Screening for Stomach Diseases and Colorectal Neoplasms With the Fecal Testing

November 14, 2024 updated by: National Taiwan University Hospital

Screening for Stomach Diseases and Colorectal Neoplasms With the Fecal Testing: a Population-based Randomized Study

  1. The abundant results from this trial will be helpful for assessing the feasibility of increasing stool sampling and shortening screening interval in population setting for lower and upper gastrointestinal tract lesions, their long-term effects, and the respective cost-effectiveness.
  2. The study will evaluate the value of population-based screen and treatment for H. pylori infection when the HPSA is combined with the FIT.

Study Overview

Detailed Description

Growing body of evidences have shown that fecal immunochemical test (FIT) outperform guaiac fecal occult blood test (gFOBT) in terms of sensitivity, neoplasm detection rate and public participation. Though direct outcome evidence is still lacking for FIT, it is anticipated to have higher colorectal cancer (CRC) mortality and incidence reduction compared with gFOBT. In Taiwan, nation-wide CRC screening program has been launched since the year of 2004 ,which provides biennial FIT screening for adults aged 50 to 69 years. Currently available data from the Bureau of Health Promotion has shown a significant stage-shift effect, an early indicator of screening effectiveness, by this screening program.

Nevertheless, the aforementioned advantages of FIT, missed neoplasms and interval cancer still exists under the current one-day stool sampling method with biennial screening interval, which might affect the effectiveness of overall screening program. Increase the number of stool samples or shortening of screening interval may be helpful for early detection of clinically significant neoplasms but it remains unclear whether such an approach may lower the screenee compliance or public participation. Moreover, its impact on the demand of confirmatory colonoscopy and cost-effectiveness of the whole screening program is still largely unknown and need to be further investigated.

In this study, we firstly aim to randomly allocate screening attendee to one of the following four arms: one-day sampling with annual screening, one-day sampling with biennial screening, two-day sampling with annual screening, and two-day sampling with biennial screening. Participation rate, positive rates of FIT, detection rate for neoplasms, positive predictive value, and long-term outcome including cancer incidence and mortality will be calculated and compared among four groups.

Secondly, in the Taiwanese population, which is a typical presentation of Asian populations, although the incidence of colorectal cancer is rapidly increasing, Helicobacter pylori-related upper gastrointestinal pathologies remain highly prevalent, which may imply that mass screening solely based on FIT could be insufficient as significant upper GI pathologies can be missed. Since the FIT does not predict upper GI pathologies, the adjunct of an「Helicobacter pylori stool-antigen test (HpSA) 」 may be a potential candidate to realize a pan-detecting assay based on stool samples in a population in which both lower and upper GI lesions are equally prevalent. Therefore, in the present study, we will also evaluate the value of simultaneous FIT and HpSA test in the community-based mass screening. We invited subjects in a randomized study to receive the FIT or the FIT plus HPSA. Those who are tested positive for HPSA will receive upper endoscopic examination and anti-H. pylori treatment. For the short-term indicators, we will evaluate the participation rate and diagnostic yield when the HPSA is added. For the long-term indicators, we will compare the incidence and mortality of gastric cancer as well as complicated peptic ulcers.

To summary, this study includes two randomized trials:

  1. To make a comparison between one-day sampling with annual screening, one-day sampling with biennial screening, two-day sampling with annual screening, and two-day sampling with biennial screening using FIT;
  2. To make a comparison between FIT plus HpSA and FIT alone for screening.

Finally, the cost-effectiveness analysis will be also conducted using previously established Markov model of CRC natural history and stomach diseases (such as dyspepsia, peptic ulcer disease, and gastric cancer) using the results ascertained from this trial. The primary outcomes were gastric cancer incidence and mortality rates as well as colorectal cancer incidence and mortality rates.

Study Type

Interventional

Enrollment (Actual)

99314

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

      • Taipei, Taiwan, 10002
        • National Taiwan University Hospital

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

50 years to 75 years (Adult, Older Adult)

Accepts Healthy Volunteers

Yes

Description

Inclusion Criteria:

  • 50 to 69 years average-risk subjects for FIT
  • 50 to 69 years subjects for HpSA

Exclusion Criteria (for the FIT-based RCT):

  • Subjects who are unwilling to participate
  • Subjects ineligible for colonoscopy (for the one-day vs two day FIT screening)

Exclusion Criteria (for the FIT+HPSA vs. FIT-only RCT)

  • Subjects with a history of total gastrectomy
  • Pregnancy
  • Subjects with severe illnesses
  • Subjects with prior participation in the pilot program

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Prevention
  • Allocation: Randomized
  • Interventional Model: Parallel Assignment
  • Masking: Single

