Evidence map›Paper›PMID 37073441›Full record

ArticleClinical and translational science2023

Safety assessment of a three-dimensional-printed autologous omentum patch: An application on the kidneys as a new treatment approach.

Hyunwoo Jo, Janghwan Kim, Jin-Wook Kim, Boyun Kim, Bo Young Choi, Kyuyong Kang, Jina Ryu, Min Su Kim

Open access · goldAbstract read
In one paragraph

Article in Clinical and translational science, 2023. 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
1.9field-weighted citation impact, top 15% 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, 6 citations in OpenAlex.

  1. Article
  2. 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

8 authors at 3 institutions in 3 countries.

Hyunwoo JoR&D Center, ROKIT Healthcare, Inc., Seoul, Korea.
Janghwan KimR&D Center, ROKIT Healthcare, Inc., Seoul, Korea.
Jin-Wook KimR&D Center, ROKIT Healthcare, Inc., Seoul, Korea.
Boyun KimR&D Center, ROKIT Healthcare, Inc., Seoul, Korea.
Bo Young ChoiR&D Center, ROKIT Healthcare, Inc., Seoul, Korea.
Kyuyong KangCollege of Veterinary Medicine and the Research Institute for Veterinary Science, Seoul National University, Seoul, Korea.
Jina RyuR&D Center, ROKIT Healthcare, Inc., Seoul, Korea.ORCID 0000-0001-5775-1698
Min Su KimCollege of Veterinary Medicine and the Research Institute for Veterinary Science, Seoul National University, Seoul, Korea.ORCID 0000-0002-7467-496X
AMN Healthcare (United States) · USSeoul National University · KRKorea University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recently, the field of regenerative medicine has made great strides in the development of new treatments for various organ dysfunctions. One of the most promising new approaches is the use of three-dimensional (3D) printing and autologous tissues. In this study, we evaluated the safety of a 3D-printed autologous omentum patch to kidneys using large animals. A total of seven micropigs underwent transplantation of the 3D-printed autologous omentum patch. Twelve weeks after transplantation, the safety was evaluated by measuring body weight, blood, and the renal resistive index. In addition, biopsy samples were histologically analyzed. The results showed no surgical complications, renal functional hematological changes, or inflammatory responses. Therefore, this study provides important insights into direct therapy to kidneys with a 3D-printed patch made of autologous tissue. Furthermore, it has the potential for the development of new therapies for various organ dysfunction.

Indexed as

KidneyOmentumAnimalsPrinting, Three-DimensionalRegenerative Medicine

Identifiers

PMID37073441
PMCPMC10339691
OpenAlexW4366351707

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.