Literature DB >> 34712550

Endocuff Vision improves adenoma detection rate in a large screening-related cohort.

Nauzer Forbes1,2, Robert J Hilsden1,2, Yibing Ruan3,4, Abbey E Poirier3,4, Dylan E O'Sullivan3, Kyla M Craig5, Diana Kerrison5, Darren R Brenner2,3,4, Steven J Heitman1,2.   

Abstract

Background and study aims  Endocuff Vision (ECV) increases adenoma detection rate (ADR) in randomized clinical trials; however, observational effectiveness data are lacking. We evaluated the effectiveness, safety, and practical aspects of ECV use in a large screening-related real-world cohort. Patients and methods  In this observational study, patients undergoing screening-related colonoscopy from November 2018 to April 2019 comprised the baseline period, and those undergoing it from June to November 2019 comprised the ECV period, where ECV use was discretionary. The primary outcome was ADR, compared: 1) between ECV use and standard colonoscopy across both periods; and 2) between time periods. Secondary outcomes included indication-specific ADR, sessile serrated ADR (SSADR), cecal intubation rate (CIR), procedure times, patient comfort scores, and sedation use. Multilevel logistic regression was performed, yielding adjusted odds ratios (AOR) with 95 % confidence intervals (CIs). Results  In 15,814 colonoscopies across both time periods, ADR was 46.7 % with standard colonoscopy and 54.6 % when ECV was used ( P  < 0.001). Endoscopists used ECV in 77.6 % of procedures in the ECV period, during which overall ADR rose to 53.2 % compared to 46.3 % in the baseline period ( P  < 0.001). ECV use was significantly associated with higher ADR (AOR 1.24, 95 % CI 1.10 to 1.40) after adjusting for relevant covariates including time period. ECV use did not result in lower CIR, longer procedure time, increased sedation use, or poorer comfort scores. Conclusions  ECV use is associated with improved ADR without negatively impacting other key procedure and patient-related factors. Future studies should evaluate the cost-effectiveness of incorporating ECV into routine screening-related practice. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/).

Entities:  

Year:  2021        PMID: 34712550      PMCID: PMC8545492          DOI: 10.1055/a-1533-6183

Source DB:  PubMed          Journal:  Endosc Int Open        ISSN: 2196-9736


Introduction

Screening-related colonoscopy reduces the burden of colorectal cancer (CRC) through polyp detection and removal 1 . Several quality indicators aim to standardize and optimize practice 2 3 . Arguably the most well-established is the adenoma detection rate (ADR), or the proportion of screening-related colonoscopies in which at least one adenoma is identified 4 . ADR is associated with the risk of post-colonoscopy CRC (PCCRC), and is therefore an important surrogate measure of the effectiveness of screening-related colonoscopy 5 6 . ADR varies substantially among endoscopists 7 , and patients undergoing colonoscopy by a low detector have a greater risk of PCCRC 5 . Several methods aim to improve ADR, including endoscopist feedback 8 , segmental re-examination techniques 9 , dynamic position changes 10 , chromoendoscopy 11 , and use of assistive devices. Single-use distal attachment devices fit over the colonoscope tip, and designs include caps 12 13 , rings 14 15 , and finger-like projections 16 17 18 . The common objective of distal attachment devices is to optimize mucosal visualization behind colonic folds, thus enhancing polyp detection. Endocuff is a distal attachment device with finger-like projections that spread apart colonic folds to enhance ADR 19 . A newer version, Endocuff Vision (ECV), has a single row of longer arms that further optimize visualization (see Supplementary Materials). In several randomized controlled trials (RCTs), ECV has been shown to improve ADR 20 21 22 , while potentially reducing inspection time 20 21 . ECV has also been shown to out-perform caps in this respect 23 . Although small pilot evaluations exist 24 , no large “real-world” studies have assessed the effectiveness of ECV in non-trial settings. While only an RCT can provide robust information on efficacy, RCTs are prone to limitations in generalizability 25 , and trials of technical interventions specifically may not translate into real-world clinical effectiveness 26 . Furthermore, RCTs cannot provide data on uptake, utilization, and predictors of use. Thus, we performed a carefully controlled observational study to assess the effect of ECV use on ADR in routine clinical practice, as well as to elucidate the patient-, procedure- and endoscopist-level factors associated with ECV effectiveness and uptake.

