Evidence map›Paper›PMID 41145318›Full record

ArticleJournal of diabetes investigation2026

Effect of remnant cholesterol on the onset of diabetes mellitus.

Teruki Miyake, Shinya Furukawa, Ayumi Kanamoto, Osamu Yoshida, Yoshimasa Murakami, Masumi Miyazaki, Akihito Shiomi, Sho Ishikawa, Yuki Numata, Hironobu Nakaguchi and 12 more

Abstract read
In one paragraph

Article in Journal of diabetes investigation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

22 authors.

Teruki MiyakeDepartment of Gastroenterology and Metabology, Ehime University Graduate School of Medicine, Toon, Ehime, Japan.ORCID https://orcid.org/0000-0002-9905-5356
Shinya FurukawaHealth Services Center, Ehime University, Matsuyama, Ehime, Japan.
Ayumi KanamotoDepartment of Gastroenterology and Metabology, Ehime University Graduate School of Medicine, Toon, Ehime, Japan.
Osamu YoshidaDepartment of Gastroenterology and Metabology, Ehime University Graduate School of Medicine, Toon, Ehime, Japan.
Yoshimasa MurakamiDepartment of Gastroenterology and Metabology, Ehime University Graduate School of Medicine, Toon, Ehime, Japan.
Masumi MiyazakiDepartment of Gastroenterology and Metabology, Ehime University Graduate School of Medicine, Toon, Ehime, Japan.
Akihito ShiomiDepartment of Gastroenterology and Metabology, Ehime University Graduate School of Medicine, Toon, Ehime, Japan.
Sho IshikawaDepartment of Gastroenterology and Metabology, Ehime University Graduate School of Medicine, Toon, Ehime, Japan.
Yuki NumataDepartment of Gastroenterology and Metabology, Ehime University Graduate School of Medicine, Toon, Ehime, Japan.
Hironobu NakaguchiDepartment of Lifestyle-Related Medicine and Endocrinology, Ehime University Graduate School of Medicine, Toon, Ehime, Japan.
Yoshiko NakamuraDepartment of Gastroenterology and Metabology, Ehime University Graduate School of Medicine, Toon, Ehime, Japan.
Mitsuhito KoizumiDepartment of Gastroenterology and Metabology, Ehime University Graduate School of Medicine, Toon, Ehime, Japan.
Takao WatanabeDepartment of Gastroenterology and Metabology, Ehime University Graduate School of Medicine, Toon, Ehime, Japan.
Yasunori YamamotoDepartment of Gastroenterology and Metabology, Ehime University Graduate School of Medicine, Toon, Ehime, Japan.
Hirohito MoriDepartment of Gastroenterology and Metabology, Ehime University Graduate School of Medicine, Toon, Ehime, Japan.
Eiji TakeshitaDepartment of Gastroenterology and Metabology, Ehime University Graduate School of Medicine, Toon, Ehime, Japan.
Teru KumagiPost Graduate Medical Education Center, Ehime University Hospital, Toon, Ehime, Japan.
Yoshio IkedaDepartment of Gastroenterology and Metabology, Ehime University Graduate School of Medicine, Toon, Ehime, Japan.
Masanori AbeDepartment of Gastroenterology and Metabology, Ehime University Graduate School of Medicine, Toon, Ehime, Japan.
Bunzo MatsuuraDepartment of Lifestyle-Related Medicine and Endocrinology, Ehime University Graduate School of Medicine, Toon, Ehime, Japan.
Takeru IwataEhime General Health Care Association, Matsuyama, Japan.
Yoichi HiasaDepartment of Gastroenterology and Metabology, Ehime University Graduate School of Medicine, Toon, Ehime, Japan.ORCID https://orcid.org/0000-0003-4117-339X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsHigher levels of remnant cholesterol (Rem-C) are associated with diabetic conditions, serving as a treatment target and surrogate marker for identifying high-risk groups for diabetes mellitus (DM) onset. However, the effect of Rem-C on DM onset based on sex and age remains unclear. We aimed to examine the association between Rem-C levels and DM onset, stratified by sex and age.

methodsIn this health checkup-based retrospective cohort study, we analyzed data from 13,952 participants who underwent medical checkups two or more times at the Ehime General Health Care Association between April 2003 and March 2021, a non-hospital facility where health care services are provided to company employees and local residents. The mean follow-up period was 4.66 years. Cox proportional hazard models were used to assess the association between Rem-C and DM onset.

resultsIn the multivariate analysis, higher Rem-C levels were associated with DM onset in individuals aged <50 years (men: adjusted hazard ratio [aHR] = 1.81, 95% CI: 1.46-2.20; women: aHR = 2.13, 95% CI: 1.18-3.37). However, this association was not observed in those aged ≥50 years. Triglycerides (TG) were also significantly associated with DM onset in younger adults, with slightly higher predictive ability (AUC) than Rem-C, particularly among younger women. Sensitivity analyses using continuous age as a variable showed similar trends.

conclusionsRem-C and TG may be useful predictors of DM onset in younger adults, with TG showing slightly better performance. Age-specific strategies may improve early DM prevention.

Indexed as

BiomarkersCholesterolDiabetes MellitusTriglyceridesAdultAgedAge of OnsetFemaleFollow-Up StudiesHumansLipoproteinsMaleMiddle AgedPrognosisRetrospective StudiesRisk FactorsBiomarkersCholesterolLipoproteinsremnant-like particle cholesterolTriglyceridesGlycated hemoglobinRemnant cholesterolYounger subjects

Identifiers

PMID41145318
PMCPMC12757662

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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.