Study design
We performed a 2-arm superiority RCT to compare SSL detection rates between Endocuff-assisted colonoscopy and conventional colonoscopy at Hospital Beatriz Ângelo.
The study was approved by the institutional review board at Hospital Beatriz Ângelo and was registered at clinicaltrials.gov on 27/02/2019 (NCT03856957). All patients gave a written informed consent and all research was performed in accordance with the Declaration of Helsinki.
The present study adheres to Consort Guidelines.
Study population
Subjects fulfilling the following inclusion criteria were assessed for inclusion in the study: aged 40–79 years; undergoing outpatient elective colonoscopies for screening, surveillance or diagnosis; and ability to give written informed consent prior to study participation.
Subjects fulfilling any of the following criteria were excluded from the study: severe diverticulosis, colonic stricture, primary sclerosing cholangitis, inflammatory bowel disease, known polyposis syndromes, personal colorectal cancer history or previous colorectal surgery, pregnancy or breastfeeding.
Outcomes
The primary endpoint was the average number of serrated lesions ≥ 10 mm in size detected per colonoscopy in the Endocuff-assisted and conventional colonoscopy groups. This endpoint included all sessile serrated lesions and hyperplastic lesions ≥ 10 mm.
The secondary endpoints were the SSL detection rate (number of patients with at least one SSL/total number of participants); adenoma detection rate (number of patients with at least one adenoma/total number of participants); number of adenomas detected per colonoscopy (number of adenomas/total number of participants); polyp detection rate (number of patients with at least one polyp/total number of participants); number of polyps detected per colonoscopy (number of polyps/total number of participants); adenocarcinoma detection rate (number of malignant adenocarcinomas/total number of participants); caecal intubation rate; caecal incubation time; withdrawal time; and incidence of procedure-related adverse events.
Study procedures and data collection
We used a block randomization table generated in STATA, and the investigators were blinded to the random allocation. Randomization was concealed until patient assignment. Consenting patients were randomly assigned to the Endocuff-assisted colonoscopy group or the conventional colonoscopy group before the procedure with a computer-generated randomization table in REDCap. Study data were collected and managed using REDCap (Research Electronic Data Capture) electronic data capture tools hosted at Sociedade Portuguesa de Gastrenterologia[25, 26]. REDCap is a secure, web-based software platform designed to support data capture for research studies, providing 1) an intuitive interface for validated data capture; 2) audit trails to track data manipulation and export procedures; 3) automated export procedures for seamless data downloads to common statistical packages; and 4) procedures to support data integration and interoperability with external sources.
The participating endoscopists were all experienced in optical colonoscopy (defined by having performed a minimum of 300 colonoscopies)[27]. The procedures were performed using a high-definition Olympus endoscope (CF-H190, CF-H180, PCF-H180AL/I or GIF-H180/H190). Colonoscopies were performed by one of ten endoscopists either without sedation, under conscious sedation or under deep sedation, as requested by the assistant physician. Antispasmodics (butylscopolamine) could be administered during the procedure if necessary.
The histologic evaluation of each lesion was performed by pathologists in our centre. The pathologists were blinded to the method used during the procedure.
Data collection
We recorded patient demographic and clinical data, including date of birth, sex, weight, height, body mass index, education level, smoking habits, personal history of polyps and polypectomy, date of previous colonoscopy and family history of CRC; colonoscopy data, such as the endoscopist performing the procedure, colonoscope type, indication for the procedure (screening, surveillance, or diagnosis), type of sedation (unsedated or conscious or deep sedation), the administration of antispasmodics (butylscopolamine), caecal intubation, intubation and withdrawal times, Boston Bowel Preparation Score (BBPS) in each colon segment (ascending, transverse and left colon) and adverse events; and for each lesion detected, the location, size, morphology (Paris Classification[28]) and histology (hyperplastic, adenoma, SSL or adenocarcinoma).
Sample Size
The prevalence of SSLs at the time of screening colonoscopy is close to 5% but ranges from 1 to 18%, with a mean of 1.62 lesions per patient[29, 30]. For serrated lesions ≥ 10 mm, we based our estimate on Rex’s trial[31], which reported 0.05 proximal lesions per colonoscopy. Based on an observational study, Endocuff may increase the SSL detection rate 5-fold. We decided to be conservative in our estimate. Therefore, considering the number of lesions per patient as the primary endpoint and aiming to have 80% power at a 5% significance level to detect a difference from 0.05 to 0.15 lesions/colonoscopy, we needed a total sample size of 198 colonoscopies. We accounted for a 2% crossover rate and therefore adjusted the sample size to 216 colonoscopies. Furthermore, based on data from our institution, we anticipated that more than 80% of patients would have adequate bowel preparation according to the validated Boston Bowel Preparation Scale (BBPS)[32]. To compensate for poor mucosal visualization and lower lesion detection due to poor preparation, we further adjusted the sample size to 254 patients.
Statistical Analysis
The statistical analysis was conducted with the SPSS software package, version 21 (Statistical Package for the Social Sciences, IBM Corporation, Armonk, NY, USA). Categorical variables are expressed as frequencies and percentages, while continuous variables are described as the means and standard deviations or medians and ranges. The chi-squared test and Fisher’s exact test were used to explore associations between categorical variables. Differences in means for continuous variables and dichotomous variables were analysed by t-tests or Mann-Whitney U tests, as appropriate.
An analysis to estimate the effect of the use of Endocuff on lesion detection outcomes was conducted using logistic regression. We performed multiple regression with adjustment for withdrawal time and bowel preparation.