Patients and methods

Study setting and design

This observational study included data from colonoscopies performed at the Forzani & MacPhail Colon Cancer Screening Centre (CCSC) in Calgary, Alberta, Canada between November 2018 and November 2019. The CCSC provides exclusively screening-related colonoscopies to residents in the Calgary Zone. Referrals for other indications are redirected. To be eligible at the CCSC, patients must be asymptomatic at the time of referral and fall between ages 18 and 75. Of specific relevance to this study, patients who had major abdominal operations (e. g. segmental colonic resections for cancer) were eligible, but not within 3 months of surgery. In addition, patients with a previous history of diverticulitis were eligible, but must have been off antibiotics and pain free for at least 4 weeks. Over 40 gastroenterologists and colorectal surgeons with varying practice patterns and experience perform colonoscopies at the center. CCSC patients are allocated to endoscopists from a common queue, thereby maintaining a similar mix of cases by indication. A combination of high-definition colonoscopes (H[Q] 180/190, Olympus, Tokyo, Japan or 90i/i10, Pentax, Tokyo, Japan) were used for all cases and the choice of a regular versus smaller-caliber colonoscope was made by the endoscopist. ECV (Olympus, Center Valley, Pennsylvania, United States) was introduced at the CCSC in May 2019 as a 6-month unit-wide clinical evaluation designed by members of the CCSC’s Clinical Operations Team (KC, SJH, RJH, DK). During this orientation month, all endoscopists and nursing staff received formal education on the device, and cases were performed using ECV but excluded from analysis. We examined colonoscopies performed during two time periods. Period 1 (baseline) consisted of the 6 months leading up to the implementation of ECV (November 1, 2018 to April 30, 2019). Period 2 (ECV period) spanned six months from June 1, 2019 to November 30, 2019. The decision to use ECV or to remove it during a procedure was left to the discretion of the endoscopist. However, the ECV devices (for regular or smaller caliber colonoscopes as appropriate) were pre-mounted by the endoscopy nurses unless an endoscopist requested they not be used. Our study was approved by the Health Research Ethics Board of Alberta Cancer Committee (HREBA.CC-19-0257) and was registered on clinicaltrials.gov (NCT04395352).

Study patients

All adult patients undergoing screening-related colonoscopy at the CCSC during the time periods were eligible for inclusion in the analysis. Two analysis cohorts were created: a procedural cohort and a pathology cohort, designed to calculate procedural characteristics and detection-related outcomes, respectively. Patients undergoing single balloon-assisted colonoscopy, planned advanced polypectomy including endoscopic mucosal resection (EMR) and early post-EMR surveillance were excluded. The pathology cohort, which was nested within the procedure cohort, further excluded patients under age 40. For detection-related outcomes in the pathology cohort we analyzed the first procedure complete to the cecum with adequate bowel preparation, defined as a Boston Bowel Preparation Score (BBPS), of 6 or higher 27 .

Demographic and clinical variables

Relevant variables were acquired using CCSC’s endoscopy reporting program endoPRO (Pentax Medical, Montvale, New Jersey, United States) and electronic nursing records. Patient-, procedure- and endoscopist-level variables were collected, including: patient age and sex; procedural indication (fecal immunochemical test [FIT] positive, surveillance/family history, or average risk); amounts and types of sedating medications, including use of reversal agent(s); depth of insertion, including presence or absence of cecal intubation; whether ECV was used; the number, estimated size, location, morphology, and histology of polyps found, biopsied or removed; procedure duration; withdrawal time (in cases without polypectomy); endoscopist specialty; and endoscopist study procedural volume.

Outcome measurements

The primary outcome was overall ADR, defined as the proportion of colonoscopies during which one or more adenomas were biopsied or removed. Histology data were abstracted from formal pathology reports by trained nurses. Secondary outcomes studied using the pathology cohort were as follows: SSADR (sessile serrated adenoma detection rate), FIT + ADR, non-FIT ADR, endoscopist-specific FIT + and non-FIT ADR and SSADR, right, transverse and left colon ADR, adenomas per colonoscopy (APC), SSAPC (sessile serrated adenomas per colonoscopy), and advanced ADR. Secondary outcomes from the procedural cohort included cecal intubation rate (CIR), withdrawal time (WT), total procedure time, nurse-assessed patient comfort scores (NAPCOMs), 28 total conscious sedation usage, and reasons for (and location of) ECV removal. Study-specific definitions of all secondary outcomes are provided in the Supplementary Materials. Outcomes were grouped according to procedure indication (FIT + , non-FIT) and compared: 1) between standard colonoscopy and ECV-assisted colonoscopy across periods; and 2) between study periods (to assess for unit-level improvements while accounting for variable uptake and/or usage of a novel device).

