Evidence map›Paper›PMID 34866070›Full record

ArticleJournal of atherosclerosis and thrombosis2022

Incorporation of Retinal Arteriolosclerosis into Risk Stratification of Blood Pressure Category According to the 2017 ACC/AHA Blood Pressure Guideline.

Satoshi Matsuoka, Hidehiro Kaneko, Tatsuya Kamon, Yuta Suzuki, Yuichiro Yano, Akira Okada, Hidetaka Itoh, Kojiro Morita, Akira Fukui, Katsuhito Fujiu and 10 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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 41% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

20 authors at 6 institutions in 2 countries.

Satoshi MatsuokaThe Department of Cardiovascular Medicine, The University of Tokyo.
Hidehiro KanekoThe Department of Cardiovascular Medicine, The University of Tokyo.
Tatsuya KamonThe Department of Cardiovascular Medicine, The University of Tokyo.
Yuta SuzukiThe Department of Cardiovascular Medicine, The University of Tokyo.
Yuichiro YanoYCU Center for Novel and Exploratory Clinical Trials, Yokohama City University Hospital.
Akira OkadaDepartment of Prevention of Diabetes and Lifestyle-Related Diseases, Graduate School of Medicine, The University of Tokyo.
Hidetaka ItohThe Department of Cardiovascular Medicine, The University of Tokyo.
Kojiro MoritaGlobal Nursing Research Center, Graduate School of Medicine, the University of Tokyo.
Akira FukuiDivision of Nephrology and Hypertension, Department of Internal Medicine, Jikei University School of Medicine.
Katsuhito FujiuThe Department of Cardiovascular Medicine, The University of Tokyo.
Nobuaki MichihataThe Department of Health Services Research, The University of Tokyo.
Taisuke JoThe Department of Health Services Research, The University of Tokyo.
Norifumi TakedaThe Department of Cardiovascular Medicine, The University of Tokyo.
Hiroyuki MoritaThe Department of Cardiovascular Medicine, The University of Tokyo.
Sunao NakamuraThe Department of Cardiology, New Tokyo Hospital.
Takashi YokooDivision of Nephrology and Hypertension, Department of Internal Medicine, Jikei University School of Medicine.
Akira NishiyamaDepartment of Pharmacology, Faculty of Medicine, Kagawa University.
Koichi NodeDepartment of Cardiovascular Medicine, Saga University.
Hideo YasunagaThe Department of Clinical Epidemiology and Health Economics, School of Public Health, The University of Tokyo.
Issei KomuroThe Department of Cardiovascular Medicine, The University of Tokyo.
The University of Tokyo · JPNew Tokyo Hospital · JPJikei University School of Medicine · JPDuke University Health System · USKagawa University · JPSaga University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimWe investigated whether retinal arteriolosclerosis (RA) could be used for cardiovascular disease (CVD) risk stratification of individuals categorized according to the 2017 American College of Cardiology (ACC)/American Heart Association (AHA) Blood Pressure (BP) guideline.

methodsWe studied 291,522 participants without a history of CVD and not taking any BP-lowering medications from the JMDC Claims Database. RA was defined as Keith-Wagener-Barker system grade ≥ 1. Each participant was classified into one of the six groups: (1) normal or elevated BP without RA, (2) normal or elevated BP with RA, (3) stage 1 hypertension without RA, (4) stage 1 hypertension with RA, (5) stage 2 hypertension without RA, and (6) stage 2 hypertension with RA.

resultsMedian (interquartile range) age was 46 (40-53) years, and 141,397 (48.5%) of the participants were men. During a mean follow-up of 1,223±830 days, 527 myocardial infarction (MI), 5,718 angina pectoris, 2,890 stroke, and 5,375 heart failure (HF) events occurred. Multivariable Cox regression analyses revealed that the risk of CVD increased with BP category, and this association was pronounced by the presence of RA. Compared with normal or elevated BP without RA, the hazard ratios (HRs) for MI (HR 1.17, 95% CI 0.93-1.47) were higher in stage 1 hypertension without RA. The HRs for MI further increased in stage 1 hypertension with RA (1.86 [1.17-2.95]). This association was present in stroke and HF.

conclusionIncorporation of the assessment for RA may facilitate the CVD risk stratification of people classified based on the 2017 ACC/AHA BP guideline, particularly for those categorized in stage 1 hypertension.

Indexed as

ArteriolosclerosisCardiologyHeart FailureHypertensionMyocardial InfarctionStrokeBlood PressureFemaleHumansMaleMiddle AgedRisk AssessmentRisk FactorsUnited StatesCardiovascular diseaseHypertensionRetinal arteriolosclerosisRisk

Identifiers

PMID34866070
PMCPMC9529405
OpenAlexW4200221506

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.