Effect of Endocuff use on colonoscopy outcomes: A systematic review and meta-analysis

Abstract

BACKGROUND

Endocuff - a plastic device with flexible projections - mounted on the distal tip of the colonoscope, promises improved colonic mucosa inspection.

AIM

To elucidate the effect of Endocuff on adenoma detection rate (ADR), advanced ADR (AADR) and mean number of adenomas per colonoscopy (MAC).

METHODS

Literature searches identified randomized-controlled trials evaluating Endocuff-assisted colonoscopy (EAC) vs conventional colonoscopy (CC) in terms of ADR, AADR and MAC. The effect size on study outcomes was calculated using fixed or random effect model, as appropriate, and it is shown as relative risk (RR) [95% confidence interval (CI)] and mean difference (MD) (95%CI). The rate of device removal in EAC arms was also calculated.

RESULTS

We identified nine studies enrolling 6038 patients. All studies included mixed population (screening, surveillance and diagnostic examinations). Seven and two studies evaluated the first and the second-generation device, respectively. EAC was associated with increased ADR compared to CC [RR (95%CI): 1.18 (1.05-1.32); Ι² = 71%]; EAC benefits more endoscopists with ADR ≤ 35% compared to those with ADR > 35% [RR (95%CI): 1.37 (1.08-1.74); Ι² = 49% vs 1.10 (0.99-1.24); Ι² = 71%]. In terms of AADR and MAC, no difference was detected between EAC and CC [RR (95%CI): 1.03 (0.85-1.25); Ι² = 15% and MD (95%CI): 0.30 (-0.17-0.78); Ι² = 99%]. Subgroup analysis did not show any difference between the two device generations regarding all three endpoints. In EAC arms, the device had to be removed in 3% (95%CI: 2%-5%) of the cases mainly due to tortuous sigmoid or presence of diverticula along it.

CONCLUSION

EAC increases ADR compared to CC, especially for endoscopists with lower ADR. On the other hand, no significant effect on AADR and MAC was detected.

Key Words: Adenoma detection rate; Colonoscopy; Adenoma; Detection; Endocuff; Endocuff-Vision

Core tip: Colonoscopy is the optimal diagnostic modality for the detection and removal of colon adenomas. However, one fourth of them may remain undetected during conventional colonoscopy (CC). Endocuff - a single-use device mounted onto the tip of the scope - aims to improve lesion detection rate during colonoscopy. Our meta-analysis of nine randomized control studies including more than 6000 patients demonstrates the use of the Endocuff device significantly improves adenoma detection rate compared to CC, while endoscopists with lower adenoma detection rate may benefit at most from its use.

INTRODUCTION

Colonoscopy is the preferred and most widely used method to screen for colorectal cancer (CRC) and it has been associated with decreased CRC incidence and deaths due to early detection and endoscopic resection of colorectal adenomas[1]. Adenoma detection rate (ADR) - the percentage of colonoscopies with at least one adenoma - is considered the cornerstone among quality indicators for colonoscopy since it is the only metric that can effectively predict post-colonoscopy CRC and is inversely associated with the risk of CRC cancer[2-4]. Nevertheless, colonoscopy remains an imperfect diagnostic modality, as it may fail to detect up to one fourth of existing colonic adenomas[5,6]. Accountable for this failure may be the poor bowel preparation, suboptimal maneuvering of the scope during withdrawal or difficulty to efficiently visualize the proximal aspects of the haustral folds, flexures or the ileocecal valve with conventional colonoscopy (CC). Various advanced technology endoscopes and add-on devices have been implemented in an effort to optimize the quality of colonoscopy by diminishing the procedures’ adenoma miss rate[7]. Endocuff (Arc Medical Design, Leeds, United Kingdom) and its descendant Endocuff-Vision (Norgine Pharmaceuticals Ltd, Uxbridge, United Kingdom) (Figure 1A and B) is a single-use device mounted on the tip of the scope that consists of a cylindrical core with one (Endocuff-Vision) or two (Endocuff) rows of flexible projections[8]. It is the add-on device with the most available literature, so far; still, its impact on ADR remains conflicting with data suggesting equivocal benefit from its use. Aside individual studies, three contemporary meta-analysis have tried to pool results of the aforementioned studies[9-11]. However, inclusion of different study designs, inconsistent endpoints among the studies analyzed and the high noted heterogeneity call for careful interpretation of their results. We therefore intended to re-evaluate the impact of Endocuff on ADR, through an updated systematic review with meta-analysis incorporating data from published randomized controlled trials (RCTs) and addressing limitations of previous meta-analysis.

