Evidence map›Paper›PMID 42374826›Full record

ReviewClinical transplantation and research2026

Future of xenotransplantation in Korea.

Ik Jin Yun

Abstract readReview
In one paragraph

Review in Clinical transplantation and research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

1 author.

Ik Jin YunDepartment of Surgery, Konkuk University Medical Center, Konkuk University School of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0003-4013-6714

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As the chronic shortage of human donor organs becomes an undeniable clinical reality, xenotransplantation has transitioned from a theoretical concept to the threshold of clinical integration. Recent successful pig-to-human kidney trials signify a pivotal milestone, shifting the scientific focus from feasibility to long-term sustainability and systemic implementation. This review critically evaluates the current status and future trajectory of xenotransplantation, challenging the "more is better" paradox of genetic engineering. It emphasizes the minimum viable edit set and the physiological superiority of miniature pigs overgrowth hormone receptor knockout models. Furthermore, the paper outlines a Korean-style governance model, integrating advanced digital transformation and specialized infrastructure. Key proposed strategies include (1) digital monitoring: implementing a noninvasive surveillance system utilizing donor-derived cell-free DNA, digital twins, and AI-driven early warning systems; (2) blockchain integration: establishing data integrity and tokenomics-based patient compliance through a sovereign medical coin system to incentivize lifelong surveillance; (3) infrastructure innovation: introducing the Hybrid Hospital Model, featuring a sterile barrier window between porcine and human surgical suites to achieve a zero-ischemia workflow. Finally, the study stresses the necessity of a Xenotransplantation Special Act and the collaboration between public organ procurement organizations and specialized private contract research organizations. By combining genetic minimalism and a robust legal framework, South Korea can establish itself as a global standard setter, transforming xenotransplantation into a standardized, manageable precision medical service.

Indexed as

Hybrid hospitalMinimum viable edit

Identifiers

PMID42374826
PMCPMC13349812

What Socratic 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 Socratic graph.