Evidence map›Paper›PMID 31258649›Full record

ArticleExperimental and therapeutic medicine2019

Comparison of the detection of colorectal lesions in different endoscopic modalities: A network meta-analysis and systematic review.

Lifu Li, Yinghua Ou, Hui Yue, Hong Sun, Peisheng Chen, Suying Liu, Fengjian He, Qianqian Peng, Sanhua Deng

Open access · diamondAbstract read
In one paragraph

Article in Experimental and therapeutic medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 27% of its field
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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Advances in laboratory medicine · 2024
    Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Electronic chromo-endoscopy: technical details and a clinical perspective.Translational gastroenterology and hepatology · 2022
    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

9 authors at 2 institutions in 1 country.

Lifu LiDepartment of Gastroenterology, The Third Affiliated Hospital of Southern Medical University, Guangzhou, Guangdong 510000, P.R. China.
Yinghua OuDepartment of Gastroenterology, The Third Affiliated Hospital of Southern Medical University, Guangzhou, Guangdong 510000, P.R. China.
Hui YueDepartment of Gastroenterology, The Third Affiliated Hospital of Southern Medical University, Guangzhou, Guangdong 510000, P.R. China.
Hong SunDepartment of Gastroenterology, Nanfang Hospital, Guangzhou, Guangdong 510000, P.R. China.
Peisheng ChenDepartment of Gastroenterology, The Third Affiliated Hospital of Southern Medical University, Guangzhou, Guangdong 510000, P.R. China.
Suying LiuDepartment of Gastroenterology, The Third Affiliated Hospital of Southern Medical University, Guangzhou, Guangdong 510000, P.R. China.
Fengjian HeDepartment of Gastroenterology, The Third Affiliated Hospital of Southern Medical University, Guangzhou, Guangdong 510000, P.R. China.
Qianqian PengDepartment of Gastroenterology, The Third Affiliated Hospital of Southern Medical University, Guangzhou, Guangdong 510000, P.R. China.
Sanhua DengDepartment of Gastroenterology, The Third Affiliated Hospital of Southern Medical University, Guangzhou, Guangdong 510000, P.R. China.
Third Affiliated Hospital of Southern Medical University · CNNanfang Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A colonoscopy is considered to be the standard diagnostic test used to detect early colorectal lesions. Detection rates are expected to improve with optimised visualisation. A systematic review and network meta-analysis was conducted to evaluate detection efficiency in several colonoscopic modalities. Relevant articles were identified in searches of the PubMed, EMBASE and Cochrane Library databases. The modalities, comprising of standard-definition white light (SDWL), high-definition white light (HDWL), narrow-band imaging (NBI), autofluorescence imaging (AFI), PENTAX image enhanced technology (i-SCAN), Fuji Intelligent Color Enhancement (FICE), dye-based chromoendoscopy and novel image enhanced systems, including blue laser imaging (BLI) and linked color imaging (LCI), were compared to identify the most efficient modalities that could be used to detect colorectal lesions. Odds ratios (ORs) and mean differences (MDs) with 95% confidence intervals (CIs) were calculated. As a result, 40 studies fulfilled the inclusion criteria. Overall, in the network meta-analyses, NBI (OR, 1.29; 95% CI, 1.04-1.58), FICE (OR, 1.39; 95% CI, 1.11-1.77), chromoendoscopy (OR, 1.53; 95% CI, 1.22-1.93) and AFI (OR, 1.81; 95% CI, 1.07-2.87) were significantly better compared with SDWL at identifying adenoma in patients, and chromoendoscopy also proved significantly superior to HDWL (OR, 1.30; 95% CI, 1.06-1.60). In pairwise analyses, it was demonstrated that chromoendoscopy was significantly superior to HDWL at detecting the number of polyps (MD, -1.11; 95% CI, -1.46, -0.76) and flat lesions (MD, -0.30; 95% CI, -0.49, -0.10) per subject. Additionally, FICE detected a significantly greater number of subjects with polyps (OR, 0.78; 95% CI, 0.64-0.96) and NBI was significantly better at detecting the number of subjects with flat lesions (OR, 0.77; 95% CI, 0.60-0.99) compared with HDWL. Based on the meta-analysis, NBI, FICE and AFI were significantly better compared with SDWL at detecting patients with adenoma. Additionally, chromoendoscopy was significantly better than SDWL and HDWL at detecting the number of colorectal adenoma, however additional studies are needed to confirm these findings.

Indexed as

colonoscopycolorectal lesionsdetection rateefficiencyendoscopic modalities

Identifiers

PMID31258649
PMCPMC6566047
OpenAlexW2943288193

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.