Evidence map›Paper›PMID 40097497›Full record

ArticleScientific reports2025

Triglyceride/high density lipoprotein cholesterol index and future cardiovascular events in diabetic patients without known cardiovascular disease.

Ryosuke Nakashima, Shota Ikeda, Keisuke Shinohara, Sho Matsumoto, Daisuke Yoshida, Yoshiyasu Ono, Hiroka Nakashima, Ryohei Miyamoto, Shouji Matsushima, Junji Kishimoto and 4 more

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
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

14 authors.

Ryosuke Nakashima *Department of Cardiovascular Medicine, Faculty of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-Ku, Fukuoka, 812-8582, Japan.
Shota Ikeda *Department of Cardiovascular Medicine, Faculty of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-Ku, Fukuoka, 812-8582, Japan.
Keisuke ShinoharaDepartment of Cardiovascular Medicine, Faculty of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-Ku, Fukuoka, 812-8582, Japan. shinohara.keisuke.727@m.kyushu-u.ac.jp.
Sho MatsumotoDepartment of Cardiovascular Medicine, Faculty of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-Ku, Fukuoka, 812-8582, Japan.
Daisuke YoshidaDepartment of Cardiovascular Medicine, Faculty of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-Ku, Fukuoka, 812-8582, Japan.
Yoshiyasu OnoDepartment of Cardiovascular Medicine, Faculty of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-Ku, Fukuoka, 812-8582, Japan.
Hiroka NakashimaDepartment of Cardiovascular Medicine, Faculty of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-Ku, Fukuoka, 812-8582, Japan.
Ryohei MiyamotoDepartment of Cardiovascular Medicine, Faculty of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-Ku, Fukuoka, 812-8582, Japan.
Shouji MatsushimaDepartment of Cardiovascular Medicine, Faculty of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-Ku, Fukuoka, 812-8582, Japan.
Junji KishimotoCenter for Clinical and Translational Research, Kyushu University Hospital, Fukuoka, Japan.
Hiroshi ItohCenter for Preventive Medicine, School of Medicine, Keio University, Tokyo, Japan.
Issei KomuroDepartment of Frontier Cardiovascular Science, The University of Tokyo Graduate School of Medicine, Tokyo, Japan.
Hiroyuki TsutsuiDepartment of Cardiovascular Medicine, Faculty of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-Ku, Fukuoka, 812-8582, Japan.
Kohtaro AbeDepartment of Cardiovascular Medicine, Faculty of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-Ku, Fukuoka, 812-8582, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The triglyceride/high-density lipoprotein cholesterol (TG/HDL-C) index, calculated as TG divided by HDL-C, has been suggested as a predictor of cardiovascular disease (CVD). We investigated the association between the TG/HDL-C index and CVD events in type 2 diabetes mellitus (T2DM) patients with retinopathy and hyperlipidemia but no known CVD, enrolled in the EMPATHY study, which compared intensive and standard statin therapy (targeting LDL-C levels < 70 mg/dL and ≥ 100 to < 120 mg/dL, respectively). A total of 4665 patients were divided into high (TG/HDL-C ≥ 2.5, n = 2013) and low (TG/HDL-C < 2.5, n = 2652) TG/HDL-C index groups. During a median follow-up of 36.8 months, 260 CVD events occurred. The high TG/HDL-C index group had higher CVD risk than the low group (HR 1.89, 95% CI 1.45-2.47, p < 0.001). This association remained consistent across subgroups. A trend toward interaction between TG/HDL-C index and statin treatment allocation for CVD risk was observed (p for interaction = 0.062). Intensive statin treatment reduced CVD risk in the high TG/HDL-C group but not in the low group. In conclusion, a TG/HDL-C index ≥ 2.5 was associated with higher CVD risk in T2DM patients with retinopathy and hyperlipidemia without a history of CVD. The TG/HDL-C index may identify patients who benefit from intensive statin treatment.

Indexed as

Cardiovascular DiseasesCholesterol, HDLDiabetes Mellitus, Type 2TriglyceridesAgedFemaleHumansHydroxymethylglutaryl-CoA Reductase InhibitorsHyperlipidemiasMaleMiddle AgedRisk FactorsCholesterol, HDLHydroxymethylglutaryl-CoA Reductase InhibitorsTriglyceridesDiabetesDyslipidemiaHigh-density lipoprotein cholesterolStatinTriglyceride

Identifiers

PMID40097497
PMCPMC11914472

What OpenQuestion holds

Texttitle and abstract
LicenceCC BY-NC-ND
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.