Evidence map›Paper›PMID 30581327›Full record

ArticleJournal of medical biochemistry2017

Is there a Real Correlation between Red Cell Distribution Width and Peripheral Arterial Disease?

Enes Duman, Sevsen Kulaksızoglu, Egemen Çifçi, Mehmet Ozulku

Open access · diamondAbstract read
In one paragraph

Article in Journal of medical biochemistry, 2017. 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
1.2field-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, 8 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

4 authors at 1 institution in 1 country.

Enes DumanDepartment of Radiology, Bașkent University School of Medicine, Konya, Turkey.
Sevsen KulaksızogluDepartment of Biochemistry, Bașkent University School of Medicine, Konya, Turkey.
Egemen ÇifçiDepartment of Radiology, Bașkent University School of Medicine, Konya, Turkey.
Mehmet OzulkuDepartment of Cardiovascular Surgery, Bașkent University School of Medicine, Konya, Turkey.
Başkent University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFew data is available concerning the association between peripheral arterial disease (PAD) and red cell distribution width (RDW). In this study, we analyzed the relationship between RDW and atherosclerosis of the vessels other than coronary arteries in patients who had undergone digital substraction angiography (DSA).

methodsThis study included 730 patients who had undergone DSA. Patients were divided into two groups according to their angiographic images. The association between RDW and atherosclerosis of peripheral arteries was analyzed. The relationship between atherosclerosis and smoking, hypertension (HT), diabetes mellitus (DM), hs-CRP, hemoglobin, white blood cell (WBC), triglyceride, total cholesterol, HDL and LDL cholesterol levels was assessed.

resultsAtherosclerosis was observed more common in male and patients with older age, HT, DM and smoking (p<0.001). hs-CRP and WBC levels were both in significantly positive association with atherosclerosis (p<0.05). However, there were no significant differences in the RDW levels, hemoglobin, triglyceride, total cholesterol, LDL and HDL cholesterol levels in the groups (p>0.05).

conclusionOur results seem to demonstrate that older age, male gender, HT, DM and smoking are powerful risk factors for PAD. In contrast to the previous reports, RDW levels are found not to be associated with atherosclerosis of peripheral arteries.

Indexed as

atherosclerosisdigital substraction angiographyperipheral arterial diseasered blood cell distribution width

Identifiers

PMID30581327
PMCPMC6294085
OpenAlexW2625401213

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.