PI18/01589

/PI18/01589
PI18/015892020-04-01T15:16:32+00:00

Identification of risk factors for adverse events and quality of life in survivors of colon and rectal cancers at 8 and 10 years post-surgery follow-up

Record no.: PI18/01589

Proyect:  

Identification of risk factors for adverse events and quality of life in survivors of colon and rectal cancers at 8 and 10 years post-surgery follow-up.

Project description: 

Objetives: 

1.- Separately determine and weigh risk factors for the appearance at 8 and 10 years after surgical intervention in patients with colon or rectal cancer of: a) death; b) re-admission; c) appearance of new comorbidities; and d) new tumours in other sites (in these same patients).

2.- Identify which factors are related to changes in their quality of life in the 8th and 10th year after the intervention, compared to the patient’s condition before any treatment.

3.- Determine differences in the changes produced in the quality of life, anxious-depressive symptoms and socioeconomic aspects following 8 and 10 years, compared to those of the general population.

4.- Create predictive rules for each of the former results.

5- Compare the number of adverse events and re-admissions of patients diagnosed through screening and those diagnosed pursuant to the presence of symptoms.

6.- Asses inter-hospital variability and equity problems.

Methodology:

Design: 

Follow-up study of established prospective cohorts (CARESS-CCR, CARESS-CCR-II project) of patients who have undergone colon or rectal cancer surgery between 2010 (end of year) and late 2011.

Monitoring:  

8 and 10 years.

Centres participating:  

7 public hospitals from the Basque Country (5) and Catalonia (2) out of 19 centres throughout Spain. Study subjects: patients prospectively diagnosed with colon or rectal cancer recruited during the first year of the CARESS-CCR study who underwent surgery and were alive for CARESS-CCR-II, compared to the general population (subjects without cancer).

Variables:  

Sociodemographic parameters, clinical parameters (tumour, surgery, admission and follow-up at 1, 2, 3, 5, 8 and 10 years) and questionnaires given to the patient.

Statistical analysis: 

Predictive models will be created in the total sample, in which the possible predictive parameters of the results to be assessed will be identified. Predictive models with good discriminatory capacity will be created and resampling techniques will be applied as internal validation. Mixed generalized models and Cox models shall be used.


Funding body:  

Carlos III Health Institute, European Regional Development Fund (ERDF)-”A way to make Europe”.

Amount Awarded: €99,825