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: one-day sampling with one-year interval
FIT one-day sampling with one-year interval
Screening with one-year interval
One-day sampling
Active Comparator: one-day sampling with two-year interval
FIT one-day sampling with two-year interval
One-day sampling
Screening with two-year interval
Experimental: two-day sampling with one-year interval
FIT two-day sampling with one-year interval
Screening with one-year interval
Collect two stool samples in two separate days
Experimental: two-day sampling with two-year interval
FIT two-day sampling with two-year interval
Screening with two-year interval
Collect two stool samples in two separate days
Experimental: Hp stool antigen (HpSA)+FIT
HpSA for detection of upper gastrointestinal tract diseases and upper endoscopy for H. pylori carriers; HPSA combined with FIT
One-day sampling
Screening with two-year interval
HpSA for detection of upper gastrointestinal diseases; screen and treat for H. pylori infection. Upper endoscopy for H. pylori carriers. HPSA+FIT compared with FIT alone.
Active Comparator: FIT only
HpSA + FIT compared with FIT alone
One-day sampling
Screening with two-year interval
HPSA+FIT compared with FIT alone.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Incidence of Stomach Cancer
Time Frame: 5.5 years

Number of incident stomach cancer

The recruitment period of participants was from January 1, 2014 to September 27, 2018. Final follow-up occurred December 31, 2020.

For outcome measurement, the average follow-up time of the study participants was 5.5 years.

5.5 years
Mortality of Stomach Cancer
Time Frame: 5.5 years

Number of stomach cancer death

The recruitment period of participants was from January 1, 2014 to September 27, 2018. Final follow-up occurred December 31, 2020.

For outcome measurement, the average follow-up time of the study participants was 5.5 years.

5.5 years

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Mortality of Colorectal Cancer
Time Frame: 5.5 years

Number of colorectal cancer death

The recruitment period of participants was from January 1, 2014 to September 27, 2018. Final follow-up occurred December 31, 2020.

For outcome measurement, the average follow-up time of the study participants was 5.5 years.

5.5 years
Incidence of Colorectal Cancer
Time Frame: 5.5 years

Number of incident colorectal cancer

The recruitment period of participants was from January 1, 2014 to September 27, 2018. Final follow-up occurred December 31, 2020.

For outcome measurement, the average follow-up time of the study participants was 5.5 years.

5.5 years

Other Outcome Measures

Outcome Measure
Measure Description
Time Frame
Helicobacter Pylori Eradication Rate
Time Frame: 5.5 years

Subjects who received anti-H. pylori treatment.

The recruitment period of participants was from January 1, 2014 to September 27, 2018. Final follow-up occurred December 31, 2020.

For outcome measurement, the average follow-up time of the study participants was 5.5 years.

5.5 years
Confirmatory Examination Referral Rate
Time Frame: 5.5 years

Subjects who received confirmatory examinations (colonoscopy or flexible sigmoidoscopy plus double contrast barium enema for lower gastrointestinal tract disease; esophagogastroduodenoscopy for upper gastrointestinal tract disease) /subjects with positive stool test (FIT or HpSA)

The recruitment period of participants was from January 1, 2014 to September 27, 2018. Final follow-up occurred December 31, 2020.

For outcome measurement, the average follow-up time of the study participants was 5.5 years.

5.5 years
Detection of Advanced Adenoma and Cancer
Time Frame: 5.5 years

Number of Advanced Adenoma and Colorectal Cancer

The recruitment period of participants was from January 1, 2014 to September 27, 2018. Final follow-up occurred December 31, 2020.

For outcome measurement, the average follow-up time of the study participants was 5.5 years.

5.5 years
Participation Rate of HpSA + FIT or FIT Only
Time Frame: 5.5 years

Number of participants from invitation population

The recruitment period of participants was from January 1, 2014 to September 27, 2018. Final follow-up occurred December 31, 2020.

For outcome measurement, the average follow-up time of the study participants was 5.5 years.

5.5 years
Detection of Non-advanced Adenoma
Time Frame: 5.5 years

Number of non-advanced adenoma from study population

The recruitment period of participants was from January 1, 2014 to September 27, 2018. Final follow-up occurred December 31, 2020.

For outcome measurement, the average follow-up time of the study participants was 5.5 years.

5.5 years

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Han-Mo Chiu, M.D., Ph.D., Department of Internal Medicine & Health Management Center
  • Principal Investigator: Yi-Chia Lee, M.D., Ph.D., National Taiwan University Hospital

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

January 1, 2014

Primary Completion (Actual)

December 31, 2020

Study Completion (Actual)

December 31, 2020

Study Registration Dates

First Submitted

October 5, 2012

First Submitted That Met QC Criteria

November 30, 2012

First Posted (Estimated)

December 4, 2012

Study Record Updates

Last Update Posted (Actual)

November 21, 2024

Last Update Submitted That Met QC Criteria

November 14, 2024

Last Verified

October 1, 2018

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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