Evidence map›Paper›PMID 30214210›Full record

ArticleNeuropsychiatric disease and treatment2018

Investigation of alexithymia and levels of anxiety and depression among patients with restless legs syndrome.

Onur Yilmaz, Yildizhan Şengül, Hakan Serdar Şengül, Fatma Büşra Parlakkaya, Ahmet Öztürk

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In one paragraph

Article in Neuropsychiatric disease and treatment, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
–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

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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

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

5 authors.

Onur YilmazBezmialem Foundation University Medical Faculty, Department of Psychiatry, Istanbul, Turkey, ony1978@gmail.com.
Yildizhan ŞengülBezmialem Foundation University Medical Faculty, Department of Neurology, IIstanbul, Turkey.
Hakan Serdar ŞengülGaziosmanpaşa Taksim Research and Training Hospital, Department of Psychiatry, Istanbul, Turkey.
Fatma Büşra ParlakkayaBezmialem Foundation University Medical Faculty, Department of Psychiatry, Istanbul, Turkey, ony1978@gmail.com.
Ahmet ÖztürkBezmialem Foundation University Medical Faculty, Department of Psychiatry, Istanbul, Turkey, ony1978@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe purpose of this study was to examine alexithymia among restless legs syndrome (RLS) patients, compare with healthy controls, and argue the clinical inferences of this relationship. We searched for anxiety and depression and their clinical outcomes among patients and searched whether the results are similar to previous studies. PATIENTS AND

methodsEighty-seven RLS patients and 88 age, gender, and educationally matched healthy controls were assessed in Bezmialem Foundation University Hospital. RLS patients and healthy controls were assessed with the Sociodemographic Data Form constructed for the present study, 20-item Toronto Alexithymia Scale (TAS-20), Beck Depression Inventory (BDI), and Beck Anxiety Scale (BAS). The patient group was also assessed with the International Restless Legs Syndrome Study Group (IRLSSG) RLS Severity Scale.

resultsRLS patients were found to have greater TAS-20, BDI, and BAS scores compared with the control group (

conclusionRLS patients were found to be more alexithymic than healthy controls, whereas no significant relationship was found between RLS severity and levels of alexithymia. Still, alexithymia might be a predictor for early diagnosis and may be considered in the treatment and follow-up of RLS. RLS patients have higher depression and anxiety scores than healthy individuals. Thus, depression and anxiety should be taken into consideration throughout the RLS treatment.

Indexed as

alexithymiaanxietydepressionrestless legs syndrome

Identifiers

PMID30214210
PMCPMC6120575

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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.