Evidence map›Paper›PMID 30275750›Full record

ArticleYonago acta medica2018

Less Invasive Surgery for Remnant Stomach Cancer After Esophago-proximal Gastrectomy with ICG-guided Blood Flow Evaluation: A Case Report.

Wataru Miyauchi, Yuji Shishido, Yusuke Kono, Yuki Murakami, Hirohiko Kuroda, Yoji Fukumoto, Tomohiro Osaki, Teruhisa Sakamoto, Soichiro Honjo, Keigo Ashida and 2 more

Open access · diamondAbstract read
In one paragraph

Article in Yonago acta medica, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.3field-weighted citation impact, top 18% of its field
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

9 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Fluorescence Image-Based Evaluation of Gastric Tube Perfusion during Esophagogastrostomy.The Korean journal of thoracic and cardiovascular surgery · 2020
    Article
  8. Article
  9. Article
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

12 authors at 1 institution in 1 country.

Wataru MiyauchiDivision of Surgical Oncology, Department of Surgery, School of Medicine, Tottori University Faculty of Medicine, Yonago 683-8503, Japan.
Yuji ShishidoDivision of Surgical Oncology, Department of Surgery, School of Medicine, Tottori University Faculty of Medicine, Yonago 683-8503, Japan.
Yusuke KonoDivision of Surgical Oncology, Department of Surgery, School of Medicine, Tottori University Faculty of Medicine, Yonago 683-8503, Japan.
Yuki MurakamiDivision of Surgical Oncology, Department of Surgery, School of Medicine, Tottori University Faculty of Medicine, Yonago 683-8503, Japan.
Hirohiko KurodaDivision of Surgical Oncology, Department of Surgery, School of Medicine, Tottori University Faculty of Medicine, Yonago 683-8503, Japan.
Yoji FukumotoDivision of Surgical Oncology, Department of Surgery, School of Medicine, Tottori University Faculty of Medicine, Yonago 683-8503, Japan.
Tomohiro OsakiDivision of Surgical Oncology, Department of Surgery, School of Medicine, Tottori University Faculty of Medicine, Yonago 683-8503, Japan.
Teruhisa SakamotoDivision of Surgical Oncology, Department of Surgery, School of Medicine, Tottori University Faculty of Medicine, Yonago 683-8503, Japan.
Soichiro HonjoDivision of Surgical Oncology, Department of Surgery, School of Medicine, Tottori University Faculty of Medicine, Yonago 683-8503, Japan.
Keigo AshidaDivision of Surgical Oncology, Department of Surgery, School of Medicine, Tottori University Faculty of Medicine, Yonago 683-8503, Japan.
Hiroaki SaitoDivision of Surgical Oncology, Department of Surgery, School of Medicine, Tottori University Faculty of Medicine, Yonago 683-8503, Japan.
Yoshiyuki FujiwaraDivision of Surgical Oncology, Department of Surgery, School of Medicine, Tottori University Faculty of Medicine, Yonago 683-8503, Japan.
Tottori University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The standard procedure for remnant gastric cancer after esophago-proximal gastrectomy is total resection of the remnant stomach considering blood supply. However, sometimes surgery may be too invasive due to severe adhesion in the thoracic and mediastinal cavity. The blood supply to the remnant stomach depends on the right gastroepiploic artery and the right gastric artery. Therefore, preservation of the proximal region of the remnant stomach is thought to be anatomically impossible. We report a case of remnant gastric cancer that developed more than 12 years after lower thoracic esophagectomy plus proximal gastrectomy for Siewert Type I squamous cell carcinoma. We used intra-operative indocyanine green (ICG) venous-injection to evaluate blood flow and distal gastrectomy of the remnant stomach was performed by preserving the proximal stomach in the thoracic cavity through an abdominal approach. There were no complications of the remnant stomach or the anastomosis to the jejunum after surgery. In this case, we focused on the blood supply by collateral circulation through the anastomotic line from the remnant esophagus. After confirming blood supply with intra-operative evaluation using ICG fluorescence, less-invasive distal gastrectomy was successfully performed. As the intra-operative ICG-based evaluation for blood supply is a simple and safe method, it might be useful for determining the resection margin of various organs and be effective for the introduction of less invasive surgery. Here, we report a case and a review of the literature.

Indexed as

blood-flow evaluationesophageal carcinomaindocyanine greenintra-operativeremnant gastric cancer

Identifiers

PMID30275750
PMCPMC6158354
OpenAlexW2921237709

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.