Evidence map›Paper›PMID 42089136›Full record

ArticleJournal of Korean medical science2026

Nutritional Risk Assessed by Royal Free Hospital-Nutritional Prioritizing Tool Predicts Survival in Cirrhosis With or Without Hepatocellular Carcinoma.

Hyun Joon Park, Jin Kyu Jung, Jeonghwan Noh, Yeonsu Kim, Sang Uk Lee, Byung Cheol Yun, Jung Wook Lee, Hyung Jun Kim, Kwang Il Seo

Abstract read
In one paragraph

Article in Journal of Korean medical science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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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

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No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Hyun Joon ParkDepartment of Internal Medicine, Kosin University Gospel Hospital, Kosin University College of Medicine, Busan, Korea.ORCID https://orcid.org/0000-0001-5443-4873
Jin Kyu JungDepartment of Internal Medicine, Kosin University Gospel Hospital, Kosin University College of Medicine, Busan, Korea.ORCID https://orcid.org/0009-0007-3172-5783
Jeonghwan NohKosin University College of Medicine, Busan, Korea.ORCID https://orcid.org/0009-0009-1727-0967
Yeonsu KimKosin University College of Medicine, Busan, Korea.ORCID https://orcid.org/0009-0003-0091-9324
Sang Uk LeeDepartment of Internal Medicine, Kosin University Gospel Hospital, Kosin University College of Medicine, Busan, Korea.ORCID https://orcid.org/0000-0002-1165-7011
Byung Cheol YunDepartment of Internal Medicine, Kosin University Gospel Hospital, Kosin University College of Medicine, Busan, Korea.ORCID https://orcid.org/0000-0003-2585-3109
Jung Wook LeeDepartment of Internal Medicine, Kosin University Gospel Hospital, Kosin University College of Medicine, Busan, Korea.ORCID https://orcid.org/0000-0003-4166-0315
Hyung Jun KimDepartment of Internal Medicine, Dongnam Institute of Radiological & Medical Sciences, Busan, Korea.ORCID https://orcid.org/0000-0001-5663-2291
Kwang Il SeoDepartment of Internal Medicine, Kosin University Gospel Hospital, Kosin University College of Medicine, Busan, Korea.ORCID https://orcid.org/0000-0001-8854-5205

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNutritional status is an independent factor that affects clinical outcomes in patients with liver cirrhosis (LC). This study aimed to investigate the prognosis of patients with LC according to their nutritional risk.

methodsFrom January 2020 to April 2021, the medical records of patients with LC with/without hepatocellular carcinoma (HCC) who underwent abdominal computed tomography and nutritional risk evaluation using the Royal Free Hospital-Nutritional Prioritizing Tool (RFH-NPT) were retrospectively reviewed.

resultsIn total, 243 patients were analyzed, 92: LC without HCC and 151: LC with HCC. Nutritional risk analysis using RFH-NPT revealed that 121 (49.8%) patients were low-risk, 35 (14.4%) moderate-risk, and 87 (35.8%) high-risk. Child-Pugh class (

conclusionRFH-NPT is a useful method for evaluating nutritional risk and predicting the survival rate of patients with LC with/without HCC.

Indexed as

Carcinoma, HepatocellularLiver CirrhosisLiver NeoplasmsNutritional StatusNutrition AssessmentAgedFemaleHumansMaleMiddle AgedPrognosisRetrospective StudiesRisk AssessmentRisk FactorsTomography, X-Ray ComputedHepatocellular CarcinomaLiver CirrhosisNutritional StatusRoyal Free Hospital-Nutritional Prioritizing ToolSurvival

Identifiers

PMID42089136
PMCPMC13143804

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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.