[Web-mediated follow-up and prognosis in lung cancer patients]

Med Sci (Paris). Jun-Jul 2018;34(6-7):590-594. doi: 10.1051/medsci/20183406020. Epub 2018 Jul 31.
[Article in French]

Abstract

E-health is fashionable, but clinical evidence of its usefulness is rare and limited to reporting symptoms without specific analysis. The Chaos theory is applicable to the dynamics of the cancer and brings possibilities of use of its properties to develop useful, relevant and validated tools for cancer patients monitoring. The Chaos theory is applicable to the understanding of tumor dynamics due to interactions between tumor, host, endothelial and immune cells. Observability theory is one of its properties which suggests that the follow-up of the host (the patient via its symptoms and its weight) is a strong variable to evaluate the dynamics of the disease and its impact. Intensive follow-up and analysis of patients' symptoms to detect recurrences and clinical complications via a web-application (MoovcareTM) demonstrated its interest in nearly 300 patients in 4 prospective studies including 1 pilot trial showing a benefit of 27% survival rate at 1 year, and a randomized phase 3 trial with a 26% 1-year survival improvement as compared to a conventional follow-up. Six other intensive follow-up studies show favorable results in oncology for a total of more than 2,000 randomized patients.

Publication types

  • Review

MeSH terms

  • Continuity of Patient Care / organization & administration
  • Follow-Up Studies
  • Humans
  • Internet*
  • Lung Neoplasms / diagnosis*
  • Lung Neoplasms / mortality
  • Lung Neoplasms / therapy*
  • Monitoring, Physiologic / methods*
  • Prognosis
  • Survival Analysis
  • Telemedicine / methods*
  • Telemedicine / organization & administration