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Clinical Trial Details — Status: Completed

Administrative data

NCT number NCT02894801
Other study ID # PIOC 2015
Secondary ID
Status Completed
Phase N/A
First received August 30, 2016
Last updated September 5, 2016
Start date January 2013

Study information

Verified date September 2016
Source Centre Hospitalier Universitaire Dijon
Contact n/a
Is FDA regulated No
Health authority France: Commission nationale de l'informatique et des libertés
Study type Observational

Clinical Trial Summary

Colorectal cancer (CRC) has high incidence and is associated with high case fatality. In France, the 5-year survival, pooled across all cancer stages at diagnosis, ranges from 57% in men to 60% in women. About one third of patients diagnosed with CRC will develop a metachronous recurrence during the following years. It is of paramount importance to accurately identify factors associated with the increased risk of progression and death, in order to develop effective follow-up and treatment strategies. However, to accurately assess the role of patients' specific characteristics in the progression of cancer several methodological challenges need to be overcome.

One difficulty, common to prognostic studies of cancer, concerns the need to separate the effects of prognostic factors on different clinical endpoints, such as disease recurrence vs recurrence-free death. Another difficulty, encountered in prognostic studies, is that the cause of death is not available or not accurately coded. Yet, some patients are likely to die of causes not related to the disease of primary interest, especially in cancers with longer survival and in those that affect older subjects. Until recently, the existing statistical methodology was not able to simultaneously, deal with both difficulties, i.e. to account for (i) possibly different effects of prognostic factors on death vs recurrence, and (ii) unknown causes of death. However, this challenge has been addressed by the recent development of the Markov relative survival model (MRS) , which extends the Markov multi-state model to incorporate relative survival modelling. Simulations demonstrate that MRS is able to accurately estimate different effects of prognostic factors on the risk of each of several events, including separate effects on disease-specific vs other causes of death. To date, the MRS had not been applied in clinical or epidemiological studies.

The aim of this study was to assess the potential advantages of the new multi-state relative survival model (MRS), proposed by Huszti et al. (2012), in a prognostic cancer study. To this end, we compared the MRS results with those obtained with two more conventional analyses, based on Cox's proportional hazards model, and the multi-state Markov model proposed by Alioum and Commenges (2001). The three models were applied to explore the impact of prognostic factors on cancer-specific mortality and recurrence, in a large population-based French registry of colorectal cancer, with up to 25 years of follow-up.


Recruitment information / eligibility

Status Completed
Enrollment 5194
Est. completion date
Est. primary completion date December 2013
Accepts healthy volunteers No
Gender Both
Age group N/A and older
Eligibility Inclusion Criteria:

patient with primary digestive cancer between 1985 and 2000, TNM I-III, resected for cure, residing in Burgundy or Calvados, France

Exclusion Criteria:

metastatic cancer, non adenocarcinoma, recurrence within 6 month

Study Design

Observational Model: Cohort, Time Perspective: Retrospective


Related Conditions & MeSH terms


Locations

Country Name City State
France Chu Dijon Bourgogne Dijon

Sponsors (2)

Lead Sponsor Collaborator
Centre Hospitalier Universitaire Dijon Institut National de la Santé Et de la Recherche Médicale, France

Country where clinical trial is conducted

France, 

Outcome

Type Measure Description Time frame Safety issue
Primary death due to cancer 10 years after resection No
Primary death due to recurrence 10 years after resection
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