Evidence map›Paper›PMID 29152475›Full record

ReviewHepatobiliary surgery and nutrition2017

Use of robotics in liver donor right hepatectomy.

Po-Da Chen, Chao-Yin Wu, Yao-Ming Wu

Open access · hybridAbstract readReview
In one paragraph

Review in Hepatobiliary surgery and nutrition, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.5field-weighted citation impact, top 11% 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

8 citing papers in PubMed, 24 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Exploring new trends in living related liver transplantation.Hepatobiliary surgery and nutrition · 2018
    Article
  6. Use of robotics in liver donor right hepatectomy.Hepatobiliary surgery and nutrition · 2018
    Article
  7. Use of robotics in liver donor right hepatectomy.Hepatobiliary surgery and nutrition · 2018
    Article
  8. Robotic surgery: the promise and finally the progress.Hepatobiliary surgery and nutrition · 2017
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Po-Da ChenDepartment of Surgery, National Taiwan University Hospital, Taipei, Taiwan.
Chao-Yin WuDepartment of Surgery, National Taiwan University Hospital, Taipei, Taiwan.
Yao-Ming WuDepartment of Surgery, National Taiwan University Hospital, Taipei, Taiwan.
National Taiwan University Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Liver transplantation is the best solution for end stage liver disease, and has been widely accepted and rapidly developed in the past decades. Along with the improved outcomes of liver transplantation, living-related donor transplantation has been conducted to overcome the shortage of the deceased donor. The most important aspects of the living-related liver transplantation are donor safety and fast recovery after graft procurement. Meanwhile, the rapid progress of minimally invasive surgery (MIS) in general surgery has generated heated debate regarding the appropriateness of MIS in living-related donor graft hepatectomy. Technical innovations and instrument enhancements have been allowing recruitment of more potential candidates through smaller wounds and better surgical experience. Although MIS has been documented with safety and feasibility in complex liver surgery, the progress is slow in regard to the application of MIS in donor graft hepatectomy. Pioneer surgeons have devoted themselves to develop the pure MIS approach for the liver donor surgery, but the steep learning curve for pure MIS major hepatectomy remains a major barrier for wide adoption. The introduction of robotic system may lower the barrier for entry for practice into MIS donor hepatectomy.

Indexed as

donor hepatectomyRobotic surgery

Identifiers

PMID29152475
PMCPMC5673766
OpenAlexW3145123515

What OpenQuestion holds

Textmetadata
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.