Evidence map›Paper›PMID 35261944›Full record

ReviewAnnals of gastroenterological surgery2022

Essential updates 2020/2021: Current topics of simulation and navigation in hepatectomy.

Yu Saito, Mitsuo Shimada, Yuji Morine, Shinichiro Yamada, Maki Sugimoto

Open access · goldAbstract readReview
In one paragraph

Review in Annals of gastroenterological surgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

11 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
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  7. Comment on "Surgical Margin of Resected Colorectal Liver Metastases: How Accurate Is Surgeon Prediction?"Annals of surgery open : perspectives of surgical history, education, and clinical approaches · 2024
    Article
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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

5 authors at 2 institutions in 1 country.

Yu SaitoDepartment of Surgery Tokushima University Tokushima Japan.ORCID https://orcid.org/0000-0001-6349-1669
Mitsuo ShimadaDepartment of Surgery Tokushima University Tokushima Japan.
Yuji MorineDepartment of Surgery Tokushima University Tokushima Japan.ORCID https://orcid.org/0000-0002-5889-9288
Shinichiro YamadaDepartment of Surgery Tokushima University Tokushima Japan.ORCID https://orcid.org/0000-0003-3847-751X
Maki SugimotoDepartment of Surgery Tokushima University Tokushima Japan.
Tokushima University · JPTeikyo University of Science · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the development of three-dimensional (3D) simulation software, preoperative simulation technology is almost completely established. The remaining issue is how to recognize anatomy three-dimensionally. Extended reality is a newly developed technology with several merits for surgical application: no requirement for a sterilized display monitor, better spatial awareness, and the ability to share 3D images among all surgeons. Various technology or devices for intraoperative navigation have also been developed to support the safety and certainty of liver surgery. Consensus recommendations regarding indocyanine green fluorescence were determined in 2021. Extended reality has also been applied to intraoperative navigation, and artificial intelligence (AI) is one of the topics of real-time navigation. AI might overcome the problem of liver deformity with automatic registration. Including the issues described above, this article focuses on recent advances in simulation and navigation in liver surgery from 2020 to 2021.

Indexed as

artificial intelligenceextended realityICG fluorescenceliver surgerynavigationsimulation

Identifiers

PMID35261944
PMCPMC8889864
OpenAlexW4200136664

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.