Combining Risk Factors and Faecal Immunochemical Testing in Colorectal Cancer Screening: a Randomized Controlled Trial
NCT ID: NCT04490551
Last Updated: 2021-08-13
Study Results
Results pending
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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Recruitment Status
COMPLETED
Clinical Phase
NA
Total Enrollment
6753 participants
Study Classification
INTERVENTIONAL
Study Start Date
2019-12-05
Study Completion Date
2021-06-01
Brief Summary
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Colorectal Carcinoma (CRC) is the third most frequent diagnosed cancer worldwide, with 1.4 million new cases every year. In an attempt to reduce this number many countries have implemented a nationwide screening programme targeted at detecting CRC in an early phase using fecal immunochemical tests (FITs). People with an elevated level of blood in their stool are offered a colonoscopy, an invasive medical procedure where CRCs and premalignant lesions (together also referred to as advanced neoplasia) can be detected accurately.
However, the current screening method using FIT is not optimal. In FIT-based CRC screening studies, 1 in 4 participants with CRC and 2 in 3 participants with advanced neoplasia receive a negative FIT result. In contrast, an estimated 1 in 2 FIT-positives have advanced neoplasia at colonoscopy.
Recent studies have demonstrated that a risk model that takes into account the FIT result and other risk factors for CRC could enhance the effectiveness of a FIT-based CRC screening programme.
The objective of this study is to assess the yield of advanced neoplasia in the colon and rectum of a FIT-based risk model at colonoscopy, compared to that of a FIT-only CRC screening strategy. Our hypothesis is that a risk-based model yields significantly more advanced neoplasia at colonoscopy than the FIT by itself, and that it does not affect participation rate.
To assess this hypothesis, the investigators have designed a clinical trial in which the investigators randomize 23,000 asymptomatic individuals between the age of 55 and 75 years old to either risk-based screening (intervention group) or FIT-only screening (control group). The intervention group will receive a questionnaire on risk factors of CRC (e.g. smoking, family history of CRC), and a FIT. The control group will only receive the FIT. The positivity threshold of the FIT in both groups will be set at 15 micrograms haemoglobin per gram faeces. The positivity threshold of the risk-based model in the intervention group will be set at 0.10 (out of a range of 0 to 1), a threshold that is calculated with a goal to match the positivity rate of the control group.
Participants with a result that is above the thresholds of the FIT and/or the risk-based model will be invited to undergo a colonoscopy according protocol of the Dutch national screening program. After the study has ended, the investigators will compare both groups to assess our hypotheses.
However, the current screening method using FIT is not optimal. In FIT-based CRC screening studies, 1 in 4 participants with CRC and 2 in 3 participants with advanced neoplasia receive a negative FIT result. In contrast, an estimated 1 in 2 FIT-positives have advanced neoplasia at colonoscopy.
Recent studies have demonstrated that a risk model that takes into account the FIT result and other risk factors for CRC could enhance the effectiveness of a FIT-based CRC screening programme.
The objective of this study is to assess the yield of advanced neoplasia in the colon and rectum of a FIT-based risk model at colonoscopy, compared to that of a FIT-only CRC screening strategy. Our hypothesis is that a risk-based model yields significantly more advanced neoplasia at colonoscopy than the FIT by itself, and that it does not affect participation rate.
To assess this hypothesis, the investigators have designed a clinical trial in which the investigators randomize 23,000 asymptomatic individuals between the age of 55 and 75 years old to either risk-based screening (intervention group) or FIT-only screening (control group). The intervention group will receive a questionnaire on risk factors of CRC (e.g. smoking, family history of CRC), and a FIT. The control group will only receive the FIT. The positivity threshold of the FIT in both groups will be set at 15 micrograms haemoglobin per gram faeces. The positivity threshold of the risk-based model in the intervention group will be set at 0.10 (out of a range of 0 to 1), a threshold that is calculated with a goal to match the positivity rate of the control group.
Participants with a result that is above the thresholds of the FIT and/or the risk-based model will be invited to undergo a colonoscopy according protocol of the Dutch national screening program. After the study has ended, the investigators will compare both groups to assess our hypotheses.
