival and variations in utilisation in counties were investigated. In a subgroup, the predictors of having received chemotherapy were explored. RESULTS: Of 24 875 registered patients with lung cancer, 13 757 had ANSCLC. The annual utilisation of the indicator drug in Norway increased from 3.7 to 184.2 g (1998-2005). Median survival increased from 149 to176 days (p<0.001). The adjusted hazard ratio (HR) for a diagnosis after the introduction was 0.93 (95% CI 0.88 to 0.99). County utilisation rates of vinorelbine (increments of 100 mg/1000 inhabitants) were inversely associated with the risk of death (HR 0.84, 95% CI 0.73 to 0.98). County of residence predicted chemotherapy utilisation with odds ratios in the range 0.13 (95% CI 0.1 to 0.19) to 1.04 (95% CI 0.64 to 1.69), a county with traditionally high utilisation as reference. CONCLUSION: Utilisation of third-generation chemotherapy was associated with slightly increased survival of patients with ANSCLC. Geographical and temporal differences in utilisation indicate variable quality of delivered care.


Subject(s)
Antineoplastic Combined Chemotherapy Protocols/therapeutic use , Carcinoma, Non-Small-Cell Lung/drug therapy , Lung Neoplasms/drug therapy , Aged , Carcinoma, Non-Small-Cell Lung/mortality , Drug Utilization Review , Female , Humans , Lung Neoplasms/mortality , Male , Norway/epidemiology , Survival Analysis , Treatment Outcome , Vinblastine/administration & dosage , Vinblastine/analogs & derivatives , Vinorelbine
3.
Thorax ; 61(8): 710-5, 2006 Aug.
Article in English | MEDLINE | ID: mdl-16601091

ABSTRACT

BACKGROUND: Very few population based results have been presented for survival after resection for lung cancer. The purpose of this study was to present long term survival after resection and to quantify prognostic factors for survival. METHODS: All lung cancer patients diagnosed in Norway in 1993-2002 were reported to the Cancer Registry of Norway (n = 19 582). A total of 3211 patients underwent surgical resection and were included for analysis. Supplementary information from hospitals (including co-morbidity data) was collected for patients diagnosed in 1993-8. Five year observed and relative survival was analysed for patients diagnosed and operated in 1993-9. Factors believed to influence survival were analysed by a Cox proportional hazard regression model. RESULTS: Five year relative survival in the period 1993-9 was 46.4% (n = 2144): 58.4% for stage I disease (n = 1375), 28.4% for stage II (n = 532), 15.1% for IIIa (n = 133), 24.1% for IIIb (n = 63), and 21.1% for stage IV disease (n = 41). The high survival in stage IIIb and IV was due to the contribution of multiple tumours. Cox regression analysis identified male sex, higher age, procedures other than upper and middle lobectomy, histologies such as adenocarcinoma and large cell carcinoma, surgery on the right side, infiltration of resection margins, and larger tumour size as non-favourable prognostic factors. CONCLUSIONS: Survival was favourable for resected patients in a population based group including subgroups such as elderly patients, those with advanced stage, small cell lung cancer, tumours with nodal invasion, and patients with multiple tumours. These results question the validity of the current TNM system for lung cancer with regard to tumour size and categorization of multiple tumours.


Subject(s)
Lung Neoplasms/mortality , Lung Neoplasms/surgery , Adolescent , Adult , Aged , Aged, 80 and over , Child , Female , Humans , Lung Neoplasms/pathology , Male , Middle Aged , Norway/epidemiology , Pneumonectomy/mortality , Registries , Regression Analysis , Survival Analysis
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