Evidence map›Paper›PMID 31921935›Full record

ReviewRobotic surgery (Auckland)2019

Robotics in Cleft Surgery: Origins, Current Status and Future Directions.

Yasser Al Omran, Ali Abdall-Razak, Nader Ghassemi, Samar Alomran, Ding Yang, Ali M Ghanem

Open access · diamondAbstract readReview
In one paragraph

Review in Robotic surgery (Auckland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 29% 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

2 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Cleft of lip and palate: A review.Journal of family medicine and primary care · 2020
    Review
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 at 4 institutions in 2 countries.

Yasser Al OmranDepartment of Plastic Surgery, Birmingham Women's and Children's Hospital NHS Foundation Trust, Birmingham, UK.
Ali Abdall-RazakImperial College of Medicine, London, UK.ORCID 0000-0002-5219-7509
Nader GhassemiDepartment of Surgery, University Hospital North Midlands NHS Foundation Trust, Stoke-On-Trent, UK.
Samar AlomranSalmaniya Medical Complex, Manama, Kingdom of Bahrain.
Ding YangUniversity Hospital North Midlands NHS Foundation Trust, Stoke-On-Trent, UK.ORCID 0000-0001-5182-1616
Ali M GhanemAcademic Plastic Surgery Group, Barts and the London School of Medicine and Dentistry, London, UK.
University Hospitals of North Midlands NHS Trust · GBBirmingham Women’s and Children’s NHS Foundation Trust · GBImperial College London · GBSalmaniya Medical Complex · BH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The field of robotic surgery is an exciting and growing field that has bolstered its way to become a mainstream application in a number of surgical disciplines. The application of robotic surgery in cleft surgery is novel and has captivated many with the benefit it provides: the slender and small arms with wrist articulation at the instrument tip; motion scaling; tremor elimination; and high fidelity, three-dimensional visualization make the robot a very attractive platform for use in confined spaces with small surgical targets. The story of the origin of robotic surgery in cleft surgery is an interesting one, and one that has arisen from other allied surgical specialities to render robotic cleft surgery as its own specialised field. A field that has coined its own terms and has demonstrated a number of applications for its use. This review details the origins of robotic cleft surgery, its evolution and its current status and elaborates on future directions to enhance its application.

Indexed as

cleft lipcleft palaterobotics

Identifiers

PMID31921935
PMCPMC6935310
OpenAlexW2995696269

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.