Evidence mapPaperPMID 36740276Full record

ArticleJournal of atherosclerosis and thrombosis2023

Serum Values of Cholesterol Absorption and Synthesis Biomarkers in Japanese Healthy Subjects: The CACHE Study HEALTHY Analysis.

Yutaka Ishibashi, Hiroshi Yoshida, Kazuhiko Kotani, Yusuke Akiyama, Hisako Fujii, Mariko Harada-Shiba, Tatsuro Ishida, Yasushi Ishigaki, Daijiro Kabata, Yasuki Kihara and 14 more

Open access · diamondAbstract read
In one paragraph

Article in Journal of atherosclerosis and thrombosis, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 33% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Trial
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

24 authors at 13 institutions in 2 countries.

Yutaka IshibashiDepartment of General Medicine, Shimane University Faculty of Medicine.
Hiroshi YoshidaDepartment of Laboratory Medicine, The Jikei University Kashiwa Hospital.
Kazuhiko KotaniDivision of Community and Family Medicine, Jichi Medical University.
Yusuke AkiyamaDepartment of Cardiovascular Medicine, Graduate School of Medical Sciences, Kyushu University.
Hisako FujiiDepartment of Health and Medical Innovation, Osaka Metropolitan University Graduate School of Medicine.
Mariko Harada-ShibaCardiovascular Center, Osaka Medical and Pharmaceutical University.
Tatsuro IshidaDivision of Cardiovascular Medicine, Kobe University Graduate School of Medicine.
Yasushi IshigakiDivision of Diabetes, Metabolism and Endocrinology, Department of Internal Medicine, Iwate Medical University.
Daijiro KabataDepartment of Medical Statistics, Osaka Metropolitan University Graduate School of Medicine.
Yasuki KiharaDepartment of Cardiovascular Medicine, Graduate School of Biomedical and Health Sciences, Hiroshima University.
Satoshi KurisuDepartment of Cardiovascular Medicine, Graduate School of Biomedical and Health Sciences, Hiroshima University.
Daisaku MasudaDepartment of Cardiology, Rinku General Medical Center.
Tetsuya MatobaDepartment of Cardiovascular Medicine, Graduate School of Medical Sciences, Kyushu University.
Kota MatsukiDepartment of Endocrinology and Metabolism, Hirosaki University Graduate School of Medicine.
Takeshi MatsumuraDepartment of Metabolic Medicine, Faculty of Life Sciences, Kumamoto University.
Kenta MoriDepartment of General Internal Medicine, Kobe University Hospital.
Tomoko NakagamiDivision of Diabetology and Metabolism, Department of Internal Medicine, Tokyo Women fs Medical University School of Medicine.
Masamitsu NakazatoDivision of Neurology, Respirology, Endocrinology and Metabolism, Department of Internal Medicine, Faculty of Medicine, University of Miyazaki.
Satsuki TaniuchiDepartment of Medical Statistics, Osaka Metropolitan University Graduate School of Medicine.
Hiroaki UenoDivision of Neurology, Respirology, Endocrinology and Metabolism, Department of Internal Medicine, Faculty of Medicine, University of Miyazaki.
Shizuya YamashitaDepartment of Cardiology, Rinku General Medical Center.
Shozo YanoDepartment of Laboratory Medicine, Shimane University Faculty of Medicine.
Hisako YoshidaDepartment of Medical Statistics, Osaka Metropolitan University Graduate School of Medicine.
Tetsuo ShojiDepartment of Vascular Medicine, Osaka Metropolitan University Graduate School of Medicine.
Osaka Metropolitan UniversityHiroshima University · JPKyushu University · JPShimane University · JPUniversity of Miyazaki · JPHirosaki University · JPIwate Medical University · JPJichi Medical University Hospital · JPKobe University · JPKobe University Hospital · JPKumamoto University · JPOsaka University of Pharmaceutical Sciences · JPTokyo Women's Medical University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimBlood cholesterol absorption and synthesis biomarkers predict cardiovascular risk. This study aimed to determine the values of serum non-cholesterol sterol markers [lathosterol (Latho), campesterol (Campe), and sitosterol (Sito)] in healthy individuals and factors affecting these markers.

methodsThe CACHE Consortium compiled clinical data, including serum Latho (cholesterol synthesis marker), and Campe and Sito (cholesterol absorption markers), by a gas chromatography method in 2944 individuals. Healthy subjects were selected by excluding those with prior cardiovascular disease, diabetes mellitus, hypertension, chronic kidney disease, familial hypercholesterolemia, sitosterolemia, current smokers, those with low (<17 kg/m

resultsOf 479 individuals selected, 59.4% were female; the median age was 48 years in females and 50 years in males. The three markers showed positively skewed distributions, and sex differences were present. Age was associated positively with Latho, inversely with Campe, but not significantly with Sito. BMI was associated positively with Latho, but not significantly with Campe or Sito. High-density lipoprotein cholesterol (HDL-C) was positively associated with Campe and Sito, but not significantly with Latho. Non-HDL-C was positively associated with the three markers.

conclusionOur study results in the healthy subjects help to interpret the non-cholesterol sterol markers for cardiovascular risk assessment in patients with cardiovascular risk factors.

Indexed as

CholesterolEast Asian PeopleBiomarkersFemaleHealthy VolunteersHumansMaleMiddle AgedPhytosterolsSterolsBiomarkersCholesterolPhytosterolsSterolsCampesterolCholesterol metabolismHealthy subjectLathosterolSitosterol

Identifiers

PMID36740276
PMCPMC10564639
OpenAlexW4319293870

What Socratic holds

Textmetadata
LicenceCC BY-NC-SA
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 Socratic graph.