Evidence map›Paper›PMID 42359087›Full record

ReviewFrontiers in medicine2026

Post-transplant MASLD: a risk-stratified approach to assessment and personalized management.

He-Yu Huang, Zhong-Qi Fan, Guo-Yue Lv

Abstract readReview
In one paragraph

Review in Frontiers in medicine, 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

3 authors.

He-Yu HuangDepartment of Hepatobiliary and Pancreatic Surgery, General Surgery Center, First Hospital of Jilin University, Changchun, Jilin, China.
Zhong-Qi FanDepartment of Hepatobiliary and Pancreatic Surgery, General Surgery Center, First Hospital of Jilin University, Changchun, Jilin, China.
Guo-Yue LvDepartment of Hepatobiliary and Pancreatic Surgery, General Surgery Center, First Hospital of Jilin University, Changchun, Jilin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolic dysfunction-associated steatotic liver disease (MASLD) has become a major indication for liver transplantation (LT) and is expected to account for an increasing proportion of transplant candidates worldwide. As long-term post-transplant survival continues to improve, post-LT MASLD has increasingly emerged as a major metabolic complication affecting long-term prognosis. Unlike MASLD in the non-transplant setting, post-LT MASLD is strongly influenced by transplant-specific factors, including recipient metabolic dysfunction, immunosuppressant use, graft-related characteristics, and metabolic alterations following transplantation, resulting in substantial heterogeneity in clinical presentation and disease progression. Current evidence suggests that recipient-related metabolic factors, particularly obesity, type 2 diabetes, dyslipidemia, hypertension and post-transplant weight gain, play central roles in the pathogenesis, whereas donor-related characteristics may contribute predominantly to early liver fat accumulation. Importantly, the clinical significance of post-LT MASLD extends beyond simple steatosis and is closely associated with fibrosis progression, cardiovascular events, renal dysfunction, and other systemic metabolic complications. Nevertheless, the current literature remains highly heterogeneous. This variability likely reflects evolving disease definitions, the frequent failure to distinguish recurrent from

Indexed as

liver transplantationmetabolic dysfunction-associated steatotic liver diseasenon-invasive assessmentpersonalized managementrisk stratification

Identifiers

PMID42359087
PMCPMC13290686

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Registered trials

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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.