Evidence map›Paper›PMID 24971671›Full record

ArticlePloS one2014

Predictive properties of plasma amino acid profile for cardiovascular disease in patients with type 2 diabetes.

Shinji Kume, Shin-ichi Araki, Nobukazu Ono, Atsuko Shinhara, Takahiko Muramatsu, Hisazumi Araki, Keiji Isshiki, Kazuki Nakamura, Hiroshi Miyano, Daisuke Koya and 6 more

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 14% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 47 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Large-Scale Metabolomics and the Incidence of Cardiovascular Disease.Journal of the American Heart Association · 2023
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  7. Review
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  9. Article
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  14. Metabolomic Pattern Predicts Incident Coronary Heart Disease.Arteriosclerosis, thrombosis, and vascular biology · 2019
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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

16 authors at 4 institutions in 1 country.

Shinji KumeDepartment of Medicine, Shiga University of Medical Science, Otsu, Shiga, Japan.
Shin-ichi ArakiDepartment of Medicine, Shiga University of Medical Science, Otsu, Shiga, Japan.
Nobukazu OnoInstitute for Innovation, Ajinomoto Co., Inc., Kawasaki, Kanagawa, Japan.
Atsuko ShinharaInstitute for Innovation, Ajinomoto Co., Inc., Kawasaki, Kanagawa, Japan.
Takahiko MuramatsuInstitute for Innovation, Ajinomoto Co., Inc., Kawasaki, Kanagawa, Japan.
Hisazumi ArakiDepartment of Medicine, Shiga University of Medical Science, Otsu, Shiga, Japan.
Keiji IsshikiDepartment of Medicine, Shiga University of Medical Science, Otsu, Shiga, Japan.
Kazuki NakamuraInstitute for Innovation, Ajinomoto Co., Inc., Kawasaki, Kanagawa, Japan.
Hiroshi MiyanoInstitute for Innovation, Ajinomoto Co., Inc., Kawasaki, Kanagawa, Japan.
Daisuke KoyaDivision of Diabetology & Endocrinology, Kanazawa Medical University, Kahoku-Gun, Ishikawa, Japan.
Masakazu HanedaDivision of Metabolism and Biosystemic Science, Department of Medicine, Asahikawa Medical University, Asahikawa, Hokkaido, Japan.
Satoshi UgiDepartment of Medicine, Shiga University of Medical Science, Otsu, Shiga, Japan.
Hiromichi KawaiDepartment of Medicine, Shiga University of Medical Science, Otsu, Shiga, Japan.
Atsunori KashiwagiDepartment of Medicine, Shiga University of Medical Science, Otsu, Shiga, Japan.
Takashi UzuDepartment of Medicine, Shiga University of Medical Science, Otsu, Shiga, Japan.
Hiroshi MaegawaDepartment of Medicine, Shiga University of Medical Science, Otsu, Shiga, Japan.
Shiga University of Medical Science · JPAjinomoto (Japan) · JPAsahikawa Medical University · JPKanazawa Medical University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prevention of cardiovascular disease (CVD) is an important therapeutic object of diabetes care. This study assessed whether an index based on plasma free amino acid (PFAA) profiles could predict the onset of CVD in diabetic patients. The baseline concentrations of 31 PFAAs were measured with high-performance liquid chromatography-electrospray ionization-mass spectrometry in 385 Japanese patients with type 2 diabetes registered in 2001 for our prospective observational follow-up study. During 10 years of follow-up, 63 patients developed cardiovascular composite endpoints (myocardial infarction, angina pectoris, worsening of heart failure and stroke). Using the PFAA profiles and clinical information, an index (CVD-AI) consisting of six amino acids to predict the onset of any endpoints was retrospectively constructed. CVD-AI levels were significantly higher in patients who did than did not develop CVD. The area under the receiver-operator characteristic curve of CVD-AI (0.72 [95% confidence interval (CI): 0.64-0.79]) showed equal or slightly better discriminatory capacity than urinary albumin excretion rate (0.69 [95% CI: 0.62-0.77]) on predicting endpoints. A multivariate Cox proportional hazards regression analysis showed that the high level of CVD-AI was identified as an independent risk factor for CVD (adjusted hazard ratio: 2.86 [95% CI: 1.57-5.19]). This predictive effect of CVD-AI was observed even in patients with normoalbuminuria, as well as those with albuminuria. In conclusion, these results suggest that CVD-AI based on PFAA profiles is useful for identifying diabetic patients at risk for CVD regardless of the degree of albuminuria, or for improving the discriminative capability by combining it with albuminuria.

Indexed as

AgedAmino AcidsBiomarkersCardiovascular DiseasesCase-Control StudiesDiabetes Mellitus, Type 2FemaleHumansMaleMiddle AgedPredictive Value of TestsAmino AcidsBiomarkers

Identifiers

PMID24971671
PMCPMC4074128
OpenAlexW2015048883

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.