Statistical considerations and analyses

Sample size was calculated based on two RCTs 20 21 demonstrating relative ADR increases of 1.13 and 1.17. Our preliminary data demonstrated a mean overall ADR of 46 % in 2018, from a mixed population including FIT + and non-FIT patients. An exact test was used to test the two-sided hypothesis that ECV is superior to unassisted colonoscopy for overall ADR. Our clinical evaluation was planned to include 6,000 patients over approximately 6 months. Assuming a two-sided alpha of 0.05 and an estimated 6,000 cases using ECV, we calculated that we would be able to demonstrate a rate ratio of 1.10 or higher (representing an increase in ADR from 46.0 % to 50.6 %) with 99.9 % power, a rate ratio of 1.08 or higher (representing an increase in ADR from 46.0 % to 49.7 %) with 98.2 % power, and a rate ratio of 1.06 or higher (representing an increase in ADR from 46.0 % to 48.8 %) with 86.7 % power. All analyses were performed separately for each of the endoscopists in the study and using data for all endoscopists combined. The Mann-Whitney test was used to compare continuous outcomes by ECV use and between time periods, and Fisher’s exact test was used to compare categorical outcomes. APC and SSAPC were modeled using zero-inflated negative-binomial regression. Multivariable logistic regression was used to identify independent predictors of polyp detection and to adjust for potential confounders. Crude odds ratios (ORs) of ADR and SSADR were calculated for ECV use and for each of the potential confounders, including patient age, sex, risk category (routine, increased risk, and FIT +), and study period, by univariable logistic regression. Adjusted odds ratios (AORs) of ADR and SSADR were modeled with multilevel logistic regression. All ORs and AORs were reported alongside their respective 95 % confidence intervals (CI). To reduce the inherent bias caused by potential confounding variables, propensity score matching in a 1:1 ratio was performed to match procedures carried out with ECV and those without. A caliper width of 0.01 without replacement was used for matching and the treatment observations with propensity scores outside the range of the propensity scores of the controls were dropped 29 . In addition, sensitivity analyses were also performed where comparisons were restricted to the ECV period and only included endoscopists performing a minimum of 10 procedures both with and without ECV. Finally, subgroup analyses were also performed by endoscopist performance quartiles to assess their relative and absolute changes in ADR following use of ECV. These groups were defined by ranking endoscopists by their baseline ADRs among non-FIT patients. The analyses were stratified by FIT + and non-FIT risk categories, and the ADR during the ECV phase was modeled with multivariable logistic regression, using quartiles as either a continuous variable to examine trend, or a categorical variable to estimate quartile-specific OR, adjusting for patient sex and age. All statistical analyses were performed using STATA version 15.1 (StataCorp. 2017. Stata Statistical Software: Release 15. College Station, Texas, United States: StataCorp LLC) and R version 3.6.0 (R Foundation for Statistical Computing, Vienna, Austria).

Results

Descriptive parameters

A total of 17,562 procedures were analyzed as part of the procedural cohort. A total of 15,814 patients were analyzed as part of the pathology cohort. A flow diagram of study exclusions is provided in Fig. 1 . Forty-one endoscopists performed a mean of 236 standard colonoscopies and 150 ECV-assisted colonoscopies. Men comprised 52.5 % of standard colonoscopies and 53.7 % of ECV-assisted colonoscopies (p = 0.16). Mean withdrawal time was 8.6 minutes for standard colonoscopies and 7.9 minutes for ECV-assisted colonoscopies. Detailed descriptions of patient-, endoscopist-, and procedure-related parameters, compared by ECV use across periods, are provided in Table 1 and are compared by study period in the Supplementary Materials.
Fig. 1

 Study flow diagram showing exclusion criteria and final pathology and procedural cohorts included for primary and secondary outcomes. FIT, fecal immunochemical test; BBPS, Boston Bowel Preparation Score; EMR, endoscopic mucosal resection.

Patient and endoscopist characteristics, and procedural characteristics and outcomes by ECV use across time periods for n = 15,814 patients and n = 41 endoscopists (pathology cohort).

Patient characteristics Standard colonoscopy (n = 9,673) Colonoscopy with ECV (n = 6,141) P value
Male sex (%)5,080 (52.5)3,296 (53.7)0.16
Patient age (%)

40–49

826 (8.5)491 (8.0)

50–64

6,142 (63.5)3,674 (59.8) < 0.001

65–75

2,705 (28.0)1,976 (32.2)
Indications (%)

FIT + 

2,595 (26.8)1,813 (29.5)

Surveillance or family history

5,902 (61.0)3,753 (61.1) < 0.001

Average risk

1,176 (12.2)575 (9.4)
Endoscopist characteristics Standard colonoscopy (n = 41) Colonoscopy with ECV (n = 41)
Specialty (%)

GI

32 (79.5)32 (78.0)N/A

CRS

9 (20.5)9 (22.0)
Volume during study, mean (range)236 (32 – 507)150 (1 – 400)0.001
Withdrawal time in minutes, mean (range)9.3 (6.3 – 17.3)8.4 (6.4 – 13.0)0.03
Endoscopist adenoma detection rate, mean (range)

