Evidence map›Paper›PMID 38531925›Full record

ArticleScientific reports2024

Comparative evaluation of non-invasive tests for risk stratification for cause specific mortality in at-risk population of hepatic fibrosis.

Huiyul Park, Eileen L Yoon, Mimi Kim, Hye-Lin Kim, Mi Kyung Kim, Yu-Mi Kim, Dae Won Jun

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2024. 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
2.3field-weighted citation impact, top 12% of its field
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, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

7 authors at 4 institutions in 1 country.

Huiyul Park *Department of Family Medicine, Myoungji Hospital, Hanyang University College of Medicine, Seoul, Korea.
Eileen L Yoon *Department of Internal Medicine, Hanyang University College of Medicine, 222 Wangsimni-ro, Seongdong-gu, Seoul, 04763, Korea.
Mimi KimDepartment of Radiology, Hanyang University College of Medicine, Seoul, Korea.
Hye-Lin KimCollege of Pharmacy, Sahmyook University, Seoul, Republic of Korea.
Mi Kyung KimDepartment of Preventive Medicine, Hanyang University College of Medicine, 222 Wangsimni-ro, Seongdong-gu, Seoul, 04763, Republic of Korea.
Yu-Mi KimDepartment of Preventive Medicine, Hanyang University College of Medicine, 222 Wangsimni-ro, Seongdong-gu, Seoul, 04763, Republic of Korea. kimyumi@hanyang.ac.kr.
Dae Won JunDepartment of Internal Medicine, Hanyang University College of Medicine, 222 Wangsimni-ro, Seongdong-gu, Seoul, 04763, Korea. noshin@hanyang.ac.kr.
Anyang University · KRHanyang University · KRMyongji Hospital · KRSahmyook University · KR

Funding

Korea Centers for Disease Control and Prevention 2004-E71004-00Korea Centers for Disease Control and Prevention 20 05-E71011-00Korea Centers for Disease Control and Prevention 20 06-E71009-0 0Korea Centers for Disease Control and Prevention 20 07-E71002-0 0Korea Centers for Disease Control and Prevention 2008-E71004-00Korea Centers for Disease Control and Prevention 2009-E71006-00Korea Centers for Disease Control and Prevention 2010-E71003-0 0Korea Centers for Disease Control and Prevention 2011-E71002-0 0Korea Centers for Disease Control and Prevention 2012-E710 07-0 0Korea Centers for Disease Control and Prevention 2013-E71008-0 0Korea Centers for Disease Control and Prevention 2014-E710 06-00Korea Centers for Disease Control and Prevention 2014-E710 06-01Korea Centers for Disease Control and Prevention 2016-E71001-00Korea Centers for Disease Control and Prevention 2017N-E71001-0 0Korea National Institute of Health 2022-ER0906-00Ministry of Health & Welfare, Republic of Korea HC23C0058
6 · The paper itself

Abstract

Our study aimed to conduct a comparative evaluation of various noninvasive tests (NITs) for risk stratification in at-risk population for non-alcoholic fatty liver disease (NAFLD), focusing on cardiovascular and liver-related mortality. A total of 21,715 adults aged 40 years and older were enrolled at baseline. The mean follow-up period was 12.39 years. Three types of NITs (fibrosis-4 index [FIB-4], NAFLD fibrosis score [NFS], and steatosis-associated fibrosis estimator [SAFE] score) were used. When using the low cut-off as a 'rule-out' strategy, there were no significant differences in cardiovascular mortality between the 'rule-out' (low-risk) group and the 'rule-in' (intermediate- or high-risk) group based on FIB-4 (aHR = 1.029, P = 0.845) or NFS (aHR = 0.839, P = 0.271) classification. However, the SAFE score exhibited higher sensitivity in predicting cardiovascular mortality compared to FIB-4 or NFS (73.3% in SAFE score vs. 29.6% in FIB-4 or 21.3% in NFS). Only the SAFE score could effectively differentiate the risk between low- and intermediate- or high-risk groups for all types of mortality (all P values for aHR < 0.001). The low cutoff value of the SAFE score discriminated not only liver-related mortality but also identified the cardiovascular high-risk group in the community cohort.

Indexed as

Cardiovascular DiseasesNon-alcoholic Fatty Liver DiseaseAdultBiopsyCause of DeathFibrosisHumansLiver CirrhosisMiddle AgedRisk AssessmentSeverity of Illness IndexAt-risk populationFibrosis-4 indexHepatic and extrahepatic mortalityNon-alcoholic fatty liver diseaseSAFE score

Identifiers

PMID38531925
PMCPMC10965918
OpenAlexW4393180958

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.