Evidence map›Paper›PMID 38683380›Full record

ArticleJournal of robotic surgery2024

Exploring the feasibility of robotic liver resection in a limited resource setting.

Eun Jeong Jang, Sung Hwa Kang, Kwan Woo Kim

Abstract read
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In one paragraph

Article in Journal of robotic surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Robotic Caudate Lobectomy: Feasibility and Techniques with Da Vinci Xi and SP Systems.JSLS : Journal of the Society of Laparoendoscopic Surgeons
    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

3 authors.

Eun Jeong JangDepartment of Surgery, Dong-A University College of Medicine, Dong-A University Medical Center, 26 Daesingongwon-ro, Seo-gu, Busan, 49201, Republic of Korea.ORCID http://orcid.org/0000-0002-8993-7769
Sung Hwa KangDepartment of Surgery, Dong-A University College of Medicine, Dong-A University Medical Center, 26 Daesingongwon-ro, Seo-gu, Busan, 49201, Republic of Korea.ORCID http://orcid.org/0000-0002-5614-5968
Kwan Woo KimDepartment of Surgery, Dong-A University College of Medicine, Dong-A University Medical Center, 26 Daesingongwon-ro, Seo-gu, Busan, 49201, Republic of Korea. d002045@naver.com.ORCID http://orcid.org/0000-0002-7432-6949

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The transition from open hepatectomy to minimally invasive techniques has reduced morbidity and mortality. However, laparoscopic liver resection (LLR) requires substantial expertise. Robotic liver resection (RLR) combines minimal invasiveness with open surgical precision. It may facilitate complex procedures without the learning required for LLR. We evaluated RLR outcomes in a limited resource setting and assessed its efficacy and practicality. This retrospective study analyzed 67 robotic hepatectomies conducted from 2020 to 2023. Demographic, perioperative factors, and surgical outcomes were analyzed. Major hepatectomies were required in 46/67 (68.7%) patients who underwent RLR. No open conversions, 30-day mortalities, or readmissions occurred. Complications occurred in 7.4% of patients; major complications occurred in 5.9%. Learning curve analysis showed a negative correlation between operation sequence and operative time. Effective use of robotic technology combined with the expertise of well-trained surgeons facilitates successful execution of RLR with feasible surgical outcomes, even at smaller centers.

Indexed as

Feasibility StudiesHepatectomyLearning CurveRobotic Surgical ProceduresAdultAgedFemaleHumansLaparoscopyLiver NeoplasmsMaleMiddle AgedOperative TimePostoperative ComplicationsRetrospective StudiesTreatment OutcomeHepatectomyLiver diseaseMinimally invasive surgical procedureRobotic surgical procedure

Identifiers

What OpenQuestion holds

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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.