Figure 1 The first generation Endocuff (A) and Endocuff Vision (B).

MATERIALS AND METHODS

Protocol registration

This study was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) recommendations[12] and the review’s protocol can be accessed at the International Prospective Register of Systematic Reviews (PROSPERO), under registration number CRD42018095779.

Eligibility criteria

Eligibility criteria were a priori determined according to the PICO statement as follows; P: patients undergoing colonoscopy for any indication; I: Endocuff-assisted colonoscopy (EAC); C: comparison of EAC with CC; O: colonoscopy outcomes (as defined in the Outcome measures section). We included studies only if they were prospective, randomized controlled in design, published as full text in the English language. Non-randomized prospective, retrospective, feasibility or pilot studies, meta-analysis, editorials, narrative reviews, case reports/series, conference abstracts, studies not reporting on ADR and duplicate publications were excluded.

Identification and selection of studies

A literature search of PubMed and the Cochrane Central Register of Controlled Trials electronic databases (from database inception to October 2018) was carried out to identify studies exploring the effect of EAC on adenoma detection. The search was performed independently by two investigators using the free text terms “adenoma*”, “random*” both as medical subject headings (MeSH) and free-text terms combined with the Boolean set operator ‘AND’ with the term: “Endocuff”, as medical subject heading and the free text term. The complete electronic search strategy is outlined in Supplementary Table 1. All references retrieved from the electronic databases were imported into reference management software (EndNote X7, Thomson Reuters, New York City, NY, United States). After duplicates’ removal, two masked reviewers first assessed the titles and abstracts of all results for inclusion; then, judged eligibility on the selected articles independently, using predesigned eligibility forms. Disagreements were resolved by consensus. Bibliographies of all eligible studies identified initially, were also hand-searched to identify any potentially studies missed during the initial search. Where data could not be retrieved from the published manuscript, the corresponding author was contacted for further information.

Table 1 Characteristics of included studies.

Author (yr)	Country	Study period	Centres, n	Endoscopists, n	Device	Endoscopes	Patients, n	EAC/CC, n/n	Indication	Female EAC/CC, n (%)	Age EAC/CC, mean ± SD	Screening EAC/CC, n (%)	Bowel Preparation EAC/CC
Floer et al[15]	Germany	02.2014-07.2014	4	10	Endocuff	HD	492	249/243	Mixed	127 (51)/134 (55.1)	64 ± 3.2/63 ± 3.3	NR	11 (1-2)/1 (1-2) [median (IQR)]
Van Doorn et al[16]	Netherlands	08.2013-10.2014	5	20	Endocuff	HD	1063	530/533	Mixed	266 (50.2)/248 (46.5)	65 ± 2.2/65 ± 2.3	201 (37.9)/197 (36.9)	29 (7-9)/8 (7-9) [median (IQR)]
Biecker et al[17]	Germany	02.2013-08.2013	2	6	Endocuff	HD	498	245/253	Mixed	127 (51.8)/122 (48.2)	65 ± 3.3/68 ± 3	NR	169% good/65% good
De Palma et al[18]	Italy	02.2015 -03.2016	1	4	Endocuff	HD	274	137/137	Mixed	66 (48.2)/65 (47.4)	55 ± 12.6/55.7 ± 12.3	32 (23.4)/29 (21.2)	7.08 ± 1.06/7.18 ± 0.97 [mean ± SD]
Bhattacharyya et al[19]	United Kingdom	09.2014-09.2015	1	4	Endocuff Vision	HD	531	266/265	FOBT (+) screening, surveillance	104 (39.1)/85 (32.1)	68 ± 1.2/67 ± 1.2	180 (70.7)/186 (69.1)	3Good/adequate 97.7% /Good adequate 97.7%
González-Fernández et al[20]	Mexico	04.2014-11.2015	1	18	Endocuff	Mixed	337	174/163	Screening	124 (71)/124 (76)	60 ± 1.8/62 ± 2.5	174 (100)/163 (100)	27 (6-8)/7 (6-8) [median (IQR)]
Ngu et al[21]	United Kingdom	11.2014-02.2016	7	48	Endocuff Vision	Not reported	1772	888/884	FOBT (+) screening, surveillance	381 (42.9)/ 382 (43.2)	61.7 ± 11.7/62.1 ± 11.1	274 (30.9)/282 (32)	NR
Wada et al[22]	Japan	04.2015-09.2015	1	1	Endocuff	HD	477	239/238	Mixed	117 (48.9)/123 (51.7)	61.2 ± 3.3/62.2 ± 3.3	89 (37.2)/74 (31.1)	27.91 ± 0.94/7.88 ± 1.03 [mean ± SD]
Rex et al[23]	United States, Italy	NR	3	3	Endocuff	HD	594	299/295	Mixed	141 (47) /141 (47)	63.2 ± 8.2/62.6 ± 8.3	126 (42)/127 (43)	28.12 ± 1.33 overall, no differences between the 2 groups