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Detailed Description
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INTRODUCTION AND RATIONALE Colorectal Cancer (CRC) is the third most frequent diagnosed cancer worldwide, with 1.4 million new cases every year. Mortality of CRC is estimated at around 40%. To reduce the incidence of CRC and to abate the negative consequences associated with CRC, methods for early detection of (pre)malignant colorectal lesions have extensively been researched and implemented. Colonoscopy is the reference standard for the detection of advanced neoplasia, but it requires trained endoscopists, carries a high burden, harbours a risk for complications in patients, and increases societal costs.
Most screening programs use methods to select screening participants with a high risk of advanced neoplasia for colonoscopy. One such method is the detection of blood in stool with faecal immunochemical tests (FITs).
Multiple nation-wide screening programs have now been implemented using FIT, including one in the Netherlands. In the Dutch CRC screening program, using a FIT threshold of 47 µg Hb/g faeces, the sensitivity of FIT in detecting CRC is 85.5%. The sensitivity of FIT in detecting advanced neoplasia (AN) is however substantially lower: 38%.
FIT-based screening also generates a high number of false positives, leading to unnecessary colonoscopies and distress for those patients. Approximately 1 in 2 FIT-positives has advanced neoplasia; the first round of the Dutch CRC screening program, using a FIT threshold of 47 µg Hb/g faeces, reached a positive predictive value of 54%.
Previous studies have demonstrated the existence of clinical risk factors for CRC, such as male gender, age, family history of CRC, and smoking. In a ZonMW sponsored project (ZonMW 50-50115-96-521) our group has shown that higher age, male sex, a family history with close relatives in whom CRC was diagnosed, and active smoking were all associated with the presence of advanced neoplasia (Stegeman et al, Gut, 2014).
Multiple CRC risk models have been developed using these risk factors, but most show only weak discriminatory power. Others have proposed risk models that additionally included molecular markers, increasing performance and discriminatory power, but these markers can be cumbersome to collect and can be costly in respect to the relative cheap FIT test. the investigators propose to combine CRC risk factors with the quantitative FIT result. FIT is a quantitative test with a variable cut-off level, and individuals with higher values of faecal haemoglobin are at higher risk of having advanced neoplasia at the cost of a lower specificity. Therefore, the quantitative result can be used as a weight-factor in a risk model.
Based on information on these risk factors for CRC and the quantitative FIT-result, our FIT-based risk model for CRC screening calculates the personal risk of having advanced neoplasia at colonoscopy. Inviting screening participants with elevated risk for colonoscopy, rather than those whose FIT result exceeds a pre-specified threshold, has the potential to increase the effectiveness and efficiency of FIT-based CRC screening. However, this requires participants to complete the questions about risk.
Our hypothesis is that integration of FIT score with known risk factors (age, gender, smoking, and family history of CRC) improves the number of participants in whom advanced neoplasia is detected, relative to the number of invitees. The investigators will compare a risk-based approach to screening, as described above, to the conventional FIT-only screening in a randomized controlled screening trial.
OBJECTIVES The study hypothesis is that risk-based CRC screening significantly outperforms FIT-only CRC screening in terms of the relative number of invitees in whom advanced neoplasia is detected at colonoscopy.
Primary Research Question: does risk-based CRC screening result in a higher relative number of invitees in whom advanced neoplasia is detected at colonoscopy compared to FIT-only CRC screening?
Secondary Research Questions:
i) Does risk-based CRC screening result in a higher standardized screening yield in whom advanced neoplasia is detected at colonoscopy compared to FIT-only CRC screening? ii) Is the participation rate of risk-based CRC screening non-inferior compared to FIT-only screening? iii) Does risk-based CRC screening result in a higher relative number of invitees in whom advanced neoplasia is detected at colonoscopy compared to FIT-only CRC screening at higher FIT-positivity thresholds (from 15 µg Hb /g faeces)? iv) Does risk-based CRC screening result in a higher relative number of invitees in whom proximally located advanced neoplasia is detected at colonoscopy compared to FIT-only CRC screening?
METHODS The investigators will perform a randomized controlled trial in 23,000 randomly selected men and women (aged 55 to 75 years) eligible for participation in the national CRC screening programme. All eligible participants will be second time invitees, living within a 25 km radius from the colonoscopy centre Bergman Clinics Amsterdam, which is accredited for the national population screening program.
