ReviewCancers2022
Mapping Lymph Node during Indocyanine Green Fluorescence-Imaging Guided Gastric Oncologic Surgery: Current Applications and Future Directions.
Review in Cancers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled 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.
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, 2 syntheses or guidelines pooled it.
- The role of indocyanine green in the intraoperative navigation of gastric cancer surgery: a systematic review and meta-analysis.BMC cancer · 2025Pooled it
- Comparing ICG-Guided vs. Conventional Laparoscopic Lymphadenectomy in Gastric Cancer: A Systematic Review and Meta-Analysis.Journal of gastrointestinal cancer · 2025Pooled it
- Comparison of a submucosal and subserosal approach in ICG-guided laparoscopic lymphadenectomy in gastric cancer patients: long-term outcomes of a phase 3 randomized clinical trial.International journal of surgery (London, England) · 2025Trial
- A Novel Fluorescence-Triggered Auditory Feedback Photosensor for Precision Lymph Node Mapping.Sensors (Basel, Switzerland) · 2026Article
- Editorial: Recent Advances in Gastrointestinal Cancers: From Microbiota Modulation to New Therapeutic Approaches.Biomedicines · 2025Article
- Lysosomal Cathepsin S Escape Facilitates Near Infrared Light-Triggered Pyroptosis Via an Antibody-Indocyanine Green Conjugate.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Indocyanine green and near-infrared fluorescence-guided surgery for gastric cancer: a narrative review.Journal of minimally invasive surgery · 2024Review
- Current status and future trends of real-time imaging in gastric cancer surgery: A literature review.Heliyon · 2024Review
- Use of indocyanine green near-infrared lymphography to detect sentinel lymph nodes in a dog with a malignant insulinoma: a case report.Frontiers in veterinary science · 2023Article
- Advances in surgical techniques for gastric cancer: Indocyanine green and near-infrared fluorescence imaging. Is it ready for prime time?Chinese journal of cancer research = Chung-kuo yen cheng yen chiu · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
Abstract
Huge strides have been made in the navigation of gastric cancer surgery thanks to the improvement of intraoperative techniques. For now, the use of indocyanine green (ICG) enhanced fluorescence imaging has received promising results in detecting sentinel lymph nodes (SLNs) and tracing lymphatic drainages, which make it applicable for limited and precise lymphadenectomy. Nevertheless, issues of the lack of specificity and unpredictable false-negative lymph nodes were encountered in gastric oncologic surgery practice using ICG-enhanced fluorescence imaging (ICG-FI), which restrict its application. Here, we reviewed the current application of ICG-FI and assessed potential approaches to improving ICG-FI.
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.