Evidence map›Paper›PMID 34462827›Full record

ArticleActa diabetologica2022

Different impacts of metabolic profiles on future risk of cardiovascular disease between diabetes with and without established cardiovascular disease: the Japan diabetes complication and its prevention prospective study 7 (JDCP study 7).

Mitsuyoshi Takahara, Naoto Katakami, Yasuaki Hayashino, Rimei Nishimura, Hiroaki Suzuki, Hitoshi Shimano, Narihito Yoshioka, Naoko Tajima, Yoshimitsu Yamasaki

Erratum issuedOpen access · hybridAbstract readMulticenter Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Acta diabetologica, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.4field-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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Diabetes mellitus and peripheral artery disease.Diabetology international · 2025
    Review
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 6 institutions in 1 country.

Mitsuyoshi TakaharaDepartment of Diabetes Care Medicine, Osaka University Graduate School of Medicine, 2-2 Yamadaoka, Suita City, Osaka, 565-0871, Japan.
Naoto KatakamiDepartment of Metabolic Medicine, Osaka University Graduate School of Medicine, 2-2 Yamadaoka, Suita City, Osaka, 565-0871, Japan. katakami@endmet.med.osaka-u.ac.jp.ORCID http://orcid.org/0000-0001-9020-8320
Yasuaki HayashinoDepartment of Endocrinology, Tenri Hospital, 200 Mishimacho, Tenri City, Nara, 632-8552, Japan.
Rimei NishimuraDepartment of Diabetes, Metabolism and Endocrinology, Jikei University School of Medicine, 3-25-8 Nishi-Shimbashi, Minato-ku, Tokyo, 105-8461, Japan.
Hiroaki SuzukiDepartment of Endocrinology and Metabolism, Faculty of Medicine, University of Tsukuba, 1-1-1 Tennodai, Tsukuba City, Ibaraki, 305-8575, Japan.
Hitoshi ShimanoDepartment of Endocrinology and Metabolism, Faculty of Medicine, University of Tsukuba, 1-1-1 Tennodai, Tsukuba City, Ibaraki, 305-8575, Japan.
Narihito YoshiokaNTT-East Sapporo Hospital, Minami 1 Jyo Nishi 15 Chome Chuo-Ku, Sapporo City, Hokkaido, 060-0061, Japan.
Naoko TajimaOtemachi Place Medical Clinic, 2-3-1, Otemachi, Chiyoda-ku, Tokyo, 100-0004, Japan.
Yoshimitsu YamasakiNishi-Umeda Clinic, 3-3-45 Umeda, Kita-ku, Osaka City, Osaka, 530-0001, Japan.
The University of Osaka · JPUniversity of Tsukuba · JPJikei University School of Medicine · JPOsaka Nishi Clinic · JPSapporo Minami Hospital · JPTenri Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsMost risk calculators that predict future cardiovascular disease (CVD) by baseline profiles are originally developed for primary prevention, but some studies applied the calculators to secondary prevention. We compared the impact of baseline profiles on the future CVD risk between patients with diabetes with and without a CVD history.

methodsWe analyzed a multicenter prospective cohort of 6338 Japanese patients with diabetes aged 40-74 years, including those with (n = 634) and without a CVD history (n = 5704). The future risk of CVD was investigated using the competing risk model, with adjustment for non-cardiovascular mortality.

resultsDuring the median follow-up of 6.9 years, 413 CVD events were observed. The 8-year cumulative incidence rates of CVD were 21.5% and 7.2% in patients with and without a CVD history, respectively. A higher systolic blood pressure and lower high-density lipoprotein cholesterol levels were independently associated with a future CVD risk in patients without a CVD history (both P < 0.05), whereas they were not associated in those with a CVD history. The P values for interaction were 0.040 and 0.005, respectively. The male sex, an older age, a longer duration of diabetes, higher hemoglobin A1c levels, and higher low-density lipoprotein cholesterol levels were common independent risk factors regardless of CVD history (all P < 0.05).

conclusionsThe prognostic impact of metabolic profiles on CVD risk would not be identical between patients with and without a CVD history, suggesting that it might be inappropriate to apply CVD risk calculators developed for primary prevention to patients with a CVD history.

Indexed as

Cardiovascular DiseasesDiabetes ComplicationsDiabetes MellitusAgedHumansJapanMaleMetabolomeProspective StudiesRisk FactorsFuture risk of cardiovascular diseaseHistory of cardiovascular diseaseInteraction effectMetabolic profile

Identifiers

PMID34462827
PMCPMC8758607
OpenAlexW4206489325

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.