¹Based on Leighton et al[25] scale (1 = good; 2 = fair; 3 = poor);

²Boston Bowel Preparation Scale[24] ;

³Based in Rees et al[26] scale. EAC: Endocuff-assisted colonoscopy; CC: Conventional colonoscopy; HD: High definition; SD: Standard deviation; FOBT: Fecal occult blood test; Mixed: Screening, surveillance and diagnostic cases.

Data extraction and quality assessment

Two reviewers independently recorded data from all eligible studies onto a Microsoft Excel spreadsheet (XP professional edition; Microsoft, Redmond, WA, United States) using a predefined data extraction form. The following data were extracted from each trial: first author’s name, publication year, country of origin, number of centers, number of participating endoscopists, indication for colonoscopy among the population examined, generation of the device used, number of total participants enrolled, number of EAC examinations, mean age of participants and percentage of female among them. Additionally, we extracted the number of adenomas, advanced adenomas, mean number of adenomas per patient detected during EAC and the standard colonoscopy. Finally, for each EAC arm we extracted the number of colonoscopies where the device had to be removed to allow examination’s completion.

Assessment of risk of bias

This was carried out independently by two investigators using the Cochrane collaboration’s risk of bias assessment tool[13]. Risk of bias was evaluated by recording the methods used to generate the randomization schedule and conceal treatment allocation (selection bias), whether blinding was implemented for participants, personnel (performance bias), and outcomes assessment (detection bias), what proportion of subjects completed follow-up (attrition bias) and whether there was evidence of selective reporting of outcomes (reporting bias). Each study included in the meta-analysis was classified as having a high, low or unclear risk of bias, with reference to each of the abovementioned domains, while disagreements were resolved by discussion.

Outcome assessment

The primary endpoint of this study was to examine the effect of EAC on ADR. Secondary endpoints encompass the effect of EAC on detection rate of advanced adenoma (AADR, referring to adenomas ≥ 10mm, with villous component, and/or high-grade dysplasia) and mean number of adenomas per colonoscopy (MAC). We also calculated the device removal rate in the EAC arms in order to reach the cecum.

Statistical analysis

Regarding the primary endpoint as well as AADR, relative risks (RRs) with 95% confidence intervals (95%CI) and respective number needed to treat (NNT) were calculated. For MAC, the inverse variance statistical method was used and mean difference (MD) with 95%CI was calculated. Device removal rate in the EAC arms was calculated using generic inverse variance analysis and is presented as percentage with respective 95%CI. All outcomes were meta-analyzed using either the fixed-effects model (Mantel and Haenszel method) or the random-effects model (DerSimonian and Laird method) in the absence or presence of significant heterogeneity, respectively. For all outcomes, the threshold for statistical significance was set to P < 0.05. Review Manager 5.3 (The Nordic Cochrane Centre, The Cochrane Collaboration, Copenhagen, Denmark) and StatsDirect 3 (StatsDirect Ltd, Sale, Cheshire, England) software packages were used to meta-analyze all data and construct forest and funnel plots of all outcomes. Funnel plots were assessed for evidence of asymmetry, hence potential publication bias, using either the Egger test[14] in case of ≥ 10 available studies or visual inspection in case of less than 10 available studies.

