Evidence map›Paper›PMID 28717432›Full record

ReviewIranian journal of neurology2017

Multiple sclerosis-A disease on a dramatically rising trend in Iran: Review of possible reasons.

Mohammad Ali Sahraian, Mohammad Sahebkar, Rouhullah Dehghani, Milad Derakhshan-Jazari, Vahid Kazami-Moghaddam, Ebrahim Kouchaki

Abstract readReview
In one paragraph

Review in Iranian journal of neurology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–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

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

18 citing papers in PubMed.

  1. Trial
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  5. Review
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  12. Review
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  15. Expression analysis of long non-coding RNAs and their target genes in multiple sclerosis patients.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2019
    Article
  16. Article
  17. Article
  18. 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.

Mohammad Ali SahraianMultiple Sclerosis Research Center, Neuroscience Institute, Tehran University of Medical Sciences, Tehran, Iran.
Mohammad SahebkarDepartment of Statistics and Epidemiology, School of Health, Sabzevar University of Medical Sciences, Sabzevar, Iran.
Rouhullah DehghaniSocial Determinants of Health Research Center, Department of Environment Health, School of Health, Kashan University of Medical Sciences, Kashan, Iran.
Milad Derakhshan-JazariDepartment of Occupational Health, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Vahid Kazami-MoghaddamDepartment of Environmental Health, School of Health, Neyshabur University of Medical Sciences, Neyshabur, Iran.
Ebrahim KouchakiDepartment of Neurology, School of Medicine, Kashan University of Medical Sciences, Kashan, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There has been a global rising trend in recent years in the incidence of multiple sclerosis (MS). Despite being an MS low-risk region, this disease has also been recently on the rise in the Middle East. As part of the Middle East, Iran has not been spared either; however, the cause of this dramatic increase remains to be discovered. This study reviews possible reasons for this increase in Iran. Although many factors such as the increased rate of smoking, lifestyle changes, modernization, and contact with toxic solvents can be proposed as reasons for this sudden rise in the prevalence of MS in Iran, these factors cannot be taken as definite causes and further studies are required to prove their impact.

Indexed as

CausalityEnvironmental FactorsIncidenceIranMultiple SclerosisPrevalence

Identifiers

PMID28717432
PMCPMC5506754

What OpenQuestion holds

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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.