Evidence map›Paper›PMID 29450182›Full record

ArticleInternational journal of cardiology. Heart & vessels2014

Predictive value of neutrophil to lymphocyte ratio for the presence of coronary artery ectasia in patients with aortic aneurysms.

Hiroki Ikenaga, Satoshi Kurisu, Noriaki Watanabe, Takashi Shimonaga, Tadanao Higaki, Toshitaka Iwasaki, Hiroto Utsunomiya, Naoya Mitsuba, Ken Ishibashi, Yoshihiro Dohi and 4 more

Open access · hybridAbstract read
In one paragraph

Article in International journal of cardiology. Heart & vessels, 2014. 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, top 89% 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  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

14 authors at 1 institution in 1 country.

Hiroki IkenagaDepartment of Cardiovascular Medicine, Hiroshima University Graduate School of Biomedical and Health Sciences, Hiroshima, Japan.
Satoshi KurisuDepartment of Cardiovascular Medicine, Hiroshima University Graduate School of Biomedical and Health Sciences, Hiroshima, Japan.
Noriaki WatanabeDepartment of Cardiovascular Medicine, Hiroshima University Graduate School of Biomedical and Health Sciences, Hiroshima, Japan.
Takashi ShimonagaDepartment of Cardiovascular Medicine, Hiroshima University Graduate School of Biomedical and Health Sciences, Hiroshima, Japan.
Tadanao HigakiDepartment of Cardiovascular Medicine, Hiroshima University Graduate School of Biomedical and Health Sciences, Hiroshima, Japan.
Toshitaka IwasakiDepartment of Cardiovascular Medicine, Hiroshima University Graduate School of Biomedical and Health Sciences, Hiroshima, Japan.
Hiroto UtsunomiyaDepartment of Cardiovascular Medicine, Hiroshima University Graduate School of Biomedical and Health Sciences, Hiroshima, Japan.
Naoya MitsubaDepartment of Cardiovascular Medicine, Hiroshima University Graduate School of Biomedical and Health Sciences, Hiroshima, Japan.
Ken IshibashiDepartment of Cardiovascular Medicine, Hiroshima University Graduate School of Biomedical and Health Sciences, Hiroshima, Japan.
Yoshihiro DohiDepartment of Cardiovascular Medicine, Hiroshima University Graduate School of Biomedical and Health Sciences, Hiroshima, Japan.
Yukihiro FukudaDepartment of Cardiovascular Medicine, Hiroshima University Graduate School of Biomedical and Health Sciences, Hiroshima, Japan.
Katsuhiko ImaiDepartment of Cardiovascular Surgery, Hiroshima University Graduate School of Biomedical and Health Sciences, Hiroshima, Japan.
Taijiro SuedaDepartment of Cardiovascular Surgery, Hiroshima University Graduate School of Biomedical and Health Sciences, Hiroshima, Japan.
Yasuki KiharaDepartment of Cardiovascular Medicine, Hiroshima University Graduate School of Biomedical and Health Sciences, Hiroshima, Japan.
Hiroshima University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBoth aortic aneurysms and coronary artery ectasia (CAE) frequently coexist and are associated with more pronounced inflammation. Neutrophil to lymphocyte ratio (NL ratio) is widely used as a marker of inflammation. However, relation between CAE and NL ratio in patients with aortic aneurysms is not fully understood. This study was undertaken to assess relation between CAE and NL ratio in patients with aortic aneurysms.

methodsThis study consisted of 93 consecutive patients with aortic aneurysms (AA group) and 79 patients without aortic aneurysms who had angiographically normal coronary arteries as the control group. Moreover, patients with aortic aneurysms were classified into two groups based on the presence of CAE; CAE (+) group (n = 44) and CAE (-) group (n = 49). We compared blood chemical parameters in both groups.

resultsIn the AA group, 44 patients (47.3%) had CAE. The AA group had a significantly higher NL ratio than the control group (2.93 ± 1.43 vs. 2.45 ± 1.05, p = 0.027). Furthermore, the CAE (+) group had a significantly higher NL ratio than the CAE (-) group (3.39 ± 1.67 vs. 2.52 ± 1.04, p < 0.01). Multivariate logistic regression analysis revealed that the high NL ratio was an independent predictor for CAE in patients with aortic aneurysms (odds ratio 1.76, 95% confidence interval 1.24-2.69, p = 0.001).

conclusionsPatients with aortic aneurysms had a significantly higher NL ratio than those without aortic aneurysms. Furthermore, the NL ratio might predict the presence of CAE in patients with aortic aneurysms.

Indexed as

Aortic aneurysmsCoronary artery ectasiaNeutrophil to lymphocyte ratio

Identifiers

PMID29450182
PMCPMC5801477
OpenAlexW2026851466

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.