Evidence map›Paper›PMID 30962128›Full record

SynthesisChinese journal of traumatology = Zhonghua chuang shang za zhi2019

Current surgical practices of robotic-assisted tissue repair and reconstruction.

Peng Wang, Ying-Jun Su, Chi-Yu Jia

Abstract readSystematic Review
In one paragraph

Synthesis in Chinese journal of traumatology = Zhonghua chuang shang za zhi, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Is There Room for Microsurgery in Robotic Surgery?Revista brasileira de ortopedia · 2022
    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.

Peng WangDepartment of Burn and Plastic Surgery, Xiang'an Hospital of Xiamen University, Xiamen 361100, Fujian Province, China.
Ying-Jun SuDepartment of Burn and Plastic Surgery, Xiang'an Hospital of Xiamen University, Xiamen 361100, Fujian Province, China.
Chi-Yu JiaDepartment of Burn and Plastic Surgery, Xiang'an Hospital of Xiamen University, Xiamen 361100, Fujian Province, China. Electronic address: jiachiyu@qq.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper systematically reviewed and analyzed the recent publications of robotic-assisted surgeries in the field of tissue repair and reconstruction. Surgical robots can elevate skin flap more accurately and shorten the time of tissue harvest. In addition, robotic-assisted surgery has the advantage of minimal tissue trauma and thus forms minimal scar. The utilization of surgical robots reduces the occurrence of complications after oral radical tumor resection while achieving cosmetic sutures. Robotic-assisted radical mastectomy could radically remove invasive breast cancer lesions and achieve breast reconstruction in the first stage through the small incisions in the operation areas. Surgical robots enable precise microvascular anastomosis and reduce tissue edema in the surgical field. Robotic-assisted technology can help appropriately locate the target tissues at different angles during sinus and skull base surgeries and accurately place tissues during urethroplasty. The robotic-assisted technology provides a new platform for surgical innovation in the field of tissue repair and reconstruction. However, the uncertainty in the survival rate after tumor radical surgery, the increase of operating time, and the high costs are barriers for its clinical application in tissue repair and reconstructive surgery. Nevertheless, robotic-assisted technology has already demonstrated an impact on the field of tissue repair and reconstruction in a meaningful way.

Indexed as

Breast NeoplasmsCicatrixHumansMinimally Invasive Surgical ProceduresMouth NeoplasmsOperative TimePlastic Surgery ProceduresRobotic Surgical ProceduresSkull BaseSurgical FlapsTissue and Organ HarvestingUrethraRobotic-assisted technologySurgical robotTissue repair and reconstruction

Identifiers

PMID30962128
PMCPMC6487454

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.