FIT + 

60.0 (35.3 – 84.7)66.2 (26.7 – 100.0)0.03

Non-FIT

41.1 (17.0 – 56.9)48.8 (26.7 – 100.0)0.003

Total

46.1 (21.9 – 67.9)54.9 (34.6 – 100.0)0.001
Procedural characteristics/ outcomes Standard colonoscopy (n = 9,673) Colonoscopy with ECV (n = 6,141) P value
Procedure duration (%)

 ≤ 20 minutes

6,400 (68.1)4,488 (75.4)

21–30 minutes

2,289 (24.4)1,171 (19.7) < 0.001

31–60 minutes

695 (7.4)290 (4.9)
Any sedation used (%)8,990 (92.9)5,668 (92.3)0.13
Withdrawal time 1 , mean (SD) 8.6 (2.7)7.9 (2.4) < 0.001
 ≥ 1 adenoma detected (%)

FIT + 

1,545 (59.5)1,211 (66.8) < 0.001

Non-FIT

2,974 (41.5)2,143 (49.5) < 0.001

Total

4,519 (46.7)3,354 (54.6) < 0.001
 ≥ 1 SSA detected (%)

FIT + 

406 (15.7)297 (16.4)0.51

Non-FIT

1,138 (16.1)864 (20.0) < 0.001

Total

1,544 (16.0)1,161 (18.9) < 0.001
 ≥ 1 advanced adenoma detected (%)

FIT + 

540 (20.8)421 (23.2)0.06

Non-FIT

337 (4.8)208 (4.8)0.91

Total

877 (9.1)629 (10.2)0.01
Adenomas per colonoscopy, mean (SD)

FIT + 

1.79 (3.07)2.40 (4.64) < 0.001

Non-FIT

0.87 (1.84)1.35 (3.41) < 0.001

Total

1.12 (2.28)1.66 (3.85) < 0.001
Sessile serrated adenomas per colonoscopy, mean (SD)

FIT + 

0.29 (1.20)0.32 (1.11)0.39

Non-FIT

0.26 (0.83)0.41 (1.37) < 0.001

Total

0.27 (0.94)0.38 (1.30) < 0.001

FIT, fecal immunochemical test; ECV, Endocuff Vision; GI, gastroenterology; CRS, colorectal surgery;

SSA, sessile serrated adenoma; advanced adenoma is one measuring 10 mm or greater, or with tubulovillous/villous pathology or high-grade dysplasia irrespective of size.

Calculated from procedures with no pathology.

Study flow diagram showing exclusion criteria and final pathology and procedural cohorts included for primary and secondary outcomes. FIT, fecal immunochemical test; BBPS, Boston Bowel Preparation Score; EMR, endoscopic mucosal resection. 40–49 50–64 65–75 FIT + Surveillance or family history Average risk GI CRS FIT + Non-FIT Total ≤ 20 minutes 21–30 minutes 31–60 minutes FIT + Non-FIT Total FIT + Non-FIT Total FIT + Non-FIT Total FIT + Non-FIT Total FIT + Non-FIT Total FIT, fecal immunochemical test; ECV, Endocuff Vision; GI, gastroenterology; CRS, colorectal surgery; SSA, sessile serrated adenoma; advanced adenoma is one measuring 10 mm or greater, or with tubulovillous/villous pathology or high-grade dysplasia irrespective of size. Calculated from procedures with no pathology.

Adenoma and SSA detection

Comparisons based on ECV use

ADR was 46.7 % with standard colonoscopy (baseline period, and ECV period in cases where ECV was not used) and 54.6 % for colonoscopy with ECV ( P  < 0.001). This improvement was significant in both procedures for FIT + indications (59.5 % versus 66.8 %, P  < 0.001) and non-FIT indications (41.5 % versus 49.5 %, P  < 0.001). Detailed descriptions of detection-related outcomes, compared by ECV use across periods, are provided in Table 1 . The use of ECV was significantly associated with increased adjusted odds of detecting one or more adenoma(s), with an AOR of 1.24 (95 % CI 1.10 to 1.40). The use of ECV was also associated with a non-significant trend toward increased odds of detecting one or more SSAs, with an AOR of 1.13 (95 % CI 0.97 to 1.31). ECV use was associated with higher ADR in the left colon (AOR 1.30, 95 % CI 1.13 to 1.48) and the transverse colon (AOR 1.21, 95 % CI 1.04 to 1.42). In addition, ECV use was associated with higher APC and SSAPC, with adjusted rate ratios of 1.20 (95 % CI 1.10, 1.32) and 1.28 (1.14, 1.42), respectively. Although ECV use was associated with higher ADR for adenomas < 10 mm (AOR 1.26, 95 % CI 1.12 to 1.41), it was not associated with higher ADR for adenomas ≥ 10 mm (AOR 1.06, 95 % CI 0.87 to 1.30). Full results of univariable and multivariable logistic regression analyses are provided in Table 2 .

