Evidence map›Paper›PMID 30221155›Full record

ReviewHepatobiliary surgery and nutrition2018

Laparoscopic liver resection: a review of current indications and surgical techniques.

Chenyang Jia, Hongyu Li, Ningyuan Wen, Junhua Chen, Yonggang Wei, Bo Li

Abstract readReview
In one paragraph

Review in Hepatobiliary surgery and nutrition, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 2 pooled it
–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

32 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Is It Time to Consider Laparoscopic Hepatectomy for Intrahepatic Cholangiocarcinoma? A Meta-Analysis.Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract · 2020
    Pooled it
  3. Laparoscopic liver point cloud registration via hyperbolic-topology interaction.International journal of computer assisted radiology and surgery · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Chenyang JiaDepartment of Liver Surgery, Center of Liver Transplantation, West China Hospital of Sichuan University, Chengdu 610041, China.
Hongyu LiDepartment of Pancreatic Surgery, West China Hospital of Sichuan University, Chengdu 610041, China.
Ningyuan WenCollege of Clinical Medicine, Sichuan University, Chengdu 610065, China.
Junhua ChenDepartment of General surgery, Chengdu First People's Hospital, Chengdu 610200, China.
Yonggang WeiDepartment of Liver Surgery, Center of Liver Transplantation, West China Hospital of Sichuan University, Chengdu 610041, China.
Bo LiDepartment of Liver Surgery, Center of Liver Transplantation, West China Hospital of Sichuan University, Chengdu 610041, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Laparoscopic liver resection (LLR) has been the most impressive development in the field of liver surgery in recent two decades. Technical innovations and experience accumulation have made LLR a safe and effective procedure with faster postoperative recovery. Despite the fast spreading of the procedure, details regarding the indications, oncological outcomes and technical essentials were still disputable. To address these issues, two international consensus conferences were hold to update the knowledge in this field. The statements of the both conferences were not conclusive and more high-quality researches are required. In this article, we reviewed the development and the current state of LLR. Indications, outcomes, surgical techniques and devices used in LLR were also discussed.

Indexed as

indicationLaparoscopic liver resection (LLR)minimally invasivetechnique

Identifiers

PMID30221155
PMCPMC6131258

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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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.