Evidence map›Paper›PMID 32054460›Full record

ArticleBMC surgery2020

Individualized procedures for splenic artery dissection during laparoscopic distal pancreatectomy.

Yusuke Wada, Takeshi Aoki, Masahiko Murakami, Akira Fujimori, Tomotake Koizumi, Tomokazu Kusano, Kazuhiro Matsuda, Koji Nogaki, Tomoki Hakozaki, Hideki Shibata and 1 more

Abstract read
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In one paragraph

Article in BMC surgery, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Anatomy of the splenic artery: what does the surgeon need to know?Revista do Colegio Brasileiro de Cirurgioes · 2022
    Article
  5. 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

11 authors.

Yusuke WadaDivision of Gastroenterological Surgery and General Surgery, Department of Surgery, School of Medicine, Showa University, 1-5-8, Hatanodai, Shinagawa-ku, Tokyo, Japan. youyou@med.showa-u.ac.jp.ORCID http://orcid.org/0000-0002-6900-1357
Takeshi AokiDivision of Gastroenterological Surgery and General Surgery, Department of Surgery, School of Medicine, Showa University, 1-5-8, Hatanodai, Shinagawa-ku, Tokyo, Japan.
Masahiko MurakamiDivision of Gastroenterological Surgery and General Surgery, Department of Surgery, School of Medicine, Showa University, 1-5-8, Hatanodai, Shinagawa-ku, Tokyo, Japan.
Akira FujimoriDivision of Gastroenterological Surgery and General Surgery, Department of Surgery, School of Medicine, Showa University, 1-5-8, Hatanodai, Shinagawa-ku, Tokyo, Japan.
Tomotake KoizumiDivision of Gastroenterological Surgery and General Surgery, Department of Surgery, School of Medicine, Showa University, 1-5-8, Hatanodai, Shinagawa-ku, Tokyo, Japan.
Tomokazu KusanoDivision of Gastroenterological Surgery and General Surgery, Department of Surgery, School of Medicine, Showa University, 1-5-8, Hatanodai, Shinagawa-ku, Tokyo, Japan.
Kazuhiro MatsudaDivision of Gastroenterological Surgery and General Surgery, Department of Surgery, School of Medicine, Showa University, 1-5-8, Hatanodai, Shinagawa-ku, Tokyo, Japan.
Koji NogakiDivision of Gastroenterological Surgery and General Surgery, Department of Surgery, School of Medicine, Showa University, 1-5-8, Hatanodai, Shinagawa-ku, Tokyo, Japan.
Tomoki HakozakiDivision of Gastroenterological Surgery and General Surgery, Department of Surgery, School of Medicine, Showa University, 1-5-8, Hatanodai, Shinagawa-ku, Tokyo, Japan.
Hideki ShibataDivision of Gastroenterological Surgery and General Surgery, Department of Surgery, School of Medicine, Showa University, 1-5-8, Hatanodai, Shinagawa-ku, Tokyo, Japan.
Kodai TomiokaDivision of Gastroenterological Surgery and General Surgery, Department of Surgery, School of Medicine, Showa University, 1-5-8, Hatanodai, Shinagawa-ku, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere are no established standard criteria for choosing the most appropriate procedure of splenic artery dissection during laparoscopic distal pancreatectomy (LDP). The aim of this study was to evaluate the clinical benefits of individualized procedures for splenic artery dissection during LDP based on the variations in arterial structure visualized on preoperative three-dimensional computed tomography (3D-CT).

methodsPatients who underwent LDP following 3D-CT at a single center were retrospectively evaluated. 3D-CT images were used to construct virtual 3D laparoscopic images for surgical planning. The splenic artery was classified into two major anatomic types: type S that curves and runs suprapancreatic and type D that runs straight and dorsal to the pancreas. Splenic artery dissection was planned according to these two variations, with type S dissected using an suprapancreatic approach and type D using a dorsal approach.

resultsType-specific dissection was applied for 30 patients: 25 (83%) with type S and 5 (17%) with type D splenic artery anatomies. In 25 (83%) patients, the splenic artery was successfully dissected using the planned surgical procedure, whereas the surgical plan had to be altered in 5 cases (17%) due to difficulty in dissecting the splenic artery.

conclusionThe individualized procedures for splenic artery dissection according to anatomic variations visualized on 3D-CT images can help improve the success and safety of LDP.

Indexed as

AdultAgedAged, 80 and overDissectionFemaleHumansImaging, Three-DimensionalLaparoscopyMaleMiddle AgedPancreasPancreatectomyRetrospective StudiesSplenic ArteryTomography, X-Ray ComputedYoung AdultIndividual prodedureLaparoscopic distal pancreatectomySplenic arteryThree-dimensional imaging

Identifiers

PMID32054460
PMCPMC7017478

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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.