Heterogeneity assessment and sensitivity analysis

Heterogeneity among studies was assessed using the I² statistic with a cut-off of < 50% (or a P value < 0.1) as threshold to indicate statistically significant heterogeneity. In that case, multiple sensitivity analyses were carried out aiming to identify factors contributing to the detected heterogeneity. The predefined sensitivity analysis was performed by: (1) exclusion of one study at a time as proposed by the Cochrane collaboration; (2) per examinations’ indication rate (screening ≤ 50% vs > 50%); (3) per generation of device; and (4) per ADR (≤ 35% vs > 35%) of the CC group.

RESULTS

Study selection

The initial search yielded 77 citations. After title and abstract review, 56 articles were excluded as irrelevant or duplicates; therefore 21 articles underwent a full-text assessment. Among these, 12 were further deemed to be ineligible for various reasons, which left 9 articles[15-23] meeting all inclusion criteria to be included in the systematic review and meta-analysis. Figure 2 depicts the exact search process.

Figure 2 Flow diagram of assessment of eligible studies identified.

Characteristics of studies included

Overall, 9 studies with 9 sets of data enrolling 6038 patients were included in the analysis; 3027 patients underwent EAC and 3011 CC. Six studies were conducted in Europe[15-19,21], one in Mexico[20], one in Japan[22] and one in United States and Italy[23]. Five of the studies[15-17,21,23] were of multicenter design (2-7 recruiting sites) and in four studies[15,16,20,21] 10 or more endoscopists performed the examinations; in one study[20] fellows took also part in the examinations. The first generation Endocuff device was evaluated in 7[15-18,20,22,23] and Endocuff-Vision in 2 studies[19,21], respectively. In terms of colonoscopies’ indications most studies[15-18,22,23] evaluated patients of various indications, including screening, surveillance and diagnostic cases. In these studies, the percentage examinations for CRC screening per arm ranged from 21.1% to 43%; two studies[15,17] did not report the percentage of screening examinations. In two studies[19,21] fecal occult blood test (FOBT) (+) and surveillance cases were included, while a sole study[20] enrolled exclusively individuals undergoing screening colonoscopy. No difference in terms of participants’ gender (female 32.1%-76%) and mean age (55-68 years) was noted between EAC and CC group. Finally, different scales were used to estimate the quality of bowel preparation[24-26]; no differences were found between the two groups in any of the studies. Table 1 summarizes the basic characteristics of included studies.

Methodological quality and risk of bias

The per study risk of bias according to Cochrane collaboration’s risk of bias assessment tool is summarized in Figure 3. Our study included well-designed RCTs with registered protocols and pre-specified endpoints that were reported adequately. However, concerns regarding potential selection bias were raised for one[17] and 4 studies[16,17,20,21] where authors did not report the exact methods of randomization and allocation, respectively. It is worthy to note that due to its nature - application of an additional device at the end of the scope - neither patients nor endoscopists could be blinded to the intervention, exposing all studies to inevitable, acknowledged by all authors, high risk of both performance and detection bias.

Figure 3 Risk of bias of included trials.

Primary endpoint - ADR

All 9 studies[15-23] (n = 6024) provided data regarding the primary endpoint. Overall, 1374/3018 individuals were detected with at least one adenoma in the EAC arm compared to 1204/3006 in the CC arm. Thus, the use of Endocuff devices was associated with a statistical significantly increased ADR [RR (95%CI): 1.18 (1.05-1.32), P = 0.005, NNT = 19; Figure 4] with substantial detected heterogeneity (I² = 71%, P < 0.001). There was no evidence of publication bias (Supplementary Figure 1A).

