Evidence map›Paper›PMID 34654397›Full record

ArticleBMC neurology2021

Burden of multiple sclerosis in Iran from 1990 to 2017.

Nima Fattahi, Sahar Saeedi Moghaddam, Farnam Mohebi, Negar Rezaei, Masoud Masinaei, Sahar Mohammadi Fateh, Elham Soleymani Hassanlouei, Farhad Manoochehri, Eghbal Fattahi, Mohammad Ali Sahraian and 4 more

Abstract read
In one paragraph

Article in BMC neurology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Trial
  2. Observational
  3. Rethinking MS Therapeutics: From Disease Pathogenesis Mechanisms to AI-Driven Drug Discovery.Journal of neuroimmune pharmacology : the official journal of the Society on NeuroImmune Pharmacology · 2026
    Review
  4. Article
  5. Article
  6. Article
  7. 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

14 authors.

Nima Fattahi *Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
Sahar Saeedi Moghaddam *Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
Farnam MohebiNon-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
Negar RezaeiNon-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
Masoud MasinaeiNon-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
Sahar Mohammadi FatehNon-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
Elham Soleymani HassanloueiStudent Research Committee, Kurdistan University of Medical Sciences, Sanandaj, Iran.
Farhad ManoochehriStudent Research Committee, Kurdistan University of Medical Sciences, Sanandaj, Iran.
Eghbal FattahiDepartment of Internal Medicine, Tohid Hospital, Kurdistan University of Medical Sciences, Sanandaj, Iran.
Mohammad Ali SahraianDepartment of Neurology, Sina Hospital, Tehran University of Medical Sciences, Tehran, Iran.
Maziar Moradi-LakehPreventive Medicine and Public Health Research Center, Iran University of Medical Sciences, Tehran, Iran.
Ali H MokdadInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
Mohsen NaghaviInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
Farshad FarzadfarNon-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran. f-farzadfar@tums.ac.ir.ORCID http://orcid.org/0000-0001-8288-4046

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMultiple Sclerosis (MS) is a burdensome, chronic and autoimmune disease of the central nervous system. We aimed to report the incidence, prevalence, mortality, and Disability Adjusted Life Years (DALYs) of MS in Iran at a national level for different age and sex groups over a period of 28 years (1990-2017).

methodsData were extracted from the Global Burden of Disease study (GBD) from 1990 to 2017, published by the Institute for Health Metrics and Evaluation. The incidence of DALYs and prevalence of MS were estimated to report the burden of MS based on sex and age in Iran from 1990 to 2017.

resultsAt the national level, the Age-Standardized Incidence Rate (ASIR), Age-Standardized Prevalence Rate (ASPR), Age-Standardized DALYs Rate (ASDR) and the Age-Standardized Mortality Rate (ASMR) in Iran in 2017 were 2.4 (95% Uncertainty Interval [UI]: 2.1 to 2.7), 69.5 (62.1 to 77.8), 29.1 (23.6 to 34.7), and 0.4 (0.3 to 0.4) per 100,000 population, respectively. During the period of 1990 to 2017, all measures increased, and were higher among females. The incidence rate began upward trend at the age of 20 and attained its highest level at the age of 25.

conclusionIn Iran, all of the age-standardized MS rates have been increasing during the 28 years from 1990 to 2017. Our findings can help policy makers and health planners to design and communicate their plans and to have a better resource allocation, depending on the incidence and prevalence of the growing numbers of MS patients in Iran.

Indexed as

Multiple SclerosisAdultFemaleGlobal Burden of DiseaseGlobal HealthHumansIncidenceIranPrevalenceQuality-Adjusted Life YearsBurden of diseaseGlobal burden of disease studyIranMS (multiple sclerosis)Trend

Identifiers

PMID34654397
PMCPMC8518301

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Registered trials

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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.