ReviewNature reviews. Gastroenterology & hepatology2016
Role of endoscopy in early oesophageal cancer.
Review in Nature reviews. Gastroenterology & hepatology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 2 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
34 citing papers in PubMed, 2 syntheses or guidelines pooled it, 80 citations in OpenAlex.
- Artificial Intelligence-Assisted Endoscopic Diagnosis of Early Upper Gastrointestinal Cancer: A Systematic Review and Meta-Analysis.Frontiers in oncology · 2022Pooled it
- The Value of Virtual Chromoendoscopy in the Workup of Patients with Head and Neck Squamous Cell Carcinoma.Current oncology reports · 2020Pooled it
- Estimation of Cost for Endoscopic Screening for Esophageal Cancer in a High-Risk Population in Rural China: Results from a Population-Level Randomized Controlled Trial.PharmacoEconomics · 2019Trial
- Exploratory evaluation of magnetic capsule endoscopy with detachable-string for detecting esophageal lesions including early squamous cell carcinoma.Endoscopy international open · 2026Article
- Integrated metabolome and transcriptome analysis reveals ferroptosis involvement in cisplatin resistance of esophageal squamous cancer cell.Computational and structural biotechnology journal · 2026Article
- Multi-scenario photoacoustic endoscopy forPhotoacoustics · 2025Article
- The design and evaluation of the opportunistic endoscopic screening (OpENS) program for upper gastrointestinal tract cancers: a real-world study in China.The Lancet regional health. Western Pacific · 2025Article
- Attention-Enhanced Multi-Task Deep Learning Model for Classification and Segmentation of Esophageal Lesions.ACS omega · 2025Article
- The roles of exosomes in esophageal cancer.Discover oncology · 2024Review
- Multimodal analysis of cfDNA methylomes for early detecting esophageal squamous cell carcinoma and precancerous lesions.Nature communications · 2024Article
- Article
- Preventive Treatment with PD-1 Antibody Increases Tissue-resident Memory T Cells Infiltration and Delays Esophageal Carcinogenesis.Cancer prevention research (Philadelphia, Pa.) · 2023Article
- Article
- Imaging-Navigated Surgery.Advances in experimental medicine and biology · 2023Article
- Serum DSG2 as a potential biomarker for diagnosis of esophageal squamous cell carcinoma and esophagogastric junction adenocarcinoma.Bioscience reports · 2022Article
- Plasma Metabolomics Reveals Diagnostic Biomarkers and Risk Factors for Esophageal Squamous Cell Carcinoma.Frontiers in oncology · 2022Article
- Multi-Task Model for Esophageal Lesion Analysis Using Endoscopic Images: Classification with Image Retrieval and Segmentation with Attention.Sensors (Basel, Switzerland) · 2021Article
- Improved esophageal squamous cell carcinoma screening effectiveness by risk-stratified endoscopic screening: evidence from high-risk areas in China.Cancer communications (London, England) · 2021Article
- Application of artificial intelligence-driven endoscopic screening and diagnosis of gastric cancer.World journal of gastroenterology · 2021Review
- Automatic classification of esophageal disease in gastroscopic images using an efficient channel attention deep dense convolutional neural network.Biomedical optics express · 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
2 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Incidence of oesophageal adenocarcinoma has increased exponentially in the West over the past few decades. Following detection of advanced cancers, 5-year survival rates remain bleak, making identification of early neoplasia, which has a better outcome, important. Detection of subtle oesophageal lesions during endoscopy can be challenging, and advanced imaging techniques might improve their detection. High-definition endoscopy has become a standard in most endoscopy centres, and this technology probably provides better delineation of mucosal features than standard-definition endoscopy. Various image enhancement techniques are now available with the development of new electronics and software systems. Image enhancement with chromoendoscopy using dyes has been a cost-effective option for many years, yet these techniques have been replaced in some contexts by electronic chromoendoscopy, which can be used with the press of a button. However, Lugol's chromoendoscopy remains the gold standard to identify squamous dysplasia. Identification and characterization of subtle neoplastic lesions could help to target biopsies and perform endoscopic resection for better local staging and definitive therapy. In vivo histology with techniques such as confocal endomicroscopy could make endotherapy feasible within a shorter timescale than when relying on histology on tissue samples. Once early neoplasia is identified, treatments include endoscopic resection, endoscopic submucosal dissection or various ablative techniques. Endotherapy has the advantage of being a less invasive technique than oesophagectomy, and is associated with lower mortality and morbidity. Endoscopic ablation therapies have evolved over the past few years, with radiofrequency ablation showing the best results in terms of success rates and complications in Barrett dysplasia.
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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.