Evidence map›Paper›PMID 41112358›Full record

ArticleAnnals of surgical treatment and research2025

Single-nucleotide polymorphisms of donor

Saran Ochir Gongor, Kwang-Woong Lee, Eun-Woo Choi, Jae-Yoon Kim, Jeong-Moo Lee, Suk Kyun Hong, YoungRok Choi, Nam-Joon Yi, Kyung-Suk Suh

Abstract read
In one paragraph

Article in Annals of surgical treatment and research, 2025. 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
–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

1 citing paper in PubMed.

  1. 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

9 authors.

Saran Ochir GongorDepartment of Surgery, Seoul National University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0009-0007-0950-962X
Kwang-Woong LeeDepartment of Surgery, Seoul National University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0001-6412-1926
Eun-Woo ChoiDepartment of Surgery, Seoul National University Hospital, Seoul, Korea.ORCID https://orcid.org/0009-0004-0524-7712
Jae-Yoon KimDepartment of Surgery, Seoul National University Hospital, Seoul, Korea.ORCID https://orcid.org/0000-0002-2546-3752
Jeong-Moo LeeDepartment of Surgery, Seoul National University Hospital, Seoul, Korea.ORCID https://orcid.org/0000-0001-7806-8759
Suk Kyun HongDepartment of Surgery, Seoul National University Hospital, Seoul, Korea.ORCID https://orcid.org/0000-0002-0020-6215
YoungRok ChoiDepartment of Surgery, Seoul National University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0003-2408-7086
Nam-Joon YiDepartment of Surgery, Seoul National University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-5467-425X
Kyung-Suk SuhDepartment of Surgery, Seoul National University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-9535-7349

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: The relationship between tacrolimus intrapatient variability (IPV) and its metabolism-associated single-nucleotide polymorphisms (SNPs) in liver transplantation (LT) remains unclear. Moreover, the influence of donor SNP on recipient IPV is poorly understood. Our objective was to investigate how SNPs affect tacrolimus IPV by analyzing both donor and recipient SNP data in LT. Methods: This retrospective study examined the association between tacrolimus IPV and eight specific SNPs in 50 adult LT recipients and 50 LT donors genotyped for Results: Two SNPs were significantly associated with high IPV in multivariate analysis. Recipient Conclusion: SNPs of donor

Indexed as

Cytochrome P-450 CYP3ADrug monitoringLiver transplantationSingle-nucleotide polymorphismTacrolimus

Identifiers

PMID41112358
PMCPMC12531637

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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.