Figure 4 Forest plot for studies assessing the effect of Endocuff-assisted colonoscopy on adenoma detection rate. EAC: Endocuff-assisted colonoscopy; CC: Conventional colonoscopy; CI: Confidence interval.

We underwent a multiple sensitivity analysis in order to explore the aforementioned heterogeneity. As seen in Table 2, the step-by-step sensitivity analysis did not identify a sole study being responsible for the detected heterogeneity. Similarly, heterogeneity was not eliminated when studies were evaluated according to their density in screening examinations (≤ 50% or > 50% of the participants). Moreover, heterogeneity was further maintained independently of the device generation (Endocuff vs Endocuff-Vision) that was used. However, this was not the case when studies were assessed according to endoscopists’ ADR in the CC arm. In details, heterogeneity was eliminated (I² = 49%, P = 0.12) for the group of studies[15,17,18,20] with low-to-moderate detectors (ADR in the CC arm ≤ 35%). Heterogeneity’s disappearance was accompanied with a further strengthen of the measure effect; RR (95%CI): 1.37 (1.08-1.74), P = 0.009, NNT = 11. On the contrary, heterogeneity was further present (I² = 71%, P = 0.008) for studies[16,19,21-23] including high detectors (ADR in the CC arm > 35%) with marginal loss of statistical significance for the meta-analytic outcome [RR (95%CI): 1.10 (0.99-1.24), P = 0.08, NNT = 23].

Table 2 Multiple sensitivity analysis for outcomes with detected heterogeneity.

Sensitivity analysis	ADR, I2% (P value)/RR (95%CI)	MAC, I2% (P value)/MD (95%CI)
None performed	71 (< 0.001)	99 (< 0.001)
	1.18 (1.05-1.32)	0.30 (-0.17-0.78)
By excluding one study at a time
Floer et al[15]	61 (0.008)/1.13. (1.02-1.26)	97 (< 0.001)/0.36 (-0.08-0.79)
Van Doorn et al[16]	69 (0.002)/1.22 (1.07-1.38)	99 (< 0.001)/0.32 (-0.20-0.85)
Biecker et al[17]	73 (< 0.001)/1.17 (1.03-1.32)	79 (< 0.001)/0.17 (0.01-0.33)
De Palma et al[18]	74 (< 0.001)/1.19 (1.06-1.35)	ΝΑ
Bhattacharrya et al[19]	68 (0.003)/1.22 (1.08-1.38)	99 (< 0.001)/0.36 (-0.16-0.88)
González-Fernández et al[20]	71 (< 0.001)/1.16 (1.03-1.30)	ΝΑ
Ngu et al[21]	75 (< 0.001)/1.20 (1.04-.38)	99 (< 0.001)/0.32 (-0.21-0.86)
Wada et al[22]	66 (0.005)/1.14 (1.02-1.28)	99 (< 0.001)/0.28 (-0.25-0.80)
Rex et al[23]	74 (< 0.001)/1.19 (1.04-1.37)	99 (<0.001)/0.30 (-0.21-0.82)
By indication of examinations
Screening ≤ 50%[16,18,21-23]	63 (0.03)/1.31 (1.01-1.27)	22 (0.28)/0.27 (0.15-0.40)
Screening > 50%[19,20]	80 (0.02)/1.21 (0.70-2.09)	ΝΑ
By generation of device
First generation Endocuff[15-18,20,22,23]	73 (0.001)/1.25 (1.07-1.46)	100 (< 0.001)/0.39 (-0.20-0.98)
Endocuff Vision[19,21]	68 (0.08)/1.05 (0.90-1.23)	53 (0.14)/0.11 (-0.12-0.34)
By ADR of the conventional colonoscopy group
≤ 35%[15,17,18,20]	49 (0.12)/1.37 (1.08-1.74)	100 (< 0.001)/0.50 (-0.48-1.48)
> 35%[16,19,21-23]	71 (0.008)/1.10 (0.99-1.24)	49 (0.10)/0.22 (0.08-0.37)

ADR: Adenoma detection rate; MAC: Mean number of adenomas per colonoscopy; RR: Relative risk; CI: Confidence interval; MD: Mean difference.