Crude and adjusted odds ratios for adenoma and sessile serrated adenoma detection by selected variables.

Crude odds ratios (OR) Adenoma 95 % CI SSA 95 % CI
Male sex1.901.79, 2.030.960.88, 1.04
Age1.151.09, 1.211.020.96, 1.10
Age 2 (quadratic term) 0.99920.9987, 0.99960.99990.9993, 1.0004
Risk category

Average risk (reference)

1.00N/A1.00N/A

Surveillance or family history

1.231.11, 1.371.261.10, 1.45

FIT + 

2.452.19, 2.751.090.93, 1.27
Study period (ECV vs. baseline)1.321.24, 1.411.201.10, 1.30
ECV use (across periods)1.371.29, 1.481.231.13, 1.33
Adjusted odds ratio (AOR) Adenoma 95 % CI SSA 95 % CI
ECV use (across periods)1.241.10, 1.401.130.97, 1.31
ECV use, by colonic segment

Left colon

1.301.13, 1.481.370.99, 1.88

Transverse colon

1.211.04, 1.421.130.88, 1.45

Right colon

1.010.89, 1.151.150.96, 1.38
ECV use, by adenoma size

Small adenoma ( < 10 mm)

1.261.12, 1.41--

Large adenoma ( ≥ 10 mm)

1.060.87, 1.30--
Adjusted rate ratio (ARR) APC 95 % CI SSAPC 95 % CI
ECV use (across periods)1.201.10, 1.321.281.14, 1.42

CI, confidence intervals; SSA, sessile serrated adenoma; FIT, fecal immunochemical test; ECV, Endocuff Vision; left colon, all segments from splenic flexure distally; right colon, all segments from hepatic flexure proximally; APC, adenomas per colonoscopy; SSAPC, sessile serrated adenomas per colonoscopy.

Average risk (reference) Surveillance or family history FIT + Left colon Transverse colon Right colon Small adenoma ( < 10 mm) Large adenoma ( ≥ 10 mm) CI, confidence intervals; SSA, sessile serrated adenoma; FIT, fecal immunochemical test; ECV, Endocuff Vision; left colon, all segments from splenic flexure distally; right colon, all segments from hepatic flexure proximally; APC, adenomas per colonoscopy; SSAPC, sessile serrated adenomas per colonoscopy.

Comparisons between periods

Among non-FIT patients, ADR was 41.5 % in the baseline period and increased to 48.3 % in the ECV period (ECV use/non-use combined, P  < 0.001). In FIT + patients, baseline ADR was 59.5 %, and this increased to 65.3 % in the ECV period ( P  < 0.001). A significant increase was seen for SSADR in non-FIT patients, with an increase from 15.9 % to 19.3 % between periods ( P  < 0.001). Detailed descriptions of detection-related outcomes, compared by period and restricted to the ECV period, are provided in the Supplementary Materials.

Propensity score matched analysis

Propensity score matching greatly reduced the standardized percent bias (Supplemental Materials) and resulted in a balanced sample of 2,876 procedures (1,438 with ECV and 1,438 without ECV) for estimating the effect of ECV. The AOR of detecting one or more adenoma(s) between the ECV and non-ECV matched groups was 1.16 (95 % CI 1.00 to 1.35). Use of ECV was also associated with increased odds of detecting one or more SSA(s), with an AOR of 1.22 (95 % CI 1.01 to 1.48). The complete results of the propensity score matched analysis is provided in the Supplementary Materials.

Outcomes and usage by endoscopist characteristics

ECV use was observed in 77.6 % of cases in the ECV period. When assessing individual endoscopists’ performances between periods, 28 of 32 endoscopists (87.5 %) meeting minimum volume thresholds, regardless of baseline performance level, observed increases in their non-FIT ADRs during the ECV period ( Fig. 2 ). This proportion was somewhat less pronounced for FIT + ADRs, where 24 of 32 endoscopists (75.0 %) experienced improvement in the ECV period. Individual endoscopists’ volumes and ADRs by patient FIT status and ECV use are provided in the Supplementary Materials. Overall, the improvements associated with ECV use were similar among low and high baseline performers in both the non-FIT and FIT + groups ( Fig. 3 ). ECV uptake was high, with 21 of 39 endoscopists (53.8 %) adopting the device for over half their procedures from the start of the ECV period, and an additional 13 of 39 (33.3 %) adopting the device midway through the ECV period. Patterns of uptake by endoscopist characteristics are provided in the Supplementary Materials.
Fig. 2

 Scatterplots of endoscopist ADRs by study period, stratified by patient FIT status and colored by physician baseline ADR quartiles among non-FIT patients. Endoscopists with fewer than 20 procedures in any of the four subcategories (n = 10) were removed.