Eligible individuals are randomly allocated on a 1:1 basis to an invitation for either risk-based CRC screening (intervention group) or FIT-only screening (control group). Randomization per household will be done before invitation. Study invitations are sent out by Foundation of Population Screening Mid-West (BoMW) early November 2019 before sending the FIT sample kit of the national screening program to the study cohort from January 2020 to April 2020. The study invitation is combined with a leaflet containing information on study participation. It will also contain an informed consent form, and a one-page questionnaire (if allocated to the intervention arm) with a self-addressed envelope to the research facility. The informed consent form will bear a unique study identification code.
The model that the investigators will use in this study for risk-based screening is derived from a model developed in a primary colonoscopy screening trial (Stegeman et al, Gut, 2014). The investigators have re-evaluated our multivariable risk model for CRC, with the aim to simplify it for daily practice. A number of risk factors (such as elements from diet) added little to the performance of the model, whereas collecting the necessary information proved rather tedious. The quantitative FIT result, age, sex, family history and smoking behaviour were the most decisive factors in the model.
This simplified FIT-based risk model had a performance like that of the extended model in the development dataset. In this study the investigators will calculate the risk of harbouring advanced neoplasia with our simplified FIT-based risk model, based on the quantitative FIT result, age, sex, family history and smoking behaviour (see below). The threshold and expected positivity rate of the risk-based model will be matched to the expected positivity rate of the FIT-only group.
Regression equation of the updated model:
ln(odds AN) = -4.955073942+0.9196052173\*Smoking+0.3364761549\* √FIT+0.370575346\*family history of CRC-0.006934851\*FIT+0.0228752117\*age+0.070972656\*gender
Probability of advanced neoplasia:
P (AN)=e\^((odds AN))/(1+e\^((odds AN))) If invitees that are allocated to the intervention group (i.e. questionnaire and FIT) only return the questionnaire, they do not qualify for a colonoscopy. When consenting invitees in the intervention group prefer not to complete the questionnaire, FIT tests will be analysed at a cut-off of 15 µg Hb/g faeces.
The type of FIT that will be used is the one used in the Dutch national screening programme: FOB-Gold (Sentinel, Italy). FIT-analyses and sending of FIT results will be performed according to the logistics as being used in the national screening. The FIT result and the result of the questionnaire will be entered in a database, to calculate the participant's risk. All FIT positives (≥15 µg Hb/g faeces) will be referred for consultation for colonoscopy at regional endoscopic centres. For the purpose of this study, FIT-negative but risk-positive participants (i.e. the combination of the results of the questionnaire and the quantitative FIT result) will also be invited for consultation for colonoscopy.
Colonoscopy will be performed by endoscopists accredited for our national screening programme and according to national and international quality guidelines. Quality indicators and endoscopic findings will be systematically recorded in a database, according to the standards of the national screening programme. Lesions will be immediately removed, if possible, and otherwise biopsies will be obtained. Histopathological assessment of these tissue samples will provide a definitive diagnosis. Data on location, size, macroscopic aspect, morphology and polypectomy will be recorded for all colonic lesions, which will be collected and evaluated by an accredited GI-pathologist according to the Vienna criteria. Advanced adenomas are defined as adenomas larger than 10 mm, adenomas with high-grade dysplasia or adenomas with a villous component of at least 25%. Advice regarding surveillance colonoscopy after removal of adenomatous polyps, large (≥10 mm) serrated lesions or cancer will be given to the clients according to the Dutch CBO consensus.
Screening invitees can leave the study at any time for any reason if they wish to do so without any consequences. The investigator can decide to withdraw a screening invitee from the study for urgent medical reasons.
STATISTICAL ANALYSIS
Primary outcome The difference in screening yield will be estimated and expressed as an absolute difference per 1,000 invitees, with 95% confidence intervals. The investigators will test the null hypothesis of no difference in yield between the intervention and control group using the chi-square test.
Secondary outcome The standardized screening yield will be calculated by ranking participants according to their calculated risk (in risk-based screening) and comparing the yield of risk-based screening for the number of positives that matches the number of FIT-positives with FIT-only screening with a chi-square test. Additionally, the investigators will use the McNemar test statistic to test the null hypothesis of no gain in screening yield in the intervention group only, where the investigators can compare referrals based on FIT only with referrals based on FIT and calculated risk.
