Evidence map›Paper›PMID 28638685›Full record

ArticleEuropean journal of rheumatology2017

Carotid artery stiffness in Behçet's disease.

Servet Yolbaş, Nevzat Gözel, Mustafa Necati Dağlı, Süleyman Serdar Koca, Emir Dönder

Open access · diamondAbstract read
In one paragraph

Article in European journal of rheumatology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 2 pooled it
0.5field-weighted citation impact, top 35% 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 syntheses or guidelines pooled it, 4 citations in OpenAlex.

  1. Pooled it
  2. 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

5 authors at 2 institutions in 1 country.

Servet YolbaşDepartment of Rheumatology, İnönü University School of Medicine, Malatya, Turkey.
Nevzat GözelDepartment of Internal Medicine, Fırat University School of Medicine, Elazığ, Turkey.
Mustafa Necati DağlıDepartment of Cardiology, Fırat University School of Medicine, Elazığ, Turkey.
Süleyman Serdar KocaDepartment of Rheumatology, Fırat University School of Medicine, Elazığ, Turkey.
Emir DönderDepartment of Internal Medicine, Fırat University School of Medicine, Elazığ, Turkey.
Fırat University · TRInonu University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveIncreased carotid arterial stiffness (CAS) is a predictor of subclinical early atherosclerosis as well as carotid intima-media thickness (cIMT). We aimed to determine CAS and cIMT in Behçet's disease (BD). MATERIAL AND

methodsBD (n=49) and rheumatoid arthritis (RA) (n=64) patients and healthy controls (HC) (n=40) were included in the study. cIMT was measured. CAS indices, including arterial compliance (AC), arterial distensibility (AD), Young's elastic modulus (YEM), Peterson's elastic modulus (Ep), and β stiffness index (βSI) were measured based on the diameter-pressure relationship.

resultsWhen compared to the HC group, the mean cIMT was significantly higher in the RA group (p=0.033), but it was not higher in the BD group. The CAS indices, including AD, AC, Ep, and βSI were not significantly different among the study groups. Moreover, the cIMT and CAS indices were not significantly different between active (n=20) and inactive BD patients, and these indices were not correlated with the scores of disease activity. AD, AC and Ep were significantly lower in the BD patients with a positive pathergy reaction than in those with a negative reaction.

conclusionThese results suggest that BD does not directly lead to arterial stiffness or to an increase in cIMT.

Indexed as

arterial stiffnessBehçet’s diseaseintima-media thickness

Identifiers

PMID28638685
PMCPMC5473447
OpenAlexW2625704458

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.