Evidence map›Paper›PMID 31514449›Full record

ArticleJournal of clinical medicine2019

Low Alanine Aminotransferase Cut-Off for Predicting Liver Outcomes; A Nationwide Population-Based Longitudinal Cohort Study.

Jin Hwa Park, Jun Choi, Dae Won Jun, Sung Won Han, Yee Hui Yeo, Mindie H Nguyen

Abstract read
In one paragraph

Article in Journal of clinical medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Trial
  2. Early Prediction of Hepatic Decompensation in Cirrhosis Using Optimised XGBoost Models at the Initial Outpatient Hepatology Visit.Liver international : official journal of the International Association for the Study of the Liver · 2026
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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

6 authors.

Jin Hwa ParkDepartment Internal Medicine, Hanyang University, Seoul 133-792, Korea. pjh6718@hanmail.net.
Jun ChoiDepartment of Fusion Data Analytics, School of Industrial Management Engineering, Korea University, Seoul 136-701, Korea. jun.choi@outlook.kr.
Dae Won JunDepartment Internal Medicine, Hanyang University, Seoul 133-792, Korea. noshin@hanyang.ac.kr.
Sung Won HanDepartment of Fusion Data Analytics, School of Industrial Management Engineering, Korea University, Seoul 136-701, Korea. swhan@korea.ac.kr.
Yee Hui YeoDivision of Gastroenterology and Hepatology, Stanford University Medical Center, Palo Alto 94305, CA, USA. yeehuiy@stanford.edu.
Mindie H NguyenDivision of Gastroenterology and Hepatology, Stanford University Medical Center, Palo Alto 94305, CA, USA. mindiehn@stanford.edu.

Funding

National Research Foundation of Korea 2017M3A9C8028794
6 · The paper itself

Abstract

BACKGROUND AND

aimRecent practice guidelines suggest healthy normal alanine aminotransferase (ALT) levels should be less than 30 U/L for males and 19 U/L for females. We tried to validate the prediction power of the "low cut off" for liver related outcomes in the general population.

methodsA total of 426,013 subjects were followed up for 10 years using the National Health Screening Cohort database. Prediction ability of long term mortality and liver related outcomes between conventional (<40 U/L in men and women) and low (<30 U/L in men and <19 U/L in women) ALT cut-off values were compared.

resultsBoth conventional and low ALT cut-offs predicted liver related unfavorable outcomes in Kaplan-Meier analysis. Following adjustment for age, body mass index, smoking, exercise, alcohol consumption, fasting blood glucose, and cholesterol via multivariate Cox regression, abnormal ALT using new 'low ALT cut off' was a significant independent predictor for liver-related mortality, HCC, and decompensated liver events. When the low cut-off criteria were added to the prediction model, the ability to predetect liver-related hard outcomes significantly increased in both men and women (p-values < 0.0001). The C-index values for predicting liver-related adverse events were the same in both ALT cut-offs, after adjusting confounding factors (C index value: 0.73~0.88).

conclusionsNew low ALT cut-off showed good prediction power for liver related unfavorable outcomes.

Indexed as

alanine aminotransferaseliver function testsmortalityupper limit of normal

Identifiers

PMID31514449
PMCPMC6780691

What OpenQuestion holds

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LicenceCC BY
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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.