scholarly journals P127 Developing a colorectal cancer risk prediction tool for patients with ulcerative colitis and low-grade dysplasia

2018 ◽  
Vol 12 (supplement_1) ◽  
pp. S157-S158 ◽  
Author(s):  
M Kabir ◽  
K Curtius ◽  
I Al-Bakir ◽  
C -H R Choi ◽  
T Graham ◽  
...  
2019 ◽  
Vol 36 (6) ◽  
pp. 730-735 ◽  
Author(s):  
Elena C Harty ◽  
Jennifer G McIntosh ◽  
Adrian Bickerstaffe ◽  
Nadira Hewabandu ◽  
Jon D Emery

Abstract Objective Australia and New Zealand have the highest incidence of colorectal cancer (CRC) globally. Our research team has developed a CRC risk prediction tool for use in primary care to increase targeted screening. This study, Colorectal cancer RISk Prediction tool – patient (‘CRISP-P’), aimed to determine the following to inform a future trial design: (i) the feasibility of self-reporting; (ii) the feasibility of recruitment methods; and (iii) the prevalence of CRC risk. Methods Participants aged between 40 and 75 years were recruited consecutively from three primary care waiting rooms. Participants input data into CRISP on a tablet without receiving clinical advice. Feasibility was evaluated using recruitment rate, timely completion, a self-reported ‘ease-of-use’, score and field notes. Prevalence of CRC risk was calculated using the CRISP model. Results Five hundred sixty-one (90%) patients agreed to use the tool and 424 (84%) rated the tool easy to use. Despite this, 41% of people were unable to complete the questions without assistance. Patients who were older, without tertiary education or with English as their second language were more likely to require assistance (P < 0.001). Thirty-nine percent of patients were low risk, 58% at slightly increased and 2.4% were at moderately increased risk of developing colorectal cancer in the next 5 years. Conclusions The tool was perceived as easy to use, although older, less educated people, and patients with English as their second language needed help. The data support the recruitment methods but not the use of a self-completed tool for an efficacy trial.


Author(s):  
Kit Curtius ◽  
Misha Kabir ◽  
Ibrahim Al Bakir ◽  
Chang-Ho Ryan Choi ◽  
Juanda Hartono ◽  
...  

2020 ◽  
Author(s):  
Kit Curtius ◽  
Misha Kabir ◽  
Ibrahim Al Bakir ◽  
Chang-Ho Ryan Choi ◽  
Juanda Hartono ◽  
...  

AbstractBackground and AimsUlcerative colitis (UC) patients diagnosed with low-grade dysplasia (LGD) have increased risk of developing advanced neoplasia (AN; high-grade dysplasia or colorectal cancer). We aimed to develop and validate a predictor of AN risk in UC patients with LGD and create a visual web-tool to effectively communicate the risk.MethodsIn our retrospective multi-centre validated cohort study, adult UC patients with an index diagnosis of LGD, identified from four UK centres between 2001-2019, were followed until progression to AN. In the discovery cohort (n=248), a multivariate risk prediction model was derived from clinicopathological features using Cox regression. Validation used data from 3 external centres (n=201). The validated model was embedded in a web-based tool to calculate and illustrate patient-specific risk.ResultsFour endoscopic variables were significantly associated with future AN progression in the discovery cohort: endoscopically visible LGD > 1 cm (HR = 2.8; 95% CI 1.3-6.0), incomplete endoscopic resection (HR = 2.9; 95% CI 1.3-6.5), moderate/severe histological inflammation within 5 years of LGD diagnosis (HR = 3.0; 95% CI 1.3- 6.7), and multifocality (HR = 2.8; 95% CI 1.3-6.1). In the validation cohort, this 4-variable model accurately predicted future AN cases with overall calibration Observed/Expected = 1 (95% CI 0.63-1.5), and achieved perfect specificity for the lowest predicted risk group over 13 years of follow-up.ConclusionMulti-cohort validation confirms that patients with large, unresected, and multifocal LGD and recent moderate/severe inflammation are at the highest risk of developing AN. Personalised risk prediction provided via the Ulcerative Colitis-Cancer Risk Estimator web-tool (www.UC-CaRE.uk) can be used to support treatment decision-making.


2021 ◽  
Author(s):  
Shakira Milton ◽  
Jon D Emery ◽  
Jane Rinaldi ◽  
Joanne Kinder ◽  
Adrian Bickerstaffe ◽  
...  

Abstract BackgroundWe developed a colorectal cancer risk prediction tool (‘CRISP’) to provide individualised risk-based advice for colorectal cancer screening. Using known environmental, behavioural, and familial risk factors, CRISP was designed to facilitate tailored screening advice to patients aged 50 to 74 years in general practice. In parallel to a randomised controlled trial of the CRISP tool, we developed and evaluated an evidence-based implementation strategy.MethodsQualitative methods were used to explore the implementation of CRISP in general practice. Using one general practice in regional Victoria, Australia as a ‘laboratory’, we tested ways to embed CRISP into routine clinical practice. General practitioners, nurses, and a practice manager co-designed the implementation methods with researchers, focussing on existing practice processes that would be sustainable. Researchers interviewed the staff regularly to assess the successfulness of the strategies employed, and implementation methods were adapted throughout the study period in response to feedback from qualitative interviews.The Consolidated Framework for Implementation Research (CFIR) underpinned the development of the interview guide and intervention strategy. Coding was inductive and themes were developed through consensus between the authors. Emerging themes were mapped onto the CFIR domains and a fidelity checklist was developed to ensure CRISP was being used as intended.Results Between December 2016 and September 2019, eleven interviews were conducted, both face-to-face and via videoconferencing (Zoom). All interviews were transcribed verbatim and coded. Themes were mapped onto the following CFIR domains: 1. ‘characteristics of the intervention’: CRISP was valued but time consuming; 2. ‘inner setting’: the practice was open to changing systems; 3. ‘outer setting’: CRISP helped facilitate screening; 4. ‘individual characteristics’: the practice staff were adaptable and able to facilitate adoption of new clinical processes; and 5. ‘processes’: fidelity checking and education was important.ConclusionsThese results describe a novel method for exploring implementation strategies for a colorectal cancer risk prediction tool in the context of a parallel RCT testing clinical efficacy. The study identified successful and unsuccessful implementation strategies using an adaptive methodology over time. This method emphasised the importance of co-design input to make an intervention like CRISP sustainable for use in other practices and with other risk tools.Trial registrationN/A


2021 ◽  
Author(s):  
Minta Thomas ◽  
Lori C Sakoda ◽  
Jeffrey K Lee ◽  
Mark A Jenkins ◽  
Andrea Burnett-Hartman ◽  
...  

Gene ◽  
2018 ◽  
Vol 673 ◽  
pp. 174-180 ◽  
Author(s):  
Junyi Xin ◽  
Haiyan Chu ◽  
Shuai Ben ◽  
Yuqiu Ge ◽  
Wei Shao ◽  
...  

2020 ◽  
Vol 3 ◽  
Author(s):  
Bradley J. Nartowt ◽  
Gregory R. Hart ◽  
Wazir Muhammad ◽  
Ying Liang ◽  
Gigi F. Stark ◽  
...  

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