Evidence map›Paper›PMID 39101183›Full record

ArticleDiabetology international2024

Impact of health practice index and cardiovascular health metrics on incident cardiovascular disease according to glucose tolerance status.

Koshiro Murai, Kazuya Fujihara, Mayuko Harada Yamada, Yasuhiro Matsubayashi, Takaho Yamada, Midori Iwanaga, Masaru Kitazawa, Masahiko Yamamoto, Taeko Osawa, Yuta Yaguchi and 2 more

Abstract read
In one paragraph

Article in Diabetology international, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

12 authors.

Koshiro MuraiDepartment of Internal Medicine, Faculty of Medicine, Niigata University, 1-757 Asahimachi, Niigata, 951-8510 Japan.
Kazuya FujiharaDepartment of Internal Medicine, Faculty of Medicine, Niigata University, 1-757 Asahimachi, Niigata, 951-8510 Japan.
Mayuko Harada YamadaDepartment of Internal Medicine, Faculty of Medicine, Niigata University, 1-757 Asahimachi, Niigata, 951-8510 Japan.
Yasuhiro MatsubayashiDepartment of Internal Medicine, Faculty of Medicine, Niigata University, 1-757 Asahimachi, Niigata, 951-8510 Japan.
Takaho YamadaDepartment of Internal Medicine, Faculty of Medicine, Niigata University, 1-757 Asahimachi, Niigata, 951-8510 Japan.
Midori IwanagaDepartment of Internal Medicine, Faculty of Medicine, Niigata University, 1-757 Asahimachi, Niigata, 951-8510 Japan.
Masaru KitazawaDepartment of Internal Medicine, Faculty of Medicine, Niigata University, 1-757 Asahimachi, Niigata, 951-8510 Japan.
Masahiko YamamotoDepartment of Internal Medicine, Faculty of Medicine, Niigata University, 1-757 Asahimachi, Niigata, 951-8510 Japan.
Taeko OsawaDepartment of Internal Medicine, Faculty of Medicine, Niigata University, 1-757 Asahimachi, Niigata, 951-8510 Japan.
Yuta YaguchiDepartment of Internal Medicine, Faculty of Medicine, Niigata University, 1-757 Asahimachi, Niigata, 951-8510 Japan.
Satoru KodamaDepartment of Internal Medicine, Faculty of Medicine, Niigata University, 1-757 Asahimachi, Niigata, 951-8510 Japan.
Hirohito SoneDepartment of Internal Medicine, Faculty of Medicine, Niigata University, 1-757 Asahimachi, Niigata, 951-8510 Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aims: To evaluate and compare the association of incident cardiovascular disease (CVD) with the Health Practice Index (HPI) reflecting only lifestyle habits and Ideal Cardiovascular Health Metrics (ICVHMs) consisting of lifestyle habits and factors targeted for control in the same population according to glucose status. Methods: This retrospective cohort study included 1,28,162 participants aged 18-72 years with no history of CVD followed for ≥ 3 years between 2008 and 2016. Participants were classified according to normal glucose tolerance (86,174), prediabetes (36,096), or diabetes (5892). HPI and ICVHMs scores were classified into three groups (high/medium/low). Multivariate Cox regression hazard analysis examined CVD risk. Results: During a mean follow-up of 5.2 years, 1057 CVD events occurred. In prediabetes, CVD risk was significantly higher in groups with both medium and low HPI scores and ICVHMs scores compared to high scores for normal glucose tolerance (hazard ratios [HRs] for high/medium/low HPI scores were 0.95 [0.78-1.17], 1.56 [1.29-1.89], and 2.41 [1.74-3.34] and for ICVHMs scores were 0.74 [0.50-1.11], 1.58 [1.26-1.98], and 2.63 [2.10-3.31], respectively). Regarding diabetes, compared with high HPI/ICVHMs scores in the normal glucose tolerance group, a significantly increased CVD risk was observed in the high-score HPI group, but not in the high-score ICVHMs group (HPI high/medium/low HR, 1.63 [1.22-2.18], 2.19 [1.69-2.83], and 2.26 [1.34 -3.83]; ICVHMs high/medium/low HR, 1.14 [0.47-2.81], 2.38 [1.75-3.23], and 3.31 [2.50-4.38], respectively). Conclusions: In diabetes, ideal lifestyle practices alone were insufficient for primary prevention of CVD but had a greater impact on primary prevention of CVD in prediabetes. Supplementary Information: The online version contains supplementary material available at 10.1007/s13340-024-00708-7.

Indexed as

Cardiovascular diseaseCardiovascular health metricsGlucose tolerance statusLifestyle

Identifiers

PMID39101183
PMCPMC11291790

What OpenQuestion holds

Textmetadata
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.