Evidence map›Paper›PMID 35658273›Full record

ArticleInternational journal of surgery case reports2022

Successful robotic proximal gastrectomy with side overlap esophagogastrostomy following preoperative chemotherapy: A case report.

Kazuaki Tanabe, Yoshihiko Saeki, Hiroshi Ohta, Hideki Ohdan

Open access · goldAbstract read
In one paragraph

Article in International journal of surgery case reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

4 authors at 1 institution in 1 country.

Kazuaki TanabeDepartment of Perioperative and Critical Care Management, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3, Kasumi, Minami-ku, Hiroshima 734-8551, Japan. Electronic address: ktanabe2@hiroshima-u.ac.jp.
Yoshihiko SaekiDepartment of Department of Gastroenterological and Transplant Surgery, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3, Kasumi, Minami-ku, Hiroshima 734-8551, Japan.
Hiroshi OhtaDepartment of Department of Gastroenterological and Transplant Surgery, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3, Kasumi, Minami-ku, Hiroshima 734-8551, Japan.
Hideki OhdanDepartment of Department of Gastroenterological and Transplant Surgery, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3, Kasumi, Minami-ku, Hiroshima 734-8551, Japan.
Hiroshima University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introduction and importanceAdenocarcinoma of the esophagogastric junction (AEJ) has been on the rise in recent years, but the technical aspects of reconstruction and reflux prevention are unsolved problems. This case report aimed to illustrate the usefulness of preoperative chemotherapy for tumor shrinkage and the advantage of robotic surgery for stable reconstruction with reflux prevention. CASE PRESENTATION: A 69-year-old male patient was diagnosed with AEJ cT3N0M0 cStage IIB. Three courses of doublet chemotherapy with 80 mg/m CLINICAL DISCUSSION: Preoperative chemotherapy is expected to improve the rates of complete resection and survival. In the present case, preoperative treatment with SOX resulted in tumor shrinkage, which enabled reconstruction using the mSOFY method. Robotic surgery may be useful for such complex reconstruction procedures.

conclusionTo our knowledge, this is the first report of robotic reconstruction using the mSOFY method after proximal gastrectomy for AEG tumors. This work was reported in line with the SCARE 2020 criteria.

Indexed as

Preoperative chemotherapyProximal gastrectomyRobotic surgery

Identifiers

PMID35658273
PMCPMC9171439
OpenAlexW4223934019

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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.