Evidence map›Paper›PMID 42547630›Full record

ArticleSurgical endoscopy2026

Impact of robotic approach on total operating room time and surgical workflow in minimally invasive liver resection (TAKUMI-8).

Tomokazu Fuji, Kosei Takagi, Kazuya Yasui, Takeyoshi Nishiyama, Jiro Kimura, Naohiro Okada, Toshiyoshi Fujiwara

Abstract readComparative Study
In one paragraph

Article in Surgical endoscopy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
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.

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

7 authors.

Tomokazu FujiDepartment of Gastroenterological Surgery, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, 2-5-1 Shikata-Cho, Kita-Ku, Okayama, 700-8558, Japan.
Kosei TakagiDepartment of Gastroenterological Surgery, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, 2-5-1 Shikata-Cho, Kita-Ku, Okayama, 700-8558, Japan. kotakagi15@gmail.com.ORCID http://orcid.org/0000-0003-2267-2441
Kazuya YasuiDepartment of Gastroenterological Surgery, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, 2-5-1 Shikata-Cho, Kita-Ku, Okayama, 700-8558, Japan.
Takeyoshi NishiyamaDepartment of Gastroenterological Surgery, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, 2-5-1 Shikata-Cho, Kita-Ku, Okayama, 700-8558, Japan.
Jiro KimuraDepartment of Gastroenterological Surgery, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, 2-5-1 Shikata-Cho, Kita-Ku, Okayama, 700-8558, Japan.
Naohiro OkadaDepartment of Gastroenterological Surgery, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, 2-5-1 Shikata-Cho, Kita-Ku, Okayama, 700-8558, Japan.
Toshiyoshi FujiwaraDepartment of Gastroenterological Surgery, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, 2-5-1 Shikata-Cho, Kita-Ku, Okayama, 700-8558, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe adoption of minimally invasive liver resection (MILR) is increasing globally; however, the impact of robotic platforms on total operating room time (TORT) remains poorly investigated. This study aimed to compare the TORTs for robot-assisted liver resection (RLR) and laparoscopic liver resection (LLR) by analyzing five distinct surgical phases.

methodsThis single-center retrospective study included 268 patients who underwent pure MILR (166 RLR and 102 LLR) between January 2018 and December 2025. The TORT was divided into five surgical phases: in-room to cut time, cut to transection time, transection time, transection to close time, and close to wheel-out time. Multivariable linear regression analyses were performed to identify predictors of TORT.

resultsThe median TORT was significantly shorter for RLR than for LLR (RLR vs. LLR; 254 vs. 352 min, P < 0.001). It was consistently shorter across almost all phases of the RLR: room-to-cut time (51 vs. 78 min, P < 0.001), cut-to-transection time (46 vs. 68 min, P < 0.001), transection time (56 vs. 98 min, P < 0.001), and transection to close time (50 vs. 63 min, P < 0.001). Multivariable analyses identified central venous catheterization (estimate: 17.4 min; 95% CI, 7.7-27.0; P < 0.001), posterosuperior tumor location (estimate: 31.8; 95% CI, 22.8-40.7; P < 0.001), anatomic resection (estimate: 35.4; 95% CI, 26.6-44.2; P < 0.001), and LLR (estimate: 43.9; 95% CI, 34.4-53.4; P < 0.001) as independent predictors of prolonged TORT. Phase-specific analysis revealed that the robotic approach was an independent factor for shortening all surgical phases, except for the close to wheels-out time.

conclusionThe TORT for RLR was significantly shorter because of reduced time requirements across nearly all surgical phases. The robotic approach may enhance the operational efficiency of the operating room workflow for MILR.

Indexed as

HepatectomyLaparoscopyLiver NeoplasmsOperating RoomsOperative TimeRobotic Surgical ProceduresWorkflowAgedFemaleHumansMaleMiddle AgedRetrospective StudiesLaparoscopic liver resectionRobotic liver resectionTotal operating room time

Identifiers

PMID42547630
PMCPMC13633322

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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.