Evidence map›Paper›PMID 29101348›Full record

ArticleScientific reports2017

Plasma amino acid profile associated with fatty liver disease and co-occurrence of metabolic risk factors.

Minoru Yamakado, Takayuki Tanaka, Kenji Nagao, Akira Imaizumi, Michiharu Komatsu, Takashi Daimon, Hiroshi Miyano, Mizuki Tani, Akiko Toda, Hiroshi Yamamoto and 2 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

32 citing papers in PubMed, 67 citations in OpenAlex.

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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

12 authors at 5 institutions in 1 country.

Minoru YamakadoCenter for Multiphasic Health Testing and Services, Mitsui Memorial Hospital, 1 Kanda, Izumicho, Chiyoda-ku, Tokyo, 101-8643, Japan.
Takayuki TanakaInstitute for Innovation, Ajinomoto Co., Inc., 1-1 Suzuki-cho, Kawasaki-ku, Kawasaki, 210-8681, Japan.
Kenji NagaoInstitute for Innovation, Ajinomoto Co., Inc., 1-1 Suzuki-cho, Kawasaki-ku, Kawasaki, 210-8681, Japan. kenji_nagao@04.alumni.u-tokyo.ac.jp.ORCID 0000-0002-0946-1431
Akira ImaizumiInstitute for Innovation, Ajinomoto Co., Inc., 1-1 Suzuki-cho, Kawasaki-ku, Kawasaki, 210-8681, Japan.
Michiharu KomatsuDepartment of Gastroenterology and Hepatology, Shinshu University School of Medicine, 3-1-1 Asahi, Matsumoto, 390-8621, Japan.
Takashi DaimonDepartment of Biostatistics, Hyogo College of Medicine, 1-1, Mukogawa-cho, Nishinomiya, 663-8131, Japan.
Hiroshi MiyanoInstitute for Innovation, Ajinomoto Co., Inc., 1-1 Suzuki-cho, Kawasaki-ku, Kawasaki, 210-8681, Japan.
Mizuki TaniCenter for Multiphasic Health Testing and Services, Mitsui Memorial Hospital, 1 Kanda, Izumicho, Chiyoda-ku, Tokyo, 101-8643, Japan.
Akiko TodaCenter for Multiphasic Health Testing and Services, Mitsui Memorial Hospital, 1 Kanda, Izumicho, Chiyoda-ku, Tokyo, 101-8643, Japan.
Hiroshi YamamotoInstitute for Innovation, Ajinomoto Co., Inc., 1-1 Suzuki-cho, Kawasaki-ku, Kawasaki, 210-8681, Japan.
Katsuhisa HorimotoMolecular Profiling Research Center for Drug Discovery, National Institute of Advanced Industrial Science and Technology, 2-4-7, Aomi, Koto-ku Tokyo, 135-0064, Japan.ORCID 0000-0002-8328-6694
Yuko IshizakaCenter for Multiphasic Health Testing and Services, Mitsui Memorial Hospital, 1 Kanda, Izumicho, Chiyoda-ku, Tokyo, 101-8643, Japan.
Suzuki (Japan) · JPMitsui Memorial Hospital · JPHyogo Medical University · JPNational Institute of Advanced Industrial Science and Technology · JPShinshu University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fatty liver disease (FLD) increases the risk of diabetes, cardiovascular disease, and steatohepatitis, which leads to fibrosis, cirrhosis, and hepatocellular carcinoma. Thus, the early detection of FLD is necessary. We aimed to find a quantitative and feasible model for discriminating the FLD, based on plasma free amino acid (PFAA) profiles. We constructed models of the relationship between PFAA levels in 2,000 generally healthy Japanese subjects and the diagnosis of FLD by abdominal ultrasound scan by multiple logistic regression analysis with variable selection. The performance of these models for FLD discrimination was validated using an independent data set of 2,160 subjects. The generated PFAA-based model was able to identify FLD patients. The area under the receiver operating characteristic curve for the model was 0.83, which was higher than those of other existing liver function-associated markers ranging from 0.53 to 0.80. The value of the linear discriminant in the model yielded the adjusted odds ratio (with 95% confidence intervals) for a 1 standard deviation increase of 2.63 (2.14-3.25) in the multiple logistic regression analysis with known liver function-associated covariates. Interestingly, the linear discriminant values were significantly associated with the progression of FLD, and patients with nonalcoholic steatohepatitis also exhibited higher values.

Indexed as

Amino AcidsArea Under CurveBiomarkersComorbidityDiscriminant AnalysisFatty LiverFemaleHumansLinear ModelsMaleMetabolic DiseasesMiddle AgedRisk FactorsROC CurveAmino AcidsBiomarkers

Identifiers

PMID29101348
PMCPMC5670226
OpenAlexW2765675184

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.