Evidence map›Paper›PMID 37872991›Full record

ReviewBiomedical engineering letters2023

Robot-assisted orthopedic surgeries around shoulder joint: where we are?

Joon-Ryul Lim, Yong-Min Chun

Open access · greenAbstract readReview
In one paragraph

Review in Biomedical engineering letters, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
5.4field-weighted citation impact, top 4% 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

9 citing papers in PubMed, 17 citations in OpenAlex.

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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

2 authors at 1 institution in 1 country.

Joon-Ryul LimDepartment of Orthopaedic Surgery, Severance Hospital, Arthroscopy and Joint Research Institute, Yonsei University College of Medicine, 134, Shinchon-dong, Seodaemun-gu, CPO Box 8044, Seoul, 120-752 Korea.ORCID 0000-0002-0123-7136
Yong-Min ChunDepartment of Orthopaedic Surgery, Severance Hospital, Arthroscopy and Joint Research Institute, Yonsei University College of Medicine, 134, Shinchon-dong, Seodaemun-gu, CPO Box 8044, Seoul, 120-752 Korea.ORCID 0000-0002-8147-6136
Yonsei University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aims to comprehensively review the current literatures about robot-assisted techniques for shoulder joint arthroplasty and also in experimental articles or case series about around shoulder soft tissue surgeries including arthroscopy, tendon transfer and brachial plexus surgeries. This article evaluates the existing literature and clinical studies to suggests future direction of robotic-assisted techniques in shoulder joint surgeries. Robotic surgery has emerged as an innovative and transformative technology in orthopedics, offering advancements in surgical precision and optimization particularly during total hip and knee arthroplasty. In shoulder joint, patients specific instrumentation with preoperative planning and intraoperative navigation system are being used. Robotic-assisted shoulder arthroplasty will be introduced. In soft tissue surgery, robot-assisted tendon transfer and around brachial plexus surgeries is being clinically tried. In additions, postoperative robot-assisted rehabilitation after may have potential advantages. With the overall development of several industries including robotic technology, robot-assisted pre-, intra- and post-operative techniques could be an essential part of the overall shoulder surgery. However, further research and larger-scale studies are needed to establish its long-term efficacy, and potential complications.

Indexed as

ArthroplastyProsthesis implantationRoboticsRobotic surgical proceduresTotal shoulder replacements

Identifiers

PMID37872991
PMCPMC10590334
OpenAlexW4387695617

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.