Evidence map›Paper›PMID 30761870›Full record

ArticleTurkish journal of medical sciences2019

Prevalence of multiple sclerosis in an urban population of Sivas province in Turkey

Şeyda Figül Gökçe, Burhanettin Çiğdem, Sanem Nemmezi Karaca, Aslı Bolayır, Özlem Kayım Yıldız, Ahmet Suat Topaktaş, Hatice Balaban

Open access · bronzeAbstract read
In one paragraph

Article in Turkish journal of medical sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 2 pooled it
1.1field-weighted citation impact, top 24% 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

3 citing papers in PubMed, 2 syntheses or guidelines pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. 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

7 authors.

Şeyda Figül GökçeORCID 0000-0002-2719-0428
Burhanettin ÇiğdemORCID 0000-0003-4941-9497
Sanem Nemmezi KaracaORCID 0000-0002-4853-8366
Özlem Kayım YıldızORCID 0000-0002-0382-9135
Ahmet Suat TopaktaşORCID 0000-00024463-3366

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background/aim: Multiple sclerosis (MS) is a common neurological disorder that can be a leading cause of nontraumatic disability in several countries. Recent reports have indicated a moderate to high risk of MS in European countries. In this study, we examined the prevalence of MS in a well-defined urban population of provincial center in Sivas Province in Turkey. Materials and methods: This study sampled all registered residents of urban areas of provincial center in Sivas Province in April 2017 and 2018 January. All the included patients met the McDonald 2010 criteria. Medical records were reviewed, including all available previously acquired magnetic resonance imaging data. All patients were subsequently subjected to neurologic examination to confirm the MS diagnosis. Results: We identified 21 possible MS patients, with MS diagnosis confirmed in 19. The prevalence of MS was 288 per 100,000 inhabitants. Conclusion: For future studies, these high ratio results can be used in regional and national comparisons to determine cofactors contributing to the high prevalence of MS in our region and can help health-decision makers to better plan healthcare policies to improve neurological services and awareness about multifaceted clinical presentations of MS.

Indexed as

AdultAgedCross-Sectional StudiesFemaleHumansMaleMiddle AgedMultiple SclerosisPrevalenceTurkeyUrban PopulationYoung AdultMultiple sclerosisprevalenceSivas

Identifiers

PMID30761870
PMCPMC7350802
OpenAlexW2912445600

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.