Evidence map›Paper›PMID 27880852›Full record

Trial reportPloS one2016

Clinical Characteristics and Outcomes of Patients with High Ankle-Brachial Index from the IMPACT-ABI Study.

Hitoshi Nishimura, Takashi Miura, Masatoshi Minamisawa, Yasushi Ueki, Naoyuki Abe, Naoto Hashizume, Tomoaki Mochidome, Mikiko Harada, Kunihiko Shimizu, Wataru Shoin and 8 more

Abstract readClinical TrialComparative Study
In one paragraph

Trial report in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–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

9 citing papers in PubMed.

  1. Article
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  3. Review
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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

18 authors.

Hitoshi NishimuraDepartment of Cardiovascular Medicine, Shinshu University School of Medicine, Matsumoto, Japan.
Takashi MiuraDepartment of Cardiovascular Medicine, Shinshu University School of Medicine, Matsumoto, Japan.
Masatoshi MinamisawaDepartment of Cardiovascular Medicine, Shinshu University School of Medicine, Matsumoto, Japan.
Yasushi UekiDepartment of Cardiovascular Medicine, Shinshu University School of Medicine, Matsumoto, Japan.
Naoyuki AbeDepartment of Cardiovascular Medicine, Shinshu University School of Medicine, Matsumoto, Japan.
Naoto HashizumeDepartment of Cardiovascular Medicine, Shinshu University School of Medicine, Matsumoto, Japan.
Tomoaki MochidomeDepartment of Cardiovascular Medicine, Shinshu University School of Medicine, Matsumoto, Japan.
Mikiko HaradaDepartment of Cardiovascular Medicine, Shinshu University School of Medicine, Matsumoto, Japan.
Kunihiko ShimizuDepartment of Cardiovascular Medicine, Shinshu University School of Medicine, Matsumoto, Japan.
Wataru ShoinDepartment of Cardiovascular Medicine, Shinshu University School of Medicine, Matsumoto, Japan.
Koji YoshieDepartment of Cardiovascular Medicine, Shinshu University School of Medicine, Matsumoto, Japan.
Yasutaka OguchiDepartment of Cardiovascular Medicine, Shinshu University School of Medicine, Matsumoto, Japan.
Soichiro EbisawaDepartment of Cardiovascular Medicine, Shinshu University School of Medicine, Matsumoto, Japan.
Hirohiko MotokiDepartment of Cardiovascular Medicine, Shinshu University School of Medicine, Matsumoto, Japan.
Atsushi IzawaDepartment of Cardiovascular Medicine, Shinshu University School of Medicine, Matsumoto, Japan.
Jun KoyamaDepartment of Cardiovascular Medicine, Shinshu University School of Medicine, Matsumoto, Japan.
Uichi IkedaDepartment of Cardiovascular Medicine, Shinshu University School of Medicine, Matsumoto, Japan.
Koichiro KuwaharaDepartment of Cardiovascular Medicine, Shinshu University School of Medicine, Matsumoto, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundReduced ankle-brachial index (ABI) is a predictor of cardiovascular events. However, the significance of high ABI remains poorly understood. This study aimed to assess the characteristics and outcomes of patients with high ABI.

methodsThe IMPACT-ABI study was a retrospective cohort study that enrolled and examined ABI in 3,131 patients hospitalized for cardiovascular disease between January 2005 and December 2012. From this cohort, 2,419 patients were identified and stratified into two groups: high ABI (> 1.4; 2.6%) and normal ABI (1.0-1.4; 97.3%). The primary endpoint was the cumulative incidence of major adverse cardiovascular events (MACE), including cardiovascular-associated death, myocardial infarction, and stroke.

resultsCompared with the normal ABI group, patients in the high ABI group showed significantly lower body mass index (BMI) and hemoglobin level, but had higher incidence of chronic kidney disease and hemodialysis. Multivariate logistic regression analysis revealed that hemodialysis was the strongest predictor of high ABI (odds ratio, 6.18; 95% confidence interval (CI), 3.05-12.52; P < 0.001). During the follow-up (median, 4.7 years), 172 cases of MACE occurred. Cumulative MACE incidence in patients with high ABI was significantly increased compared to that in those with normal ABI (32.5% vs. 14.5%; P = 0.005). In traditional cardiovascular risk factors-adjusted multivariate Cox proportional hazard analysis, high ABI was an independent predictor of MACE (hazard ratio, 2.07; 95% CI, 1.02-4.20; P = 0.044).

conclusionLower BMI, chronic kidney disease, and hemodialysis are more frequent in patients with high ABI. Hemodialysis is the strongest predictor of high ABI. High ABI is a parameter that independently predicts MACE.

Indexed as

Ankle Brachial IndexBody Mass IndexAgedFemaleFollow-Up StudiesHumansMaleMiddle AgedMyocardial InfarctionRenal Insufficiency, ChronicRetrospective StudiesStroke

Identifiers

PMID27880852
PMCPMC5120846

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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.