Evidence map›Paper›PMID 34690212›Full record

ArticleJournal of atherosclerosis and thrombosis2022

Non-High-Density Lipoprotein Cholesterol and Risk of Cardiovascular Disease: The Japan Epidemiology Collaboration on Occupational Health Study.

Huan Hu, Ami Fukunaga, Toshitaka Yokoya, Tohru Nakagawa, Toru Honda, Shuichiro Yamamoto, Hiroko Okazaki, Toshiaki Miyamoto, Naoko Sasaki, Takayuki Ogasawara and 11 more

Open access · diamondAbstract read
In one paragraph

Article in Journal of atherosclerosis and thrombosis, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
4.6field-weighted citation impact, top 5% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

21 authors at 12 institutions in 3 countries.

Huan HuDepartment of Public Health, Tokushima University Graduate School of Biomedical Sciences.
Ami FukunagaDepartment of Epidemiology and Prevention, National Center for Global Health and Medicine.
Toshitaka YokoyaMitsubishi Heavy Industries, Ltd.
Tohru NakagawaHitachi Health Care Center, Hitachi, Ltd.
Toru HondaHitachi Health Care Center, Hitachi, Ltd.
Shuichiro YamamotoHitachi Health Care Center, Hitachi, Ltd.
Hiroko OkazakiMitsui Chemicals, Inc.
Toshiaki MiyamotoNIPPON STEEL CORPORATION, EAST NIPPON WORKS Kimitsu Area.
Naoko SasakiMitsubishi Fuso Truck and Bus Corporation.
Takayuki OgasawaraMitsubishi Fuso Truck and Bus Corporation.
Naoki GonmoriEast Japan Works (Keihin), JFE Steel Corporation.
Kenya YamamotoDivision of Chemical Information, National Institute of Occupational Safety and Health.
Ai HoriDepartment of Global Public Health, Faculty of Medicine, University of Tsukuba.
Kentaro TomitaHealthplant Co., Ltd.
Satsue NagahamaAll Japan Labour Welfare Foundation.
Maki KonishiDepartment of Epidemiology and Prevention, National Center for Global Health and Medicine.
Nobumi KatayamaDepartment of Epidemiology and Prevention, National Center for Global Health and Medicine.
Hisayoshi MoriokaDepartment of Public Health, Tokushima University Graduate School of Biomedical Sciences.
Isamu KabeKUBOTA Corporation.
Tetsuya MizoueDepartment of Epidemiology and Prevention, National Center for Global Health and Medicine.
Seitaro DohiMitsui Chemicals, Inc.
Hitachi (Japan) · JPCenter for Global Health · USMitsubishi Fuso Truck and Bus (Japan)Mitsui Chemicals (Germany) · DENational Center for Global Health and Medicine · JPTokushima University · JPKeihin (Japan) · JPKubota (Japan) · JPMitsubishi Heavy Industries (Germany) · DENational Institute of Occupational Safety and Health · JPNippon Steel (Japan) · JPUniversity of Tsukuba · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsWe aimed to investigate the association between non-high-density lipoprotein cholesterol (non-HDL-C) levels and the risk of cardiovascular disease (CVD) and its subtypes.

methodsIn this contemporary cohort study, we analyzed the data of 63,814 Japanese employees aged ≥ 30 years, without known CVD in 2012 and who were followed up for up to 8 years. The non-HDL-C level was divided into 5 groups: <110, 110-129, 130-149, 150-169, and ≥ 170 mg/dL. The Cox proportional hazards model was used to calculate the hazard ratios (HRs) and the corresponding 95% confidence intervals (CIs) for CVD and its subtypes associated with each non-HDL-C group, considering 130-149 mg/dL as the reference group.

resultsDuring the study period, 271 participants developed CVD, including 78 myocardial infarctions and 193 strokes (102 ischemic strokes, 89 hemorrhagic strokes, and 2 unknowns). A U-shaped association between non-HDL-C and stroke was observed. In the analysis of stroke subtypes, the multivariable-adjusted HR (95% CI) for hemorrhagic stroke was 2.61 (1.19-5.72), 2.02 (0.95-4.29), 2.10 (1.01-4.36), and 1.98 (0.96-4.08), while that for ischemic stroke was 1.54 (0.77-3.07), 0.91 (0.46-1.80), 0.73 (0.38-1.41), and 1.50 (0.87-2.56) in the <110, 110-129, 150-169, and ≥ 170 mg/dL groups, respectively. Individuals with elevated non-HDL-C levels had a higher risk of myocardial infarction.

conclusionsHigh non-HDL-C levels were associated with an increased risk of myocardial infarction. Moreover, high and low non-HDL-C levels were associated with a high risk of stroke and its subtypes among Japanese workers.

Indexed as

Cardiovascular DiseasesMyocardial InfarctionOccupational HealthStrokeCholesterolCholesterol, HDLCohort StudiesHumansJapanLipoproteinsRisk FactorsCholesterolCholesterol, HDLlipoprotein cholesterolLipoproteinsMyocardial infarctionNon-high-density lipoprotein cholesterolStroke

Identifiers

PMID34690212
PMCPMC9444673
OpenAlexW3210604167

What OpenQuestion 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 OpenQuestion graph.