The participation rate will be calculated through the number of participants relative to the number of invitees in each arm. Differences in participation rate will be assessed using the chi square test. The difference in screening yield of proximally located advanced neoplasia between both arms will be estimated and expressed as an absolute difference per 1,000 invitees (with 95% confidence intervals). The null hypothesis of no difference in yield will be tested using the chi square test.
Statistical significance level P-values of lower than 0.05 will be considered statistically significant. All analysis between both arms are based on the intention-to-screen principle, unless stated otherwise. Statistical analyses will be performed using R.
Additional outcomes Model performance in comparison to the FIT will be assessed with the net reclassification improvement (NRI). In addition, the yield of the FIT-based risk model and the FIT will be assessed at a broad range of FIT thresholds and will be estimated and expressed as the number of detected advanced neoplasia per 1,000 invitees (intention-to-screen) and per 1,000 colonoscopies (per protocol). Differences in the yield will be tested using a chi square test. Any missing data that was intended to be used as input for the risk-model, will be classified as '0'.
ETHICAL CONSIDERATIONS The study will be conducted according to the principles of the Declaration of Helsinki (Version October 2008) and the Population Screening Act (WBO). Permission to conduct this study has been granted by the Dutch Health Council and the Dutch Minister of Healthcare.
Most screening programs use methods to select screening participants with a high risk of advanced neoplasia for colonoscopy. One such method is the detection of blood in stool with faecal immunochemical tests (FITs).
Multiple nation-wide screening programs have now been implemented using FIT, including one in the Netherlands. In the Dutch CRC screening program, using a FIT threshold of 47 µg Hb/g faeces, the sensitivity of FIT in detecting CRC is 85.5%. The sensitivity of FIT in detecting advanced neoplasia (AN) is however substantially lower: 38%.
FIT-based screening also generates a high number of false positives, leading to unnecessary colonoscopies and distress for those patients. Approximately 1 in 2 FIT-positives has advanced neoplasia; the first round of the Dutch CRC screening program, using a FIT threshold of 47 µg Hb/g faeces, reached a positive predictive value of 54%.
Previous studies have demonstrated the existence of clinical risk factors for CRC, such as male gender, age, family history of CRC, and smoking. In a ZonMW sponsored project (ZonMW 50-50115-96-521) our group has shown that higher age, male sex, a family history with close relatives in whom CRC was diagnosed, and active smoking were all associated with the presence of advanced neoplasia (Stegeman et al, Gut, 2014).
Multiple CRC risk models have been developed using these risk factors, but most show only weak discriminatory power. Others have proposed risk models that additionally included molecular markers, increasing performance and discriminatory power, but these markers can be cumbersome to collect and can be costly in respect to the relative cheap FIT test. the investigators propose to combine CRC risk factors with the quantitative FIT result. FIT is a quantitative test with a variable cut-off level, and individuals with higher values of faecal haemoglobin are at higher risk of having advanced neoplasia at the cost of a lower specificity. Therefore, the quantitative result can be used as a weight-factor in a risk model.
Based on information on these risk factors for CRC and the quantitative FIT-result, our FIT-based risk model for CRC screening calculates the personal risk of having advanced neoplasia at colonoscopy. Inviting screening participants with elevated risk for colonoscopy, rather than those whose FIT result exceeds a pre-specified threshold, has the potential to increase the effectiveness and efficiency of FIT-based CRC screening. However, this requires participants to complete the questions about risk.
Our hypothesis is that integration of FIT score with known risk factors (age, gender, smoking, and family history of CRC) improves the number of participants in whom advanced neoplasia is detected, relative to the number of invitees. The investigators will compare a risk-based approach to screening, as described above, to the conventional FIT-only screening in a randomized controlled screening trial.
OBJECTIVES The study hypothesis is that risk-based CRC screening significantly outperforms FIT-only CRC screening in terms of the relative number of invitees in whom advanced neoplasia is detected at colonoscopy.
Primary Research Question: does risk-based CRC screening result in a higher relative number of invitees in whom advanced neoplasia is detected at colonoscopy compared to FIT-only CRC screening?
