Evidence map›Paper›PMID 27015443›Full record

ArticleDiagnostic and interventional radiology (Ankara, Turkey)

Influence of cigarette smoking on white matter in patients with clinically isolated syndrome as detected by diffusion tensor imaging.

Gamze Durhan, Sevda Diker, Arzu Ceylan Has, Jale Karakaya, Asli Tuncer Kurne, Kader Karli Oguz

Open access · greenAbstract read
In one paragraph

Article in Diagnostic and interventional radiology (Ankara, Turkey). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 30% 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, 4 citations in OpenAlex.

  1. Article
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

6 authors at 3 institutions in 1 country.

Gamze DurhanDepartment of Radiology, Ministry of Health Ankara Training and Research Hospital, Ankara, Turkey. karlioguz@yahoo.com.
Sevda Diker
Arzu Ceylan Has
Jale Karakaya
Asli Tuncer Kurne
Kader Karli Oguz
Hacettepe University · TRMinistry of Health · TRBilkent University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeCigarette smoking has been associated with increased occurrence of multiple sclerosis (MS), as well as clinical disability and disease progression in MS. We aimed to assess the effects of smoking on the white matter (WM) in patients with clinically isolated syndrome (CIS) using diffusion tensor imaging.

methodsSmoker patients with CIS (n=16), smoker healthy controls (n=13), nonsmoker patients with CIS (n=17) and nonsmoker healthy controls (n=14) were included. Thirteen regions-of-interest including nonenhancing T1 hypointense lesion and perilesional WM, and 11 normal-appearing white matter (NAWM) regions were drawn on color-coded fractional anisotropy (FA) maps. Lesion load was determined in terms of number and volume of WM hyperintensities.

resultsA tendency towards greater lesion load was found in smoker patients. T1 hypointense lesions and perilesional WM had reduced FA and increased mean diffusivity to a similar degree in smoker and nonsmoker CIS patients. Compared with healthy smokers, smoker CIS patients had more extensive NAWM changes shown by increased mean diffusivity. There was no relationship between diffusion metrics and clinical disability scores, duration of the disease and degree of smoking exposure.

conclusionSmoker patients showed a tendency towards having greater number of WM lesions and displayed significantly more extensive NAWM abnormalities.

Indexed as

AdultCase-Control StudiesDemyelinating DiseasesDiffusion Tensor ImagingDisease ProgressionFemaleHumansMaleMiddle AgedSmokingWhite MatterYoung Adult

Identifiers

PMID27015443
PMCPMC4859748
OpenAlexW2305994183

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.