Evidence map›Paper›PMID 41479724›Full record

ArticleWorld journal of gastrointestinal surgery2025

Outcomes of robotic liver resection and intraoperative radiofrequency ablation for hepatocellular carcinoma in posterior segments VII and VIII.

Cheng-Ming Peng, Shao-Chieh Lin, Yung-Yin Cheng, Teng-Chieh Cheng, Ching-Lung Hsieh, Chia-Hong Hsieh, Mei-Fang Hsieh, Chun-Han Liao, Ming-Cheng Liu, Yi-Jui Liu

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Article in World journal of gastrointestinal surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

10 authors.

Cheng-Ming PengDepartment of Surgery, Chung Shan Medical University Hospital, Taichung 40201, Taiwan.
Shao-Chieh LinPh.D. Program of Electrical and Communications Engineering, Feng Chia University, Taichung 407, Taiwan.
Yung-Yin ChengPh.D. Program of Electrical and Communications Engineering, Feng Chia University, Taichung 407, Taiwan.
Teng-Chieh ChengDa Vinci Minimally Invasive Surgery Center, Chung Shan Medical University Hospital, Taichung 40201, Taiwan.
Ching-Lung HsiehDepartment of Surgery, Chung Shan Medical University Hospital, Taichung 40201, Taiwan.
Chia-Hong HsiehPh.D. Program of Electrical and Communications Engineering, Feng Chia University, Taichung 407, Taiwan.
Mei-Fang HsiehPh.D. Program of Electrical and Communications Engineering, Feng Chia University, Taichung 407, Taiwan.
Chun-Han LiaoPh.D. Program of Electrical and Communications Engineering, Feng Chia University, Taichung 407, Taiwan.
Ming-Cheng LiuDepartment of Medical Imaging, Taichung Veterans General Hospital, Taichung 407, Taiwan.
Yi-Jui LiuDepartment of Automatic Control Engineering, Feng Chia University, Taichung 407, Taiwan. erliu@fcu.edu.tw.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHepatocellular carcinoma (HCC) in segments VII and VIII poses technical challenges for both liver resection and radiofrequency ablation (RFA). Robotic-assisted techniques may enhance safety and precision, but comparative evidence remains limited.

aimTo compare the clinical outcomes of robotic liver resection (R-LR) and robotic intraoperative RFA (RIO-RFA) for HCC located in liver segments VII and VIII.

methodsWe retrospectively analyzed 93 HCC patients in segments VII/VIII with

resultsIn the

conclusionFor HCC in challenging liver segments VII and VIII, R-LR and RIO-RFA achieve comparable outcomes in

Indexed as

Hepatocellular carcinomaLiver segments VII and VIIIRadiofrequency ablationRecurrence-free survivalRobotic liver resectionSurvival outcomes

Identifiers

PMID41479724
PMCPMC12754283

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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.