Secondary Research Questions:
i) Does risk-based CRC screening result in a higher standardized screening yield in whom advanced neoplasia is detected at colonoscopy compared to FIT-only CRC screening? ii) Is the participation rate of risk-based CRC screening non-inferior compared to FIT-only screening? iii) Does risk-based CRC screening result in a higher relative number of invitees in whom advanced neoplasia is detected at colonoscopy compared to FIT-only CRC screening at higher FIT-positivity thresholds (from 15 µg Hb /g faeces)? iv) Does risk-based CRC screening result in a higher relative number of invitees in whom proximally located advanced neoplasia is detected at colonoscopy compared to FIT-only CRC screening?
METHODS The investigators will perform a randomized controlled trial in 23,000 randomly selected men and women (aged 55 to 75 years) eligible for participation in the national CRC screening programme. All eligible participants will be second time invitees, living within a 25 km radius from the colonoscopy centre Bergman Clinics Amsterdam, which is accredited for the national population screening program.
Eligible individuals are randomly allocated on a 1:1 basis to an invitation for either risk-based CRC screening (intervention group) or FIT-only screening (control group). Randomization per household will be done before invitation. Study invitations are sent out by Foundation of Population Screening Mid-West (BoMW) early November 2019 before sending the FIT sample kit of the national screening program to the study cohort from January 2020 to April 2020. The study invitation is combined with a leaflet containing information on study participation. It will also contain an informed consent form, and a one-page questionnaire (if allocated to the intervention arm) with a self-addressed envelope to the research facility. The informed consent form will bear a unique study identification code.
The model that the investigators will use in this study for risk-based screening is derived from a model developed in a primary colonoscopy screening trial (Stegeman et al, Gut, 2014). The investigators have re-evaluated our multivariable risk model for CRC, with the aim to simplify it for daily practice. A number of risk factors (such as elements from diet) added little to the performance of the model, whereas collecting the necessary information proved rather tedious. The quantitative FIT result, age, sex, family history and smoking behaviour were the most decisive factors in the model.
This simplified FIT-based risk model had a performance like that of the extended model in the development dataset. In this study the investigators will calculate the risk of harbouring advanced neoplasia with our simplified FIT-based risk model, based on the quantitative FIT result, age, sex, family history and smoking behaviour (see below). The threshold and expected positivity rate of the risk-based model will be matched to the expected positivity rate of the FIT-only group.
Regression equation of the updated model:
ln(odds AN) = -4.955073942+0.9196052173\*Smoking+0.3364761549\* √FIT+0.370575346\*family history of CRC-0.006934851\*FIT+0.0228752117\*age+0.070972656\*gender
Probability of advanced neoplasia:
P (AN)=e\^((odds AN))/(1+e\^((odds AN))) If invitees that are allocated to the intervention group (i.e. questionnaire and FIT) only return the questionnaire, they do not qualify for a colonoscopy. When consenting invitees in the intervention group prefer not to complete the questionnaire, FIT tests will be analysed at a cut-off of 15 µg Hb/g faeces.
The type of FIT that will be used is the one used in the Dutch national screening programme: FOB-Gold (Sentinel, Italy). FIT-analyses and sending of FIT results will be performed according to the logistics as being used in the national screening. The FIT result and the result of the questionnaire will be entered in a database, to calculate the participant's risk. All FIT positives (≥15 µg Hb/g faeces) will be referred for consultation for colonoscopy at regional endoscopic centres. For the purpose of this study, FIT-negative but risk-positive participants (i.e. the combination of the results of the questionnaire and the quantitative FIT result) will also be invited for consultation for colonoscopy.
Colonoscopy will be performed by endoscopists accredited for our national screening programme and according to national and international quality guidelines. Quality indicators and endoscopic findings will be systematically recorded in a database, according to the standards of the national screening programme. Lesions will be immediately removed, if possible, and otherwise biopsies will be obtained. Histopathological assessment of these tissue samples will provide a definitive diagnosis. Data on location, size, macroscopic aspect, morphology and polypectomy will be recorded for all colonic lesions, which will be collected and evaluated by an accredited GI-pathologist according to the Vienna criteria. Advanced adenomas are defined as adenomas larger than 10 mm, adenomas with high-grade dysplasia or adenomas with a villous component of at least 25%. Advice regarding surveillance colonoscopy after removal of adenomatous polyps, large (≥10 mm) serrated lesions or cancer will be given to the clients according to the Dutch CBO consensus.
Screening invitees can leave the study at any time for any reason if they wish to do so without any consequences. The investigator can decide to withdraw a screening invitee from the study for urgent medical reasons.
