| Title |
Colorectal cancer health services research study protocol: the CCR-CARESS observational prospective cohort project
|
|---|---|
| Published in |
BMC Cancer, July 2016
|
| DOI | 10.1186/s12885-016-2475-y |
| Pubmed ID | |
| Authors |
José M. Quintana, Nerea Gonzalez, Ane Anton-Ladislao, Maximino Redondo, Marisa Bare, Nerea Fernandez de Larrea, Eduardo Briones, Antonio Escobar, Cristina Sarasqueta, Susana Garcia-Gutierrez, Urko Aguirre, for the REDISSEC-CARESS/CCR group |
| Abstract |
Colorectal 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. a 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. 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. 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. ClinicalTrials.gov Identifier: NCT02488161 . Registration date: June 16, 2015. |
X Demographics
The data shown below were collected from the profiles of 19 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 6 | 32% |
| United Kingdom | 2 | 11% |
| Colombia | 1 | 5% |
| Uzbekistan | 1 | 5% |
| Zimbabwe | 1 | 5% |
| Unknown | 8 | 42% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 47% |
| Practitioners (doctors, other healthcare professionals) | 6 | 32% |
| Scientists | 2 | 11% |
| Science communicators (journalists, bloggers, editors) | 2 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 118 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | <1% |
| Unknown | 117 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 22 | 19% |
| Student > Bachelor | 12 | 10% |
| Student > Ph. D. Student | 11 | 9% |
| Student > Master | 10 | 8% |
| Student > Doctoral Student | 8 | 7% |
| Other | 23 | 19% |
| Unknown | 32 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 38 | 32% |
| Psychology | 14 | 12% |
| Nursing and Health Professions | 12 | 10% |
| Engineering | 4 | 3% |
| Computer Science | 3 | 3% |
| Other | 8 | 7% |
| Unknown | 39 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 July 2018.
All research outputs
#2,913,925
of 23,577,761 outputs
Outputs from BMC Cancer
#610
of 8,532 outputs
Outputs of similar age
#52,925
of 357,176 outputs
Outputs of similar age from BMC Cancer
#12
of 256 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,532 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done particularly well, scoring higher than 92% of its peers.
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We're also able to compare this research output to 256 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.