Does presentation at multidisciplinary team meetings improve lung cancer survival? Findings from a consecutive cohort study
- Publication Type:
- Journal Article
- Lung Cancer, 2018, 124 pp. 199 - 204
- Issue Date:
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© 2018 Elsevier B.V. Background: Multidisciplinary team (MDT) presentation in lung cancer has the potential to improve longterm outcomes, although this varies between studies. This study aims to evaluate outcomes including survival, according to MDT presentation and to explore the utility of data obtained from local clinical sources. Patients and methods: Prospective cases of lung cancer recorded in our institution's cancer registry were analyzed according to MDT presentation for patient and tumour characteristics, adjusted survival and referral to palliative care. Results: 1197 cases were included, 295 (24.6%) with MDT presentation and 902 (75.4%) without. 60% of patients were male with median (IQR) age at diagnosis of 70 years (62–78). Histopathology distribution (non-small cell lung cancer and small-cell lung cancer) was similar between the two groups. Compared with the non-MDT group, the MDT group had (1) ECOG score recorded more often (71.9% vs. 47.6%), (2) higher proportion of ECOG 0 cases (31.2% vs. 11.9%) and ECOG 1 cases (28.8% vs. 20.3%), (3) higher proportion of early stage disease (stage I - 23.1% vs. 9.7% stage II - 10.2% vs. 4.8%, stage IIIA - 14.6% vs 6.3%) and (4) lower proportion of metastatic disease (stage IV - 39.3% vs. 56.1%). Referral to palliative care was incompletely recorded in both groups (MDT: n = 116/295, 39.3%; non-MDT: n = 430, 47.7%) but did not differ significantly for stage IV cases. Survival analyzed by stage was greater in the MDT group at 1, 2 and 5 years for all stages except stage IIIB at 1 year post-diagnosis. Adjusted survival analysis for the entire cohort showed improved survival at 5 years for the MDT group (HR 0.7 (0.58-0.85), p < 0.001). Conclusion: MDT presentation is associated with improved adjusted survival for lung cancer in this single institutional cohort in an analysis of local clinical cancer registry data.
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