STATISTICAL ANALYSIS
Primary outcome The difference in screening yield will be estimated and expressed as an absolute difference per 1,000 invitees, with 95% confidence intervals. The investigators will test the null hypothesis of no difference in yield between the intervention and control group using the chi-square test.
Secondary outcome The standardized screening yield will be calculated by ranking participants according to their calculated risk (in risk-based screening) and comparing the yield of risk-based screening for the number of positives that matches the number of FIT-positives with FIT-only screening with a chi-square test. Additionally, the investigators will use the McNemar test statistic to test the null hypothesis of no gain in screening yield in the intervention group only, where the investigators can compare referrals based on FIT only with referrals based on FIT and calculated risk.
The participation rate will be calculated through the number of participants relative to the number of invitees in each arm. Differences in participation rate will be assessed using the chi square test. The difference in screening yield of proximally located advanced neoplasia between both arms will be estimated and expressed as an absolute difference per 1,000 invitees (with 95% confidence intervals). The null hypothesis of no difference in yield will be tested using the chi square test.
Statistical significance level P-values of lower than 0.05 will be considered statistically significant. All analysis between both arms are based on the intention-to-screen principle, unless stated otherwise. Statistical analyses will be performed using R.
Additional outcomes Model performance in comparison to the FIT will be assessed with the net reclassification improvement (NRI). In addition, the yield of the FIT-based risk model and the FIT will be assessed at a broad range of FIT thresholds and will be estimated and expressed as the number of detected advanced neoplasia per 1,000 invitees (intention-to-screen) and per 1,000 colonoscopies (per protocol). Differences in the yield will be tested using a chi square test. Any missing data that was intended to be used as input for the risk-model, will be classified as '0'.
ETHICAL CONSIDERATIONS The study will be conducted according to the principles of the Declaration of Helsinki (Version October 2008) and the Population Screening Act (WBO). Permission to conduct this study has been granted by the Dutch Health Council and the Dutch Minister of Healthcare.
Conditions
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Colorectal Cancer
Colorectal Carcinoma
Colorectal Neoplasms
Colorectal Adenoma
Colorectal Adenoma and Carcinoma
Study Design
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Allocation Method
RANDOMIZED
Intervention Model
PARALLEL
The researchers conduct a parallel group randomized controlled trial. Asymptomatic individuals will be randomized to either risk-based screening or FIT-only screening.
Primary Study Purpose
SCREENING
Blinding Strategy
NONE
Study Groups
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Intervention group
This group will be screened with the risk-based model. The input of the model will be gathered with the FIT, a validated questionnaire, and from data of the Dutch general population registry. The threshold of the model will be set at a calculated risk of 0.10. To comply with ethical guidelines, all participants in this group with a FIT result of \>=15 mcg Hb/g faeces and a calculated risk of \<0.10 will also be offered a colonoscopy.
Group Type
EXPERIMENTAL
Risk-based logistic regression model
Intervention Type
DIAGNOSTIC_TEST
The intervention will be a risk-based logistic regression model that takes multiple variables into account to calculate the risk of advanced neoplasia as an outcome.
FIT
Intervention Type
DIAGNOSTIC_TEST
FIT is a stool-based test that detects human blood in faeces.
Control group
This group will be screened with the FIT. The threshold of the FIT will be set at \>= 15 mcg Hb/g faeces.
Group Type
ACTIVE_COMPARATOR
FIT
Intervention Type
DIAGNOSTIC_TEST
FIT is a stool-based test that detects human blood in faeces.
Interventions
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Risk-based logistic regression model
The intervention will be a risk-based logistic regression model that takes multiple variables into account to calculate the risk of advanced neoplasia as an outcome.
Intervention Type
DIAGNOSTIC_TEST
FIT
FIT is a stool-based test that detects human blood in faeces.
