Evidence map›Paper›PMID 28184330›Full record

ReviewIranian Red Crescent medical journal2016

The Prevalence of Migraine in Iran: A Systematic Review and Meta-Analysis.

Zeynab Farhadi, Saeideh Alidoost, Meysam Behzadifar, Roghayeh Mohammadibakhsh, Najmeh Khodadadi, Razieh Sepehrian, Rahim Sohrabi, Masood Taheri Mirghaed, Morteza Salemi, Hamid Ravaghi and 1 more

Abstract readReview
In one paragraph

Review in Iranian Red Crescent medical journal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 4 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

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

24 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
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  4. Pooled it
  5. Trial
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  8. Article
  9. Article
  10. Relationship of sleep quality, chronotype, and obstructive sleep apnea with migraine in the elderly population.Neuropsychiatrie : Klinik, Diagnostik, Therapie und Rehabilitation : Organ der Gesellschaft Osterreichischer Nervenarzte und Psychiater · 2024
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  19. Migraine Headaches: The Predictive Role of Anger and Emotional Intelligence.International journal of community based nursing and midwifery · 2022
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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

11 authors.

Zeynab FarhadiSchool of Medicine, Babol University of Medical Sciences, Babol, IR Iran.
Saeideh AlidoostHealth Management and Economics Research Center, Iran University of Medical Sciences, Tehran, IR Iran.
Meysam BehzadifarDepartment of Public Health, Faculty of Health and Nutrition, Lorestan University of Medical Sciences, Khorramabad, IR Iran.
Roghayeh MohammadibakhshHamadan University of Medical Sciences, Hamadan, IR Iran.
Najmeh KhodadadiMashhad University of Medical Sciences, Mashhad, IR Iran.
Razieh SepehrianDepartment of Health Services Management, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, IR Iran.
Rahim SohrabiIranian Social Security Organization, Zanjan Province Health Administration, Zanjan, IR Iran.
Masood Taheri MirghaedDepartment of Health Services Management, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, IR Iran.
Morteza SalemiSocial Determinants in Health Promotion Research Center, Hormozgan University of Medical Sciences, Bandar Abbas, IR Iran.
Hamid RavaghiDepartment of Health Services Management, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, IR Iran.
Masoud BehzadifarHealth Management and Economics Research Center, Iran University of Medical Sciences, Tehran, IR Iran; Department of Public Health, Faculty of Health and Nutrition, Lorestan University of Medical Sciences, Khorramabad, IR Iran; Department of Health Services Management, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, IR Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

contextMigraine is a major dilemma and problem which affects public health and results to reduced quality of life. This study aimed to determine the prevalence of migraine in Iran. EVIDENCE ACQUISITION: A systematic search was conducted using Pub Med, Web of Science, Embase, Scopus, Ovid, Google Scholar, as well as Iranian databases including: MagIran, IranMedex and Scientific Information Databank, from 2000 to November, 2015. The Der-Simonian/Laird's random-effects model, with a 95% confidence interval was employed to estimate the overall pooled prevalence. Heterogeneity was investigated using subgroup analysis based on sample size and time of study.

resultsThirty studies comprising 33,873 participants met the inclusion criteria for the analysis. The overall prevalence of migraine in Iran was 14% (95% CI, 12% to 17%), respectively. The overall prevalence was (8%; 95% CI 6% to 11%) according to the international classification of headache disorders (ICHD-1), (17%; 95% CI 13% to 21%) according to ICHD-2, and (18%; 95% CI 7% to 30%) according to the other questionnaire