Evidence map›Paper›PMID 35884973›Full record

ArticleBiomedicines2022

Plasma Metabolomics and Machine Learning-Driven Novel Diagnostic Signature for Non-Alcoholic Steatohepatitis.

Moongi Ji, Yunju Jo, Seung Joon Choi, Seong Min Kim, Kyoung Kon Kim, Byung-Chul Oh, Dongryeol Ryu, Man-Jeong Paik, Dae Ho Lee

Open access · goldAbstract read
In one paragraph

Article in Biomedicines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
4.7field-weighted citation impact, top 4% 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

25 citing papers in PubMed, 33 citations in OpenAlex.

  1. Trial
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  9. Article
  10. Effects of Melatonin andAntioxidants (Basel, Switzerland) · 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

9 authors at 3 institutions in 1 country.

Moongi JiCollege of Pharmacy, Sunchon National University, Suncheon 57922, Korea.
Yunju JoDepartment of Molecular Cell Biology, Sungkyunkwan University (SKKU) School of Medicine, Suwon 16419, Korea.ORCID 0000-0002-6305-3324
Seung Joon ChoiDepartment of Radiology, Gil Medical Center, Gachon University College of Medicine, Incheon 21565, Korea.ORCID 0000-0003-3861-7682
Seong Min KimDepartment of Surgery, Gil Medical Center, Gachon University College of Medicine, Incheon 21565, Korea.
Kyoung Kon KimDepartment of Family Medicine, Gil Medical Center, Gachon University College of Medicine, Incheon 21565, Korea.
Byung-Chul OhDepartment of Physiology, Lee Gil Ya Cancer and Diabetes Institute, Gachon University College of Medicine, Incheon 21565, Korea.ORCID 0000-0002-4277-7083
Dongryeol RyuDepartment of Molecular Cell Biology, Sungkyunkwan University (SKKU) School of Medicine, Suwon 16419, Korea.ORCID 0000-0001-5905-6760
Man-Jeong PaikCollege of Pharmacy, Sunchon National University, Suncheon 57922, Korea.
Dae Ho LeeDepartment of Internal Medicine, Gil Medical Center, Gachon University College of Medicine, Incheon 21565, Korea.ORCID 0000-0002-8832-3052
Gachon University · KRSunchon National University · KRSungkyunkwan University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We performed targeted metabolomics with machine learning (ML)-based interpretation to identify metabolites that distinguish the progression of nonalcoholic fatty liver disease (NAFLD) in a cohort. Plasma metabolomics analysis was conducted in healthy control subjects (

Indexed as

biomarkersmachine learningmetabolomicsnonalcoholic fatty liver diseasenonalcoholic steatohepatitis

Identifiers

PMID35884973
PMCPMC9312563
OpenAlexW4285033877

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.