ArticleBMC cancer2016
Colorectal cancer health services research study protocol: the CCR-CARESS observational prospective cohort project.
Article in BMC cancer, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02488161 (Risk Factors of Adverse Outcomes at Short and Medium Term, and Development of Predictive Models, in Patients With Colorectal Cancer. IRYSS-coordinated Multicenter Study), which is not on this map. Cited by 22 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Risk Factors of Adverse Outcomes at Short and Medium Term, and Development of Predictive Models, in Patients With Colorectal Cancer. IRYSS-coordinated Multicenter Study
Who cites it
22 citing papers in PubMed.
- Predictors of one and two years' mortality in patients with colon cancer: A prospective cohort study.PloS one · 2018Trial
- Ten-Year Outcomes in Colorectal Cancer-Competing Risks and Patient Vulnerability: A Prospective Multicenter Observational Study.Journal of clinical medicine · 2026Article
- RANKL/RANK signaling recruits Tregs via the CCL20-CCR6 pathway and promotes stemness and metastasis in colorectal cancer.Cell death & disease · 2024Article
- Comparison of changes in health-related quality of life between elderly and non-elderly patients undergoing elective surgery for colorectal cancer.International journal of colorectal disease · 2023Article
- Quality Indicators and Outcomes in a Prospective Cohort of Colorectal Cancer Patients.Journal of gastrointestinal cancer · 2023Article
- Anxiety, depression, health-related quality of life, and mortality among colorectal patients: 5-year follow-up.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2022Observational
- Influence of Diagnostic Delay on Survival Rates for Patients with Colorectal Cancer.International journal of environmental research and public health · 2022Observational
- Risk scores to predict mortality 2 and 5 years after surgery for colorectal cancer in elderly patients.World journal of surgical oncology · 2021Observational
- Gender differences in stage at diagnosis and preoperative radiotherapy in patients with rectal cancer.BMC cancer · 2020Observational
- Predictors of readmission and reoperation in patients with colorectal cancer.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2020Article
- Stage- and age-adjusted cost-effectiveness analysis of laparoscopic surgery in rectal cancer.Surgical endoscopy · 2020Observational
- Risk factors affecting hospital stay among patients undergoing colon cancer surgery: a prospective cohort study.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2019Article
- Colorectal cancer cell-derived CCL20 recruits regulatory T cells to promote chemoresistance via FOXO1/CEBPB/NF-κB signaling.Journal for immunotherapy of cancer · 2019Article
- Article
- Wnt-11 as a Potential Prognostic Biomarker and Therapeutic Target in Colorectal Cancer.Cancers · 2019Article
- Cost-effectiveness analysis of laparoscopic versus open surgery in colon cancer.Surgical endoscopy · 2018Observational
- Factors Associated with Prolonged Patient-Attributable Delay in the Diagnosis of Colorectal Cancer.Cancer research and treatment · 2018Observational
- Validity of the CR-POSSUM model in surgery for colorectal cancer in Spain (CCR-CARESS study) and comparison with other models to predict operative mortality.BMC health services research · 2018Article
- Outcomes of open versus laparoscopic surgery in patients with rectal cancer.International journal of colorectal disease · 2018Article
- Combining statistical techniques to predict postsurgical risk of 1-year mortality for patients with colon cancer.Clinical epidemiology · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundColorectal cancers are one of the most common forms of malignancy worldwide. But two significant areas of research less studied deserve attention: health services use and development of patient stratification risk tools for these patients.
methods
designa prospective multicenter cohort study with a follow up period of up to 5 years after surgical intervention. Participant centers: 22 hospitals representing six autonomous communities of Spain. Participants/Study population: Patients diagnosed with colorectal cancer that have undergone surgical intervention and have consented to participate in the study between June 2010 and December 2012. Variables collected include pre-intervention background, sociodemographic parameters, hospital admission records, biological and clinical parameters, treatment information, and outcomes up to 5 years after surgical intervention. Patients completed the following questionnaires prior to surgery and in the follow up period: EuroQol-5D, EORTC QLQ-C30 (The European Organization for Research and Treatment of Cancer quality of life questionnaire) and QLQ-CR29 (module for colorectal cancer), the Duke Functional Social Support Questionnaire, the Hospital Anxiety and Depression Scale, and the Barthel Index. The main endpoints of the study are mortality, tumor recurrence, major complications, readmissions, and changes in health-related quality of life at 30 days and at 1, 2, 3 and 5 years after surgical intervention. STATISTICAL ANALYSIS: In relation to the different endpoints, predictive models will be used by means of multivariate logistic models, Cox or linear mixed-effects regression models. Simulation models for the prediction of discrete events in the long term will also be used, and an economic evaluation of different treatment strategies will be performed through the use of generalized linear models. DISCUSSION: The identification of potential risk factors for adverse events may help clinicians in the clinical decision making process. Also, the follow up by 5 years of this large cohort of patients may provide useful information to answer different health services research questions.
trial registrationClinicalTrials.gov Identifier: NCT02488161 . Registration date: June 16, 2015.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.