Intervention Type
DIAGNOSTIC_TEST
Other Intervention Names
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Faecal Immunochemic Test
Eligibility Criteria
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Inclusion Criteria
In order to be eligible to participate in this study, a screening invitee must meet the following criteria:
1. The screening invitee must be at least 55 years old, and no older than 75 years old, at the day of invitation by the Foundation of Population Screening Mid-West
2. The screening invitee must be eligible for participation in the second round of the Dutch CRC Population Screening Programme
3. The screening invitee must return a signed informed consent form
1. The screening invitee must be at least 55 years old, and no older than 75 years old, at the day of invitation by the Foundation of Population Screening Mid-West
2. The screening invitee must be eligible for participation in the second round of the Dutch CRC Population Screening Programme
3. The screening invitee must return a signed informed consent form
Exclusion Criteria
A potential screening invitee who meets any of the following criteria will be excluded from participation in this study:
1. if he or she receives active treatment for CRC and/or AN, including palliative care.
2. if he or she fails to return a sample that is adequate for FIT testing.
1. if he or she receives active treatment for CRC and/or AN, including palliative care.
2. if he or she fails to return a sample that is adequate for FIT testing.
Minimum Eligible Age
55 Years
Maximum Eligible Age
75 Years
Eligible Sex
ALL
Accepts Healthy Volunteers
Yes
Sponsors
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Academisch Medisch Centrum - Universiteit van Amsterdam (AMC-UvA)
OTHER
Sponsor Role
lead
Responsible Party
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Prof. Evelien Dekker, MD, PhD
Professor
Responsibility Role
PRINCIPAL_INVESTIGATOR
Principal Investigators
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Evelien Dekker, PhD MD
Role: PRINCIPAL_INVESTIGATOR
Amsterdam UMC
Locations
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Amsterdam UMC, locatie Academisch Medisch Centrum
Amsterdam, North Holland, Netherlands
Site Status
Countries
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Netherlands
References
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Arnold M, Sierra MS, Laversanne M, Soerjomataram I, Jemal A, Bray F. Global patterns and trends in colorectal cancer incidence and mortality. Gut. 2017 Apr;66(4):683-691. doi: 10.1136/gutjnl-2015-310912. Epub 2016 Jan 27.
Reference Type
BACKGROUND
Winawer S, Fletcher R, Rex D, Bond J, Burt R, Ferrucci J, Ganiats T, Levin T, Woolf S, Johnson D, Kirk L, Litin S, Simmang C; Gastrointestinal Consortium Panel. Colorectal cancer screening and surveillance: clinical guidelines and rationale-Update based on new evidence. Gastroenterology. 2003 Feb;124(2):544-60. doi: 10.1053/gast.2003.50044.
Reference Type
BACKGROUND
Mandel JS, Bond JH, Church TR, Snover DC, Bradley GM, Schuman LM, Ederer F. Reducing mortality from colorectal cancer by screening for fecal occult blood. Minnesota Colon Cancer Control Study. N Engl J Med. 1993 May 13;328(19):1365-71. doi: 10.1056/NEJM199305133281901.
Reference Type
BACKGROUND
Hardcastle JD, Chamberlain JO, Robinson MH, Moss SM, Amar SS, Balfour TW, James PD, Mangham CM. Randomised controlled trial of faecal-occult-blood screening for colorectal cancer. Lancet. 1996 Nov 30;348(9040):1472-7. doi: 10.1016/S0140-6736(96)03386-7.
Reference Type
BACKGROUND
Kronborg O, Fenger C, Olsen J, Jorgensen OD, Sondergaard O. Randomised study of screening for colorectal cancer with faecal-occult-blood test. Lancet. 1996 Nov 30;348(9040):1467-71. doi: 10.1016/S0140-6736(96)03430-7.
Reference Type
BACKGROUND
Hewitson P, Glasziou P, Watson E, Towler B, Irwig L. Cochrane systematic review of colorectal cancer screening using the fecal occult blood test (hemoccult): an update. Am J Gastroenterol. 2008 Jun;103(6):1541-9. doi: 10.1111/j.1572-0241.2008.01875.x. Epub 2008 May 13.
Reference Type
BACKGROUND
Hewitson P, Glasziou P, Irwig L, Towler B, Watson E. Screening for colorectal cancer using the faecal occult blood test, Hemoccult. Cochrane Database Syst Rev. 2007 Jan 24;2007(1):CD001216. doi: 10.1002/14651858.CD001216.pub2.
Reference Type
BACKGROUND
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Reference Type
DERIVED
Other Identifiers
Review additional registry numbers or institutional identifiers associated with this trial.
AMC_MDL_161
Identifier Type: -
Identifier Source: org_study_id
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