Fig. 3

 Line graphs of endoscopist ADRs by use of ECV, stratified by patient FIT status and colored by physician baseline non-FIT ADR quartiles. Endoscopists with fewer than 20 procedures in any of the four subcategories (n = 13) were removed.

Scatterplots of endoscopist ADRs by study period, stratified by patient FIT status and colored by physician baseline ADR quartiles among non-FIT patients. Endoscopists with fewer than 20 procedures in any of the four subcategories (n = 10) were removed. Line graphs of endoscopist ADRs by use of ECV, stratified by patient FIT status and colored by physician baseline non-FIT ADR quartiles. Endoscopists with fewer than 20 procedures in any of the four subcategories (n = 13) were removed.

Procedural parameters

CIR was 98.1 % in procedures with no ECV use and 98.6 % in procedures with ECV use ( P  = 0.006). NAPCOM scores were 0 to 4 in 81.2 % of cases with ECV use and 79.5 % of cases with no ECV use, respectively ( P  = 0.007). In 312 procedures initially using ECV (4.6 %), the device was removed during the procedure. Among these cases, removal occurred most frequently in the sigmoid colon (59.0 %), followed by the rectosigmoid colon (18.0 %) and the anus (6.7 %). Patient discomfort was the most commonly cited reason for ECV removal (30.1 %). Full comparisons of procedural parameters between ECV use and non-use are provided in Table 3 . Procedures with aborted ECV use were associated with NAPCOM scores of 5 to 9 compared to 0 to 4 and with higher usage rates of fentanyl and midazolam (Supplementary Materials).

Procedural parameters compared across periods for 17,557 procedures (procedural cohort). 1

Variables, N (%) or mean (SD) Standard colonoscopy (n = 10,763) Colonoscopy with ECV (n = 6,794) P value
Cecum intubated (%)10,555 (98.1)6,700 (98.6)0.006
NAPCOMs

0–4 (%)

8,356 (79.5)5,407 (81.2)0.007

5–9 (%)

2,155 (20.5)1,254 (18.8)

Mean (SD)

2.7 (2.1)2.6 (2.0) < 0.001
Sedation used

Fentanyl in mcg, mean (SD)

55.6 (24.6)54.5 (24.1)0.004

Midazolam in mg, mean (SD)

3.1 (1.2)3.1 (1.2) < 0.001
Procedures with aborted ECV useN/A312 (4.6)N/A
Location of aborted ECV use (%)N/A

Anus

21 (6.7)

Rectosigmoid

56 (18.0)

Sigmoid

184 (59.0)

Descending colon

19 (6.1)

Splenic flexure

9 (2.9)

Transverse colon

13 (4.1)

Hepatic flexure

2 (0.6)

Ascending colon

8 (2.5)
Endoscopist rationale for aborted ECV useN/A

Colonic narrowing

34 (10.9)

Diverticulosis

40 (12.8)

Patient discomfort

94 (30.1)

Poor bowel preparation

35 (11.2)

Unable to intubate anus

58 (18.6)

Colonoscope changed

10 (3.2)

Other

41 (13.1)

ECV, Endocuff Vision; SD, standard deviation; NAPCOM, nurse-assessed patient comfort score.

Five procedures from ECV period (n = 17,562) removed where binary variable on ECV use missing.

0–4 (%) 5–9 (%) Mean (SD) Fentanyl in mcg, mean (SD) Midazolam in mg, mean (SD) Anus Rectosigmoid Sigmoid Descending colon Splenic flexure Transverse colon Hepatic flexure Ascending colon Colonic narrowing Diverticulosis Patient discomfort Poor bowel preparation Unable to intubate anus Colonoscope changed Other ECV, Endocuff Vision; SD, standard deviation; NAPCOM, nurse-assessed patient comfort score. Five procedures from ECV period (n = 17,562) removed where binary variable on ECV use missing.

