Evidence map›Paper›PMID 36354712›Full record

ArticleCurrent oncology (Toronto, Ont.)2022

Is Laparoscopic Hepatectomy Safe for Giant Liver Tumors? Proposal from a Single Institution for Totally Laparoscopic Hemihepatectomy Using an Anterior Approach for Giant Liver Tumors Larger Than 10 cm in Diameter.

Hiroyuki Nitta, Akira Sasaki, Hirokatsu Katagiri, Shoji Kanno, Akira Umemura

Open access · goldAbstract read
In one paragraph

Article in Current oncology (Toronto, Ont.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

7 citing papers in PubMed, 10 citations in OpenAlex.

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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 1 institution in 1 country.

Hiroyuki NittaDepartment of Surgery, Iwate Medical University School of Medicine, Morioka 028-3695, Japan.ORCID 0000-0003-1606-4773
Akira SasakiDepartment of Surgery, Iwate Medical University School of Medicine, Morioka 028-3695, Japan.
Hirokatsu KatagiriDepartment of Surgery, Iwate Medical University School of Medicine, Morioka 028-3695, Japan.
Shoji KannoDepartment of Surgery, Iwate Medical University School of Medicine, Morioka 028-3695, Japan.
Akira UmemuraDepartment of Surgery, Iwate Medical University School of Medicine, Morioka 028-3695, Japan.ORCID 0000-0003-4181-7159
Iwate Medical University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe efficacy and safety of laparoscopic liver resections for liver tumors that are larger than 10 cm remain unclear. We developed a safe laparoscopic right hemihepatectomy for giant liver tumors using an anterior approach.

methodsEighty patients who underwent laparoscopic hemihepatectomy between January 2011 and December 2021 were divided into a nongiant tumor group (

resultsThe median operating time, amount of blood loss, and length of postoperative hospital stay did not differ significantly between the nongiant and giant tumor groups. The sizes of the tumors and weights of the resected liver were significantly larger in the giant tumor group. A comparison between a nongiant group (

conclusionsLaparoscopic hemihepatectomy, especially that performed on the right side, for giant tumors larger than 10 cm can be performed safely. Surgical techniques for giant liver tumors have been standardized, and their application is expected to spread widely in the future.

Indexed as

LaparoscopyLiver NeoplasmsHepatectomyHumansLength of StayPostoperative Periodanterior approachgiant liver tumorlaparoscopic hepatectomy

Identifiers

PMID36354712
PMCPMC9689527
OpenAlexW4308119346

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.