Evidence map›Paper›PMID 32728876›Full record

SynthesisFrontiers of medicine2020

Review of surgical robotic systems for keyhole and endoscopic procedures: state of the art and perspectives.

Yuyang Chen, Shu'an Zhang, Zhonghao Wu, Bo Yang, Qingquan Luo, Kai Xu

Abstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Frontiers of medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Research Progress of Robot Technology inInternational journal of bioprinting · 2022
    Review
  10. 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

6 authors.

Yuyang ChenRII Lab (Lab of Robotics Innovation and Intervention), UM-SJTU Joint Institute, Shanghai Jiao Tong University, Shanghai, 200240, China.
Shu'an ZhangRII Lab (Lab of Robotics Innovation and Intervention), UM-SJTU Joint Institute, Shanghai Jiao Tong University, Shanghai, 200240, China.
Zhonghao WuRII Lab (Lab of Robotics Innovation and Intervention), UM-SJTU Joint Institute, Shanghai Jiao Tong University, Shanghai, 200240, China.
Bo YangDepartment of Urology, Shanghai Changhai Hospital, the Second Military Medical University, Shanghai, 200433, China.
Qingquan LuoShanghai Lung Cancer Center, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, 200030, China.
Kai XuState Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China. k.xu@sjtu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Minimally invasive surgery, including laparoscopic and thoracoscopic procedures, benefits patients in terms of improved postoperative outcomes and short recovery time. The challenges in hand-eye coordination and manipulation dexterity during the aforementioned procedures have inspired an enormous wave of developments on surgical robotic systems to assist keyhole and endoscopic procedures in the past decades. This paper presents a systematic review of the state-of-the-art systems, picturing a detailed landscape of the system configurations, actuation schemes, and control approaches of the existing surgical robotic systems for keyhole and endoscopic procedures. The development challenges and future perspectives are discussed in depth to point out the need for new enabling technologies and inspire future researches.

Indexed as

LaparoscopyRobotic Surgical ProceduresHumansMinimally Invasive Surgical Proceduresendoscopic surgerykeyhole surgerysurgical robots

Identifiers

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.