Evidence map›Paper›PMID 40827602›Full record

SynthesisThe Cochrane database of systematic reviews2025

Linked color imaging versus conventional white-light colonoscopy for the detection of colorectal polyps.

Jun Watanabe, Takeshi Kanno, Eiichi Kakehi, Kazuma Rifu, Takehiro Kagaya, Kazuhiko Kotani, Yuki Kataoka

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in The Cochrane database of systematic reviews, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Comparative Performance of Image-Enhanced Endoscopy for Adenoma and Sessile Serrated Lesion Detection: A Network Meta-Analysis.Digestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society · 2026
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Jun WatanabeDivision of Community and Family Medicine, Jichi Medical University, Tochigi, Japan.ORCID 0000-0003-4477-4238
Takeshi KannoDivision of Gastroenterology, Tohoku University Graduate School of Medicine, Miyagi, Japan.ORCID 0000-0001-7305-5924
Eiichi KakehiDepartment of General Medicine, Tottori Municipal Hospital, Tottori, Japan.ORCID 0000-0002-4556-8412
Kazuma RifuDepartment of Surgery, Division of Gastroenterological, General and Transplant Surgery, Jichi Medical University, Tochigi, Japan.ORCID 0000-0001-8456-3334
Takehiro KagayaDepartment of Surgery, Division of Gastroenterological, General and Transplant Surgery, Jichi Medical University, Tochigi, Japan.ORCID 0000-0001-6637-9568
Kazuhiko KotaniDivision of Community and Family Medicine, Jichi Medical University, Tochigi, Japan.
Yuki KataokaScientific Research Works Peer Support Group (SRWS-PSG), Osaka, Japan.ORCID 0000-0001-7982-5213

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

rationaleEarly detection of colorectal polyps using colonoscopy is important for preventing post-colonoscopy colorectal cancer (PCCRC) because a 1% increase in adenoma detection rate (ADR) is associated with a 3% decrease in PCCRC incidence. Linked color imaging (LCI) enhances color contrast compared to white-light imaging (WLI), potentially improving ADR. Existing reviews provide promising yet inconclusive findings on LCI's benefits, highlighting the need for this systematic review.

objectivesTo assess the benefits and harms of LCI compared to WLI colonoscopy in detecting colorectal polyps in people requiring colonoscopy for screening, symptoms, or surveillance. SEARCH

methodsWe searched CENTRAL, MEDLINE, Embase, ClinicalTrials.gov, and the World Health Organization International Clinical Trials Registry Platform from 2014 to 30 May 2025. We screened the reference lists of relevant review articles and current treatment guidelines to identify additional studies. We contacted the study authors in case of any missing data. ELIGIBILITY CRITERIA: We included randomized controlled trials (RCTs) comparing LCI and WLI. We excluded non-RCTs. We included adults 18 years of age and older who required colonoscopy for screening, symptom assessment, and surveillance in any healthcare setting. OUTCOMES: The critical outcomes were ADR during the study period, proportion of participants with PCCRC at next scheduled follow-up colonoscopy, and proportion of adverse events requiring medical treatment during the study period. Important outcomes were polyp detection rate and sessile serrated lesion detection rate during the study period, numbers of adenomas, polyps, and flat polyps per participant at the end of a single colonoscopy, and all adverse events during the study period. RISK OF BIAS: Two authors assessed study risk of bias using version two of the Cochrane tool for assessing risk of bias in randomized trials (RoB 2). SYNTHESIS

methodsWe synthesized results for each outcome using random-effects meta-analysis, calculating risk ratios (RRs) for dichotomous outcomes and mean differences (MDs) for continuous outcomes, each with 95% confidence intervals (CIs), using Review Manager. Where meta-analysis was not possible due to data heterogeneity or insufficient reporting, we applied the Synthesis Without Meta-analysis (SWiM) approach. We used GRADE to assess the certainty of the evidence. INCLUDED STUDIES: We included 16 trials, with 12,836 participants. Nine trials focused on screening/surveillance and seven on screening and symptomatic patients. We judged six trials as being at low risk of bias overall. SYNTHESIS OF

resultsCritical outcomes LCI slightly increases ADR compared to WLI (RR 1.18, 95% CI 1.10 to 1.28; 15 RCTs, 12,877 participants; high-certainty evidence). No study reported the proportion of participants with PCCRC. There were no adverse events requiring medical treatment (6 RCTs, 5240 participants; moderate-certainty evidence). Important outcomes LCI slightly increases polyp detection rate (RR 1.14, 95% CI 1.09 to 1.19; 12 RCTs, 11,243 participants; high-certainty evidence), and likely increases sessile serrated lesion detection rate (RR 1.61, 95% CI 1.31 to 1.98; 7 RCTs, 8605 participants; moderate-certainty evidence), and the number of adenomas per participant (MD 0.18, 95% CI 0.03 to 0.32; 11 RCTs, 10,833 participants; moderate-certainty evidence). A key limitation of the evidence was imprecision for sessile serrated lesion detection and number of adenomas per participant due to small sample sizes. Similarly, zero events were reported for adverse events requiring medical treatment, limiting precision despite adequate sample sizes. Additionally, no study reported the proportion of participants with PCCRC, further restricting our conclusions. AUTHORS'

conclusionsWe found high-certainty evidence that LCI slightly increases ADR and moderate-certainty evidence that LCI likely results in little to no difference in the proportion of adverse events requiring medical treatment; data on the proportion of participants with PCCRC are unavailable. We also found high-certainty evidence that LCI slightly improves polyp detection rate and moderate-certainty evidence that LCI likely increases sessile serrated lesion detection rate and the number of adenomas and polyps per participant. Further studies should focus on measuring clinically significant outcomes, such as the proportion of participants with PCCRC.

fundingThis study had no dedicated funding. REGISTRATION: Protocol available via DOI 10.1002/14651858.CD015476.

Indexed as

AdenomaColonic PolypsColonoscopyColorectal NeoplasmsBiasColorEarly Detection of CancerHumansRandomized Controlled Trials as Topic

Identifiers

PMID40827602
PMCPMC12362617

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.