Evidence map›Paper›PMID 38558607›Full record

ReviewCureus2024

Factors Affecting the Efficiency of Near-Infrared Indocyanine Green (NIR/ICG) in Lymphatic Mapping for Colorectal Cancer: A Systematic Review.

Irina Shevchenko, Dragos Serban, Ana Maria Dascalu, Laura Tribus, Catalin Alius, Bogdan Mihai Cristea, Andra Iulia Suceveanu, Daniel Voiculescu, Dan Dumitrescu, Florin Bobirca and 3 more

Abstract readReview
In one paragraph

Review in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Article
  4. Review
  5. Article
  6. Review
  7. 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

13 authors.

Irina ShevchenkoSurgery, Faculty of Medicine, Carol Davila University of Medicine and Pharmacy, Bucharest, ROU.
Dragos SerbanSurgery, Faculty of Medicine, Carol Davila University of Medicine and Pharmacy, Bucharest, ROU.
Ana Maria DascaluOphthalmology, Faculty of Medicine, Carol Davila University of Medicine and Pharmacy, Bucharest, ROU.
Laura TribusGastroenterology, Faculty of Oral Medicine, Carol Davila University of Medicine and Pharmacy, Bucharest, ROU.
Catalin AliusSurgery, Faculty of Medicine, Carol Davila University of Medicine and Pharmacy, Bucharest, ROU.
Bogdan Mihai CristeaAnatomy, Faculty of Medicine, Carol Davila University of Medicine and Pharmacy, Bucharest, ROU.
Andra Iulia SuceveanuGastroenterology, Faculty of Medicine, Ovidius University of Constanta, Constanta, ROU.
Daniel VoiculescuSurgery, Faculty of Medicine, Carol Davila University of Medicine and Pharmacy, Bucharest, ROU.
Dan DumitrescuSurgery, Faculty of Medicine, Carol Davila University of Medicine and Pharmacy, Bucharest, ROU.
Florin BobircaSurgery, Faculty of Medicine, Carol Davila University of Medicine and Pharmacy, Bucharest, ROU.
Adrian Paul SuceveanuMedicine, Faculty of Medicine, Ovidius University of Constanta, Constanta, ROU.
Dragos Eugen GeorgescuSurgery, Faculty of Medicine, Carol Davila University of Medicine and Pharmacy, Bucharest, ROU.
Crenguta Sorina SerboiuRadiology, Faculty of Medicine, Carol Davila University of Medicine and Pharmacy, Bucharest, ROU.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As laparoscopy gained global popularity in oncologic surgery, the challenge of detecting lymph nodes spurred researchers to explore innovative techniques and approach the situation from a fresh perspective. While many proposed methods have faded into obscurity, the utilization of indocyanine green (ICG) in the surgical treatment of oncologic patients has continued to advance. The immense potential of this dye is widely acknowledged, yet its full extent and limitations in lymphatic mapping for colorectal cancer remain to be precisely determined. This article aims to assess the magnitude of its potential and explore the constraints based on insights from clinical studies published by pioneering researchers. A systematic review of the existing literature, comprising articles in English, was conducted using the Scopus, PubMed, and Springer Link databases. The search employed keywords such as "colorectal cancer" AND/OR "indocyanine green," "fluorescence" AND/OR "lymphatic mapping" AND/OR "lymph nodes." Initially identifying 129 articles, the application of selection criteria narrowed down the pool to 10 articles, which served as the primary sources of data for our review. Despite the absence of a standardized protocol for the application of ICG in colorectal cancer, particularly in the context of lymphatic mapping, the detection rates have exhibited considerable variation across studies. Nevertheless, all authors unanimously regarded this technique as beneficial and promising. Additionally, it is advocated as an adjunctive tool to enhance the accuracy of cancer staging. Near-infrared (NIR)-enhanced surgery holds the promise of transforming the landscape of oncologic surgery, emerging as a valuable tool for surgeons. However, the absence of a standardized technique and the subjective nature of result assessment impose limitations on the potential of this method. Consequently, it can be inferred that the establishment of a universally accepted protocol, encompassing parameters such as dose, concentration, technique, and site of administration of ICG, along with the optimal time needed for fluorescence visualization, would enhance the outcomes. Emphasizing the accurate selection of patients is crucial to prevent the occurrence of false-negative results.

Indexed as

colorectal cancerindocyanine greenintraoperative dissectionlymphatic mappingnear infrared fluorescencepredictive factors

Identifiers

PMID38558607
PMCPMC10981778

What OpenQuestion holds

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Registered trials

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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.