Evidence map›Paper›PMID 36158368›Full record

ArticleCureus2022

Novel Liver Parenchymal Transection Technique Using Saline-linked Monopolar Cautery Scissors (SLiC-Scissors) in Robotic Liver Resection.

Takahisa Fujikawa, Yusuke Uemoto, Taisuke Matsuoka, Masatoshi Kajiwara

Abstract read
In one paragraph

Article in Cureus, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Evolution of Robotic-Assisted Hepatobiliary Surgery.Bioengineering (Basel, Switzerland) · 2025
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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

4 authors.

Takahisa FujikawaSurgery, Kokura Memorial Hospital, Kitakyushu, JPN.
Yusuke UemotoSurgery, Kokura Memorial Hospital, Kitakyushu, Fukuoka, JPN.
Taisuke MatsuokaSurgery, Kokura Memorial Hospital, Kitakyushu, JPN.
Masatoshi KajiwaraGastroenterological Surgery, Faculty of Medicine, Fukuoka University, Fukuoka, JPN.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction Although there are a number of benefits to using robotics in liver surgery over conventional open and laparoscopic approaches, liver parenchymal transection is still the most difficult aspect of robotic liver resection (RLR) due to the limitations of the currently available robotic instruments and the lack of a standardized method. Methods We present a novel method for transecting the liver parenchyma during RLR employing saline-linked monopolar cautery (SLiC) scissors (SLiC-Scissors method). Between September 2021 and April 2022, 10 RLRs were performed utilizing the SLiC-Scissors method for both anatomical and non-anatomical liver resections. We assessed the short-term results, as well as the safety and practicality of our robotic liver parenchymal transection technique. Results Six of the 10 patients had malignant liver tumors, and four of them had liver metastases from colorectal cancer. Except for S1, the target lesions were present everywhere, and their median size was 25 mm (14-43 mm). The median amount of intraoperative bleeding was 5 mL (5-30 mL), and the median operative and console times were 223 and 134 min, respectively. There were no conversions to open liver resections. The median length of the postoperative stay was seven (4-13) days, and there were no serious postoperative complications or mortality. Conclusions The SLiC-Scissors method is a safe and practical procedure for liver parenchymal transection in RLR. In order to standardize and broadly implement RLR into normal patient treatment, this unique approach enables an advanced, locally controlled preparation of intrahepatic vessels and bile ducts.

Indexed as

hepatocellular carcinomaliver metastasisliver parenchymal transectionliver surgeryrobotic liver resection

Identifiers

PMID36158368
PMCPMC9484006

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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.