Discussion

Our study demonstrates the clinical effectiveness of Endocuff Vision without compromising procedure-related safety or efficiency in a large cohort. ECV-assisted colonoscopy was associated with significantly higher ADR and APC compared to standard colonoscopy. Furthermore, all relevant procedural parameters remained unhindered by ECV use, including CIR, mean withdrawal time, overall procedure duration, sedation use, and patient comfort. A primary goal of screening-related colonoscopy is to detect and remove premalignant adenomas 1 ; therefore, efforts to measure and improve ADR are important. ADR is affected by patient-related factors, but also varies widely between endoscopists 7 . Thus, the ideal intervention for ADR should be broadly applicable to as many patients and endoscopists as possible. Interventions targeting endoscopists are effective but require planning and are costly 8 30 . Distal attachment devices are simple to use 12 13 14 , and ECV in particular is efficacious in improving ADR 20 21 22 23 . No large “real-world” studies have assessed the effectiveness of ECV. We demonstrated a significant improvement in ADR with ECV use (54.6 %) compared to non-use (46.7 %), consistent with that demonstrated in RCTs 20 21 22 . Furthermore, our ECV removal rate of 4.6 % is consistent with a previously reported range of 0.6 % to 4.1 % 20 22 . However, given that ECV use was discretionary and ultimately used in 78 % of cases, this rate may have underestimated the removal rate if ECV use was mandated. CIR, while high at 98.1 % with standard colonoscopy, was similar with ECV use (98.6 %); however, CIR may have been lower with ECV if its use had been mandated in all cases. Furthermore, mean endoscopist withdrawal time went from 9.2 minutes in the baseline period to 8.8 minutes in the ECV period, indicating that improvements in detection were not observed as a result of longer examination times. In a recent RCT, high performers derived the greatest benefit from ECV use 22 . In our study, no significant trends were observed regarding preferential improvements by baseline performance levels. ECV uptake was high, with no incentives for use or consequences for lack of use. Even with non-universal uptake, we observed a significant improvement in overall ADR from the baseline period (46.3 %) to the ECV period (53.2 %). Therefore, we demonstrate that ECV, when introduced at an institutional level, is broadly effective and practical. Furthermore, our results are generalizable given that over 40 endoscopists and 15,000 patients were included. The cost of devices is also important when considering clinical implementation. Though associated with minor incremental increases in the cost of a screening colonoscopy 31 , ECV devices are nevertheless costly when applied across a large program. However, given that each 1 % increase in ADR has been associated with a 3 % decrease in CRC risk 5 there is potential for long-term cost savings to the system with ECV use. Indeed, this has been shown in a cost-effectiveness analysis of the older generation of Endocuff 31 , whose incremental ADR improvement was less impressive than the newer-generation ECV. Conversely, our study suggests that ECV use increases ADR for adenomas < 10 mm, but not for adenomas ≥ 10 mm, the latter of which carry greater malignant potential 32 . Future economic analyses need to account for these important factors. The increase in ADR that we observed is greater than that reported in the clinical trial literature. This could be partly due to the observational design of our study, to which temporal trends in ADR and confounding may have contributed. However, the magnitude of effect observed despite the short 1-month time interval between baseline and ECV periods makes it unlikely that the increase in ADR with ECV use resulted from unrelated temporal increases in ADR over time. We also adjusted for study period in our multivariable models, demonstrating that ECV use was independently associated with improvements in ADR. Furthermore, our results were unchanged when analyzed within a subgroup analysis where ECV use and non-use was restricted to the ECV period. Endoscopists at our center receive report cards biannually which include their ADR, and thus, they are continually being observed. In addition, our findings occurred despite no increase in mean withdrawal time. Thus, it is unlikely that the Hawthorne effect influenced our results. Although nearly 80 % of procedures were completed using ECV, endoscopists were permitted to choose when to use the device, and thus, confounding could still have been introduced. However, we controlled for important potential confounders, including age, sex, procedure indication and study period, but did not have data on other potential confounders such as body mass index (BMI). Elevated BMI increases the risk of colorectal adenomas 33 , while colonoscopy in patients with either very high or low BMI can be more difficult 34 , which could have influenced decisions to use ECV. To further control for confounding, we also conducted a propensity score-matched analysis intended to mimic randomization by generating a balanced distribution of covariates among a group of treated (ECV) and control (no ECV) patients 35 . As this methodology required us to use only the ECV period data our sample size was drastically reduced. Nevertheless, while the effect size of ECV on ADR dropped, it remained substantial and statistically significant. Regardless, even if highly likely that our observed improvements in ADR are primarily due to ECV, we were ultimately unable to control for all known and unknown confounders due to our nonclinical trial design. Our study has other potential limitations. We could not evaluate the performance of ECV in detecting pathology in procedures when bowel cleansing was poor, given that such patients were excluded from our pathology cohort. It is routine practice at our center to reschedule patients with inadequate bowel prep, given the risk of missing significant pathology. However, patients with poor bowel preparation were included in our procedural cohort. It may be of future interest to assess ECV performance in this clinical context, whereby ECV could improve visualization or aid in the completion of difficult colonoscopies resulting from colonic redundancy. This was also a single-center study, but it included over 40 different endoscopists (both gastroenterologists and surgeons) of varying experience and practice focus (academics and non-academics) on over 15,000 patients with a variety of screening-related indications.

Conclusions

In conclusion, this large real-world study demonstrated that ECV use is associated with significant improvements in adenoma and SSA detection and is not associated with any measurable negative impacts on patient safety, procedural completeness, or procedural efficiency. ECV use appeared to be beneficial in the majority of studied major endoscopist- and patient-related categories. Further research is required to clearly elucidate the cost-effectiveness of ECV use to guide optimal healthcare resource utilization.
  35 in total

1.  Quality in the technical performance of colonoscopy and the continuous quality improvement process for colonoscopy: recommendations of the U.S. Multi-Society Task Force on Colorectal Cancer.

