ArticleClinical endoscopy2021
Current Status of Image-Enhanced Endoscopy for Early Identification of Esophageal Neoplasms.
Article in Clinical endoscopy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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.
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
10 citing papers in PubMed, 13 citations in OpenAlex.
- Early esophageal squamous neoplasia and the microbiome: evidence, mechanisms, and early-detection potential.Frontiers in microbiology · 2026Review
- Advances in gastrointestinal endoscopy: A comprehensive review of innovations in cancer diagnosis and management.World journal of gastrointestinal endoscopy · 2025Review
- Current status and perspectives of esophageal cancer: a comprehensive review.Cancer communications (London, England) · 2025Review
- Image-enhanced endoscopy in upper gastrointestinal disease: focusing on texture and color enhancement imaging and red dichromatic imaging.Clinical endoscopy · 2025Review
- Advanced Endoscopic Techniques to Detect Prevalence of Synchronous Oesophageal Cancers in Patients with Head and Neck Cancers.Indian journal of otolaryngology and head and neck surgery : official publication of the Association of Otolaryngologists of India · 2024Article
- An umbrella-inspired snap-on robotic 3D photoacoustic endoscopic probe for augmented intragastric sensing: Proof of concept study.Photoacoustics · 2024Article
- Role of linked color imaging for upper gastrointestinal disease: present and future.Clinical endoscopy · 2023Review
- Magnifying Endoscopy with Narrow-Band Imaging for Duodenal Neuroendocrine Tumors.Journal of clinical medicine · 2023Article
- Biomarkers for Early Detection, Prognosis, and Therapeutics of Esophageal Cancers.International journal of molecular sciences · 2023Review
- Evaluating the diagnostic value of double-balloon enteroscopy combined with endoscopic ultrasonography for primary small intestinal lymphoma.Therapeutic advances in gastrointestinal endoscopyArticle
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 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Advanced esophageal cancer is known to have a poor prognosis. The early detection of esophageal neoplasms, including esophageal dysplasia and early esophageal cancer, is highly important for the accurate treatment of the disease. However, esophageal dysplasia and early esophageal cancer are usually subtle and can be easily missed. In addition to the early detection, proper pretreatment evaluation of the depth of invasion of esophageal cancer is very important for curative treatment. The progression of non-invasive diagnosis via image-enhanced endoscopy techniques has been shown to aid the early detection and estimate the depth of invasion of early esophageal cancer and, as a result, may provide additional opportunities for curative treatment. Here, we review the advancement of image-enhanced endoscopy-related technologies and their role in the early identification of esophageal neoplasms.
Indexed as
Identifiers
What OpenQuestion holds
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.