Survival Outcomes Among Lung Cancer Patients Treated Using a Multidisciplinary Team Approach

Clin Lung Cancer. 2018 Jul;19(4):346-351. doi: 10.1016/j.cllc.2018.01.006. Epub 2018 Feb 1.

Abstract

Background: Evidence favoring a multidisciplinary team (MDT) approach in the treatment of lung cancer is scarce, especially in the United States. The purpose of the present investigation was to evaluate survival outcomes of lung cancer patients treated with an MDT compared with a traditional care model.

Patients and methods: The Stony Brook Cancer Center Registry was used to identify all lung cancer cases diagnosed between 2002 and 2016. We compared survival outcomes among 1956 lung cancer patients participating in our institution's Lung Cancer Evaluation Center's (LCEC) MDT program and 2315 lung cancer patients receiving traditional care. Log-ranks tests were used to evaluate differences in the 1-, 3-, 5-, and 10-year survival outcomes between the 2 groups. To address inherent biases, Cox proportional hazard models were used to estimate the effects on survival outcomes and adjust for possible confounders. Propensity matching was also performed to account for the effects of selection bias.

Results: The 5-year survival rates in the propensity-matched sample were one third greater among LCEC patients compared with those receiving a traditional care approach (33.6% vs. 23.0%; P < .001). After adjusting for potential confounders in the multivariable propensity-matched analyses, the LCEC model demonstrated a significant beneficial effect on 5-year survival outcomes compared with the standard treatment model (hazard ratio, 0.65; 95% confidence interval, 0.54-0.77).

Conclusion: The results of the present investigation suggest an improved survival benefit from usage of an MDT model versus a traditional care model in the treatment of lung cancer. Despite the use of sophisticated statistical methods to mitigate bias in a nonrandomized study, additional research is needed to determine the extent to which an MDT approach for lung cancer influences patient outcomes.

Keywords: Health care usage; Integrated care model; Patient care models; Thoracic; Treatment approach.

MeSH terms

  • Aged
  • Delivery of Health Care, Integrated / methods*
  • Delivery of Health Care, Integrated / organization & administration
  • Female
  • Humans
  • Lung Neoplasms / mortality*
  • Lung Neoplasms / therapy*
  • Male
  • Medical Oncology / methods*
  • Medical Oncology / organization & administration
  • Middle Aged
  • Patient Care Team / organization & administration*
  • Registries
  • Retrospective Studies