Authors:  Douglas K Rex; John H Bond; Sidney Winawer; Theodore R Levin; Randall W Burt; David A Johnson; Lynne M Kirk; Scott Litlin; David A Lieberman; Jerome D Waye; James Church; John B Marshall; Robert H Riddell
Journal:  Am J Gastroenterol       Date:  2002-06       Impact factor: 10.864

2.  Real-World Evidence - What Is It and What Can It Tell Us?

Authors:  Rachel E Sherman; Steven A Anderson; Gerald J Dal Pan; Gerry W Gray; Thomas Gross; Nina L Hunter; Lisa LaVange; Danica Marinac-Dabic; Peter W Marks; Melissa A Robb; Jeffrey Shuren; Robert Temple; Janet Woodcock; Lilly Q Yue; Robert M Califf
Journal:  N Engl J Med       Date:  2016-12-08       Impact factor: 91.245

Review 3.  Associations between endoscopist feedback and improvements in colonoscopy quality indicators: a systematic review and meta-analysis.

Authors:  Kirles Bishay; Natalia Causada-Calo; Michael A Scaffidi; Catharine M Walsh; John T Anderson; Alaa Rostom; Catherine Dube; Rajesh N Keswani; Steven J Heitman; Robert J Hilsden; Risa Shorr; Samir C Grover; Nauzer Forbes
Journal:  Gastrointest Endosc       Date:  2020-04-21       Impact factor: 9.427

4.  High-definition colonoscopy versus Endocuff versus EndoRings versus full-spectrum endoscopy for adenoma detection at colonoscopy: a multicenter randomized trial.

Authors:  Douglas K Rex; Alessandro Repici; Seth A Gross; Cesare Hassan; Prasanna L Ponugoti; Jonathan R Garcia; Heather M Broadley; Jack C Thygesen; Andrew W Sullivan; William W Tippins; Samuel A Main; George J Eckert; Krishna C Vemulapalli
Journal:  Gastrointest Endosc       Date:  2018-03-09       Impact factor: 9.427

5.  Impact of Electronic Chromoendoscopy on Adenoma Miss Rates During Colonoscopy: A Systematic Review and Meta-analysis.

Authors:  Madhav Desai; Lavanya Viswanathan; Neil Gupta; Kevin F Kennedy; Alessandro Repici; Cesare Hassan; Prateek Sharma
Journal:  Dis Colon Rectum       Date:  2019-09       Impact factor: 4.585

6.  Cap-assisted colonoscopy and detection of Adenomatous Polyps (CAP) study: a randomized trial.

Authors:  Heiko Pohl; Steve P Bensen; Arifa Toor; Stuart R Gordon; L Campbell Levy; Brian Berk; Peter B Anderson; Joseph C Anderson; Richard I Rothstein; Todd A MacKenzie; Douglas J Robertson
Journal:  Endoscopy       Date:  2015-06-30       Impact factor: 10.093

7.  The evolution of cancer of the colon and rectum.

Authors:  T Muto; H J Bussey; B C Morson
Journal:  Cancer       Date:  1975-12       Impact factor: 6.860

8.  Effect of Dynamic Position Changes on Adenoma Detection During Colonoscope Withdrawal: A Randomized Controlled Multicenter Trial.

Authors:  Seung-Woo Lee; Jae Hyuck Chang; Jeong-Seon Ji; Il Ho Maeong; Dae Young Cheung; Joon Sung Kim; Young-Seok Cho; Wook-Jin Chung; Bo-In Lee; Sang-Woo Kim; Byung-Wook Kim; Hwang Choi; Myung-Gyu Choi
Journal:  Am J Gastroenterol       Date:  2015-11-03       Impact factor: 10.864

9.  An Introduction to Propensity Score Methods for Reducing the Effects of Confounding in Observational Studies.

Authors:  Peter C Austin
Journal:  Multivariate Behav Res       Date:  2011-06-08       Impact factor: 5.923

10.  Prophylactic Endoscopic Clipping Does Not Prevent Delayed Postpolypectomy Bleeding in Routine Clinical Practice: A Propensity Score-Matched Cohort Study.

Authors:  Nauzer Forbes; Robert J Hilsden; Brendan Cord Lethebe; Courtney M Maxwell; Mubasiru Lamidi; Gilaad G Kaplan; Matthew T James; Roshan Razik; Lawrence C Hookey; William A Ghali; Michael J Bourke; Steven J Heitman
Journal:  Am J Gastroenterol       Date:  2020-05       Impact factor: 12.045

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