Evidence map›Paper›PMID 33922770›Full record

ArticleMicromachines2021

Sensor-Embedded Automatic Grasping Forceps for Precise Corneal Suture in Penetrating Keratoplasty.

Hyung-Gon Shin, Ikjong Park, Keehoon Kim, Hong-Kyun Kim, Wan-Kyun Chung

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Micromachines, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 53% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

5 authors at 2 institutions in 1 country.

Hyung-Gon ShinDepartment of Mechanical Engineering, Pohang University of Science and Technology, Pohang 37673, Korea.ORCID 0000-0003-2562-4701
Ikjong ParkDepartment of Mechanical Engineering, Pohang University of Science and Technology, Pohang 37673, Korea.ORCID 0000-0003-4260-7305
Keehoon KimDepartment of Mechanical Engineering, Pohang University of Science and Technology, Pohang 37673, Korea.ORCID 0000-0002-1734-901X
Hong-Kyun KimDepartment of Ophthalmology, School of Medicine, Kyungpook National University, Daegu 41944, Korea.ORCID 0000-0002-9283-3506
Wan-Kyun ChungDepartment of Mechanical Engineering, Pohang University of Science and Technology, Pohang 37673, Korea.ORCID 0000-0003-2715-5320
Pohang University of Science and Technology · KRKyungpook National University · KR

Funding

Ministry of Trade, Industry and Energy 10048358Ministry of Trade, Industry and Energy 20012378,
6 · The paper itself

Abstract

In penetrating keratoplasty (PKP), the proper corneal suture placement is very important for successful transplantation and restoring functional vision. Generating sutures with accurate depth is difficult for the surgeon because of the tissue's softness, lack of depth information, and hand tremors. In this paper, an automatic cornea grasping device is proposed, which detects when the device reaches the target suture depth. When the device reaches the target depth, the device rapidly grasps the cornea to prevent error induced by human hand tremors. In the paper, the performance of the proposed sensor, the actuator, and the device are experimentally verified with ex vivo experiment. The result showed that the proposed device could enhance the accuracy and precision of the corneal suture depth.

Indexed as

corneal transplantationkeratoplastymedical robotmicrofabrication

Identifiers

PMID33922770
PMCPMC8145369
OpenAlexW3158742772

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.