Evidence map›Paper›PMID 29491417›Full record

ArticleHypertension research : official journal of the Japanese Society of Hypertension2018

Clinical significance of an elevated ankle-brachial index differs depending on the amount of appendicular muscle mass: the J-SHIPP and Nagahama studies.

Yasuharu Tabara, Michiya Igase, Kazuya Setoh, Takahisa Kawaguchi, Yoko Okada, Maya Ohara, Yoshimitsu Takahashi, Shinji Kosugi, Yasumasa Ohyagi, Tetsuro Miki and 4 more

Abstract read
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In one paragraph

Article in Hypertension research : official journal of the Japanese Society of Hypertension, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

5 citing papers in PubMed, 14 citations in OpenAlex.

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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 at 2 institutions in 1 country.

Yasuharu TabaraCenter for Genomic Medicine, Kyoto University Graduate School of Medicine, Sakyo-ku, Kyoto, 606-8507, Japan. tabara@genome.med.kyoto-u.ac.jp.
Michiya IgaseDepartment of Geriatric Medicine, Ehime University Graduate School of Medicine, Toon-city, Ehime, 791-0295, Japan.
Kazuya SetohCenter for Genomic Medicine, Kyoto University Graduate School of Medicine, Sakyo-ku, Kyoto, 606-8507, Japan.
Takahisa KawaguchiCenter for Genomic Medicine, Kyoto University Graduate School of Medicine, Sakyo-ku, Kyoto, 606-8507, Japan.
Yoko OkadaDepartment of Geriatric Medicine, Ehime University Graduate School of Medicine, Toon-city, Ehime, 791-0295, Japan.
Maya OharaDepartment of Geriatric Medicine, Ehime University Graduate School of Medicine, Toon-city, Ehime, 791-0295, Japan.
Yoshimitsu TakahashiDepartment of Health Informatics, Kyoto University School of Public Health, Sakyo-ku, Kyoto, 606-8501, Japan.
Shinji KosugiDepartment of Medical Ethics and Medical Genetics, Kyoto University School of Public Health, Sakyo-ku, Kyoto, 606-8501, Japan.
Yasumasa OhyagiDepartment of Geriatric Medicine, Ehime University Graduate School of Medicine, Toon-city, Ehime, 791-0295, Japan.
Tetsuro MikiCenter for Genomic Medicine, Kyoto University Graduate School of Medicine, Sakyo-ku, Kyoto, 606-8507, Japan.
Takeo NakayamaDepartment of Health Informatics, Kyoto University School of Public Health, Sakyo-ku, Kyoto, 606-8501, Japan.
Katsuhiko KoharaDepartment of Regional Resource Management, Faculty of Collaborative Regional Innovation, Ehime University, Matsuyama, Ehime, 790-8577, Japan.
Fumihiko MatsudaCenter for Genomic Medicine, Kyoto University Graduate School of Medicine, Sakyo-ku, Kyoto, 606-8507, Japan.
J-SHIPP and Nagahama study groups
Kyoto University · JPEhime University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Clinical implication of a high ankle-brachial index (ABI) is not well known. Based on our previous study, we suspected that body composition may be a determinant of a high ABI and may consequently modulate the clinical significance of a high ABI. Datasets of two studies with independent cohorts, the anti-aging study cohort (n = 1765) and the Nagahama study cohort (n = 8,039), were analyzed in this study, in which appendicular muscle mass was measured by computed tomography and bioelectrical impedance analysis, respectively. Brachial and ankle blood pressures were measured using a cuff-oscillometric method. In the anti-aging study cohort, thigh muscle area (β = 0.387, p < 0.001), but not fat area, showed a strong positive association with the ABI independent of the body mass index (p = 0.662) and other possible covariates, including systolic brachial blood pressure (p = 0.054), carotid hypertrophy (p = 0.559), and arterial stiffness (β = 0.102, p = 0.001). This positive association was replicated in the Nagahama cohort. When the subjects were subdivided by the 75th percentiles of the ABI and appendicular muscle mass, multinomial logistic regression analysis identified insulin resistance as an independent determinant of an elevated ABI in subjects with normal muscle mass (coefficient = 0.134, p = 0.010), whereas insulin resistance was inversely associated with an elevated ABI in subjects with high muscle mass (coefficient = -0.268, p = 0.001). Appendicular muscle mass was a strong determinant of the ABI. The clinical background, particularly insulin resistance, of individuals with an elevated ABI may differ based on the amount of muscle mass.

Indexed as

Ankle Brachial IndexAdipose TissueAdultAgedAgingCardiomegalyCarotid Intima-Media ThicknessCohort StudiesElectric ImpedanceFemaleHumansInsulin ResistanceJapanLongitudinal StudiesMaleMiddle Aged

Identifiers

PMID29491417
OpenAlexW2790951879

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.