Secondary endpoints

Advanced ADR: Advanced ADR was reported in 6 studies[15,16,19-22] (n = 4667). At least one advanced adenoma was detected in 252/2342 and in 244/2325 participants in the EAC and CC arm, respectively. Thus, detection of advanced adenomas was not profited when Endocuff devices were used; AADR [RR (95%CI): 1.03 (0.85-1.25)], P = 0.77, NNT = 333 (Figure 5). Neither heterogeneity (I² = 15%, P = 0.32) nor publication bias was detected (Supplementary Figure 1B).

Figure 5 Forest plot for studies assessing the effect of Endocuff-assisted colonoscopy on advanced adenoma detection rate. EAC: Endocuff-assisted colonoscopy; CC: Conventional colonoscopy; CI: Confidence interval.

MAC: MAC was provided or it was calculated in 7 studies[15-17,19,21-23] (n = 4395). Using random effects model, MAC did not differ between EAC and CC [MD (95%CI): 0.30 (-0.17-0.78), P = 0.21] (Figure 6). There was no evidence of publication bias (Supplementary Figure 1C). However, substantial heterogeneity (I² = 99%, P < 0.001) was present and multiple sensitivity analyses were performed to explore it (Table 2). Excluding one study at a time and rerunning the analysis failed to identify any single study that could contribute significantly to the detected heterogeneity. Evaluating separately studies with ≤ 50% of their participants[16,21-23] with screening indication led to elimination of the heterogeneity (I² = 22%, P = 0.28) and altered significantly in favor of EAC the metanalytic outcome [MD (95%CI): 0.27 (0.15-0.40); P < 0.001]. Similarly, heterogeneity almost disappeared (I² = 53%, P = 0.14) when only studies using the Endocuff Vision[19,21] were taken into account, but no effect on the measure effect was noted [MD (95%CI): 0.11 (-0.12-0.34), P = 0.35]. Finally, when looking separately at low-to-moderate and high detectors, heterogeneity was only eliminated (I² = 49%, P = 0.10) for the group of high detectors[16,19,21-23]; elimination that was accompanied with an alteration in the meta-analytic outcome in favor of EAC [MD (95%CI): 0.22 (0.08-0.37), P = 0.003].

Figure 6 Forest plot for studies assessing the effect of Endocuff-assisted colonoscopy on mean number of adenomas per colonoscopy. EAC: Endocuff-assisted colonoscopy; CC: Conventional colonoscopy; CI: Confidence interval; SD: Standard deviation.

Device removal rate: In five studies[16,19,21-23], the authors reported the number of EAC examinations where the device had to be removed in order to allow its completion. Overall, the device was removed in 85 among 2219 examinations [Device removal rate (95%CI): 3% (2%-5%), P < 0.001, I² = 79%, P < 0.001; Figure 7] with no detection of publication bias (Supplementary Figure 1D). In the vast majority of the cases (68/85) the Endocuff had to be removed due to either tortuous sigmoid or presence of sigmoid diverticular disease preventing performer to advance the scope beyond this level.

Figure 7 Forest plot for studies assessing the rate of device removal in the Endocuff-assisted colonoscopy arms of the included studies. SE: Standard error; CI: Confidence interval.

DISCUSSION

Realizing the inherit limitations of colonoscopy has led to adoption of various measures in order to improve its effectiveness; this includes advanced technology endoscopes, add-on devices, or adjustments in technique and preparation. Add-on devices have been widely accepted not only in clinical research, but also in everyday clinical practice, as they are accessories that are relatively cheap, easy to handle, safe, and single-use devices performance. Their impact on colonoscopy outcomes remains controversial, as published data are inhomogeneous. Thus, we undertook the task of evaluating the impact of the use of the most thoroughly investigated add-on device, namely Endocuff, primarily on ADR. This was done by means of an updated systematic review with meta-analysis, in which we incorporated data deriving exclusively from high-quality sources, i.e. only RCTs with registered protocols and pre-specified adequately reported endpoints, while simultaneously we attempted to tackle limitations of previously published relevant meta-analysis. In terms of our primary endpoint, our results display a statistically significant increase of ADR associated to EAC [RR (95%CI): 1.18 (1.05-1.32), NNT = 19]. The importance of this association is clear, as ADR is the most clinically relevant colonoscopy quality indicator, that inversely correlates with the risk of CRC cancer and interval CRC[2,3,27]. Moreover, this association was more profound for studies with low-to-moderate detectors (ADR in the CC arm ≤ 35%)[15,17,18,20].

