SynthesisWorld journal of gastroenterology2015
Diagnostic performance of magnifying narrow-band imaging for early gastric cancer: A meta-analysis.
Synthesis in World journal of gastroenterology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 3 of them syntheses that pooled it.
What it found
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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.
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.
Who cites it
30 citing papers in PubMed, 3 syntheses or guidelines pooled it, 48 citations in OpenAlex.
- Short-term outcomes of traction-assisted versus conventional endoscopic submucosal dissection for superficial gastrointestinal neoplasms: a systematic review and meta-analysis of randomized controlled studies.World journal of surgical oncology · 2019Pooled it
- Pooled it
- The value of narrow band imaging in diagnosis of head and neck cancer: a meta-analysis.Scientific reports · 2018Pooled it
- Trial
- Innovations in Advanced Endoscopic Resection of Early Upper Gastrointestinal Cancer.Journal of clinical medicine · 2026Review
- Recent advances, comparative performance, and data requirements of artificial intelligence-assisted technologies for the diagnosis of gastric cancer.Frontiers in gastroenterology (Lausanne, Switzerland) · 2026Review
- Endoscopic and histopathological phenotypes of early gastric neoplasia: toward an integrative host-response framework.Frontiers in oncology · 2026Review
- Diagnostic performance of white light endoscopy, narrow band imaging, and flexible spectral imaging color enhancement for early gastric cancer: a systematic review and meta-analysis.Quantitative imaging in medicine and surgery · 2025Article
- The West Catching Up With the East: High-Magnification NBI Is Accurate for the Diagnosis of Gastric Neoplasia in a Western Population.Journal of gastroenterology and hepatology · 2025Article
- Evaluating stiffness of gastric wall using laser resonance frequency analysis for gastric cancer.Cancer science · 2025Article
- A novel color-aided system for diagnosis of early gastric cancer using magnifying endoscopy with narrow-band imaging.Surgical endoscopy · 2024Article
- Shedding a new light on gastric cancer screening.United European gastroenterology journal · 2024Article
- Endoscopic Resection of Malignancies in the Upper GI Tract: A Clinical Algorithm.Visceral medicine · 2024Review
- L-Menthol for Color Difference Change Between Early Gastric Cancer and Surrounding Mucosa: A Prospective Study.Digestive diseases and sciences · 2024Article
- Toward next-generation endoscopes integrating biomimetic video systems, nonlinear optical microscopy, and deep learning.Biophysics reviews · 2023Review
- Endoscopic Imaging for the Diagnosis of Neoplastic and Pre-Neoplastic Conditions of the Stomach.Cancers · 2023Review
- A novel intelligent chromo capsule endoscope for the diagnosis of neoplastic lesions in the gastrointestinal tract.Gastroenterology report · 2023Article
- Hesitate between confocal laser endomicroscopy and narrow-band imaging: how to choose a better method in the detection of focal precancerous state of gastric cancer.American journal of translational research · 2022Review
- Endoscopic diagnosis and treatment of gastric dysplasia and early cancer: Current evidence and what the future may hold.World journal of gastroenterology · 2021Review
- Application of Current Image-Enhanced Endoscopy in Gastric Diseases.Clinical endoscopy · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimTo investigate the performance of magnifying endoscopy with narrow-band imaging (ME-NBI) in the diagnosis of early gastric cancer (EGC).
methodsSystematic literature searches were conducted until February 2014 in PubMed, EMBASE, Web of Science, Ovid, Scopus and the Cochrane Library databases by two independent reviewers. Meta-analysis was performed to calculate the pooled sensitivity, specificity and diagnostic odds ratio and to construct a summary receiver operating characteristic (ROC) curve. Subgroup analyses were performed based on the morphology type of lesions, diagnostic standard, the size of lesions, type of assessment, country and sample size to explore possible sources of heterogeneity. A Deeks' asymmetry test was used to evaluate the publication bias.
resultsFourteen studies enrolling 2171 patients were included. The pooled sensitivity, specificity and diagnostic odds ratio for ME-NBI diagnosis of EGC were 0.86 (95%CI: 0.83-0.89), 0.96 (95%CI: 0.95-0.97) and 102.75 (95%CI: 48.14-219.32), respectively, with the area under ROC curve being 0.9623. Among the 14 studies, six also evaluated the diagnostic value of conventional white-light imaging, with a sensitivity of 0.57 (95%CI: 0.50-0.64) and a specificity of 0.79 (95%CI: 0.76-0.81). When using "VS" (vessel plus surface) ME-NBI diagnostic systems in gastric lesions of depressed macroscopic type, the pooled sensitivity and specificity were 0.64 (95%CI: 0.52-0.75) and 0.96 (95%CI: 0.95-0.98). For the lesions with a diameter less than 10 mm, the sensitivity and specificity were 0.74 (95%CI: 0.65-0.82) and 0.98 (95%CI: 0.97-0.98).
conclusionME-NBI is a promising endoscopic tool in the diagnosis of early gastric cancer and might be helpful in further target biopsy.
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Registered trials
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.