Evidence map›Paper›PMID 41624490›Full record

ArticleJHEP reports : innovation in hepatology2026

Integration of

Dong Yun Kim, Hyun-Soo Zhang, Jae Seung Lee, Hye Won Lee, Mi Na Kim, Beom Kyung Kim, Seung Up Kim, Do Young Kim, Sang Hoon Ahn, Hyun Woong Lee and 3 more

Abstract read
In one paragraph

Article in JHEP reports : innovation in hepatology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. From Single Agents to Synergy: Redefining Therapeutic Strategies in MASLD.International journal of molecular sciences · 2026
    Review
  3. 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

13 authors.

Dong Yun KimDepartment of Internal Medicine, Yonsei University College of Medicine, Yonsei Liver Center, Severance Hospital, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, Republic of Korea.
Hyun-Soo ZhangBiostatistics Collaboration Unit, Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul, Republic of Korea.
Jae Seung LeeDepartment of Internal Medicine, Yonsei University College of Medicine, Yonsei Liver Center, Severance Hospital, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, Republic of Korea.
Hye Won LeeDepartment of Internal Medicine, Yonsei University College of Medicine, Yonsei Liver Center, Severance Hospital, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, Republic of Korea.
Mi Na KimDepartment of Internal Medicine, Yonsei University College of Medicine, Yonsei Liver Center, Severance Hospital, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, Republic of Korea.
Beom Kyung KimDepartment of Internal Medicine, Yonsei University College of Medicine, Yonsei Liver Center, Severance Hospital, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, Republic of Korea.
Seung Up KimDepartment of Internal Medicine, Yonsei University College of Medicine, Yonsei Liver Center, Severance Hospital, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, Republic of Korea.
Do Young KimDepartment of Internal Medicine, Yonsei University College of Medicine, Yonsei Liver Center, Severance Hospital, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, Republic of Korea.
Sang Hoon AhnDepartment of Internal Medicine, Yonsei University College of Medicine, Yonsei Liver Center, Severance Hospital, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, Republic of Korea.
Hyun Woong LeeDepartment of Internal Medicine, Yonsei University College of Medicine, Gangnam Severance Hospital, 211, Eonju-ro, Gangnam-gu, Seoul, Republic of Korea.
Heon Yung GeeDepartment of Pharmacology, Yonsei University College of Medicine, Seoul, Republic of Korea.
Jung Il LeeDepartment of Internal Medicine, Yonsei University College of Medicine, Gangnam Severance Hospital, 211, Eonju-ro, Gangnam-gu, Seoul, Republic of Korea.
Jun Yong ParkDepartment of Internal Medicine, Yonsei University College of Medicine, Yonsei Liver Center, Severance Hospital, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background & Aims: Genetic information is not yet used for the clinical diagnosis of advanced fibrosis in patients with metabolic dysfunction-associated steatotic liver disease (MASLD). Herein, we investigated whether incorporating genetic information regarding Methods: Data were collected from a cohort of 637 patients with biopsy-proven MASLD. All participants underwent liver stiffness measurement (LSM), serum marker analysis, and genotyping for Results: Decision curve analysis in the validation cohort (n = 238) demonstrated that incorporating Conclusions: Incorporating Impact and implications: Our research demonstrates that incorporating

Indexed as

Advanced FibrosisDecision Curve AnalysisGenotypesMetabolic Dysfunction-Associated Steatotic Liver DiseaseNon-Invasive TestsType 2 diabetes mellitus

Identifiers

PMID41624490
PMCPMC12857344

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.