So far, three relevant meta-analysis regarding EAC have been published[9-11]. However, our study has some significant differences. In the study by Chin et al[9], 9 studies involving 5624 patients were included and EAC was associated with increased ADR [odd ratio (OR) = 1.49, 95%CI: 1.23-1.80, P = 0.03] as well as detection of sessile serrated adenomas (OR = 2.34, 95%CI: 1.63-3.36, P < 0.001) compared to CC. The results are consistent to ours, but the quality of the studies included in this meta-analysis could be viewed as a limitation, as of the 9 studies that were analyzed, 4 were retrospective cohort studies, 1 was a prospective observational study and only 4 were RCTs; thus, its results could raise some skepticism. On the other hand, the meta-analysis by Facciorusso et al[10] had a different methodology and included studies with several distal add-on devices, that were compared either with each other or with CC. With regard to EAC performance, 9 studies assessed the impact of EAC compared to CC and found low-quality evidence suggesting that Endocuff increases ADR (RR = 1.21; 95%CI: 1.03-1.41). The results are in agreement to ours; however, the inclusion of various types of studies (including 4 abstracts) limits the quality of the evidence, as the authors themselves repeatedly acknowledge. Finally, the meta-analysis by Williet et al[11] demonstrated a significant increase of ADR in the EAC group compared to CC [41.3% vs 34.2%; risk ratio = 1.20, 95%CI: 1.06-1.36, P = 0.003], particularly for low-to-moderate ADR operators (< 35%): risk ratio = 1.51, 95%CI: 1.35-1.69, P < 0.001). These results are also in accordance to ours, but it should be pointed-out that they derive from the analysis of 12 papers - all RCTs - which however include 5 Abstracts among them.

Although ADR represents the most robust quality indicator of colonoscopy, it still has its own weaknesses[28-30] and thus a plethora of other quality indicators are also used in order to ameliorate the limitations of ADR. Among these metric quality indicators, adenoma miss rates (AMR) has been used extensively in tandem studies, as it is consistent to the back-to-back study design[31]. In a recently published meta-analysis[7], we showed that AMR was significantly lower when add-on devices were used, compared to CC. When restricting the analysis to EAC studies[18,32], Endocuff use significantly decreased AMR compared to CC (RR = 0.23, 95%CI: 0.14-0.39). ADR and AMR being in the same outcome direction -both in favor of devise use- has been recently proposed to enhance the validity of the results regarding ADR[33].

In our present meta-analysis, we examined the impact of EAC to the detection rate of advanced adenomas, which did not show an improvement from implementation of EAC as well as the MAC, which was associated with a benefit from performing EAC compared to CC for the group of high detectors; this is one of the few points where high detectors improve one of their metrics with implementation of EAC; usually the improvement in colonoscopy metrics addresses those endoscopists with lower performance[10,11]. Moreover, our analysis also showed that in terms of ADR, EAC benefits mostly those endoscopists with ADR ≤ 35% compared to those with ADR> 35% (i.e., low-to-moderate compared to high detectors). Similar results demonstrating that EAC mostly benefits low-to-moderate detectors instead of those with ADR > 45% were shown in the recent meta-analysis by Williet et al[11]. An interpretation of these results is difficult and rather speculative; a possible explanation could be that high detectors already have increased ADRs and have already reached the threshold of adenoma detection. On the other hand, even high detectors might have the opportunity to improve their metrics with EAC; as their ADR is already high, maybe the improvement that EAC can offer to these high detectors is limited in merely increasing the mean number of adenomas which they can detect in a given colonoscopy. Whether conceivable burden in terms of cost and local availability outweighs potential benefits of EAC in the high-detectors group remains to be answered in future trials.

Although we did not undertake formal cost-effectiveness analysis, this issue deserves our consideration. Taking into account both that the optimization by decrease of the post-polypectomy surveillance interval deriving from these modalities has been a target of skepticism lately[34] and that EAC was not associated with any benefit in terms of AADR and MAC, one could argue that with an overall NNT of 19 (the respective number escalates to 23 for high detectors) the true worth of EAC is questionable. Therefore, future studies on EAC or other devices and techniques that intend to improve ADR should perhaps focus more on their true cost-benefit, avoiding repetitions and analyses of the same studies, with similar outcomes, as is often occurs nowadays, not only in endoscopy but also in other medical fields[35].

Among the qualities of our meta-analysis we should highlight the use of a predefined protocol, the inclusion of studies only of the highest quality (full-text RCTs), as well as the fact that we performed multiple sensitivity analysis in order to ameliorate heterogeneity. This heterogeneity is one of the basic limitations of our study, besides our efforts to reduce it. Other limitations include those discussed in the previous paragraph, but -most important- the limitation shared by all studies that examine the value of add-on devices, i.e. that the device is not invisible and therefore the endoscopist cannot perform a truly blinded assessment.

To conclude, our study demonstrated that EAC increases ADR compared to CC. This benefit is more profound for endoscopists with a low-to moderate ADR (ADR ≤ 35%). It also seems to improve the MAC of high adenoma detectors (ADR > 35%); therefore, it can be used by all endoscopists to improve colonoscopy performance. However, its true value in terms of cost-benefit remains somewhat obscure and should be further investigated, especially in comparison to other low-cost techniques.

ARTICLE HIGHLIGHTS

Research background

Although colonoscopy is the optimal diagnostic modality for colorectal cancer screening, it still remains imperfect since almost one fourth of colonic adenomas are not detected during conventional colonoscopy (CC). Endocuff is a single-use device mounted onto the tip of the scope devised to flatten mucosa folds; thus, promising to improve the detection of precancerous lesions.

Research motivation

To date, Endocuff is the add-on device with the most available literature. Despite that, whether it has beneficial impact on adenoma detection rate during colonoscopy still remains elusive. Data both from individual studies and contemporary meta-analysis remain conflicting, showing a small albeit incremental benefit of its use.

Research objectives

We aimed to systematically review the literature for published randomized controlled trials and re-evaluate the impact of Endocuff on adenoma detection rate (ADR), through a meta-analysis addressing the limitations of previous meta-analysis conducted on this matter.

Research methods

We performed an electronic search in PubMed and the Cochrane Central Register of Controlled Trials electronic databases (from database inception to October 2018) using the free text terms “adenoma*”, “random*” both as medical subject headings and free-text terms combined with the Boolean set operator ‘AND’ with the term: “Endocuff”, as medical subject heading and the free text term. We restricted our search to prospective, randomized controlled in design, published as full text in the English language. To identify further relevant studies, we checked the reference lists of the selected articles.

Research results

We ultimately identified nine studies that matched the search criteria. enrolling 6038 patients. Of note, mixed population (screening, surveillance and diagnostic examinations) was included in all of them. Endocuff-assisted colonoscopy (EAC) was associated with increased ADR compared to CC and was of particular benefit for endoscopists with ADR lower than 35%. Regarding all other study outcomes (advanced ADR and mean number of adenomas per colonoscopy), no difference between the two modalities was evident. Similarly, multiples subgroup analysis did not show any difference between the two device generations regarding all three endpoints.

Research conclusions

This meta-analysis of high-quality studies indicates that EAC improves ADR compared to CC and it is significantly more valuable for endoscopists with a low-to moderate ADR (ADR ≤ 35%). EAC is also a powerful tool in the hands of high adenoma detectors (ADR > 35%), as it seems to improve the mean number of adenomas per colonoscopy.

Research perspectives

Although promising, more robust data are definitely warranted in order to systematically assess the performance of Endocuff. A significant issue that remains in future studies to be addressed is the efficacy of the device in terms of screening colonoscopy, since no study has been conducted in an exclusively screening population yet. Moreover, its true value in terms of cost-benefit is not clear yet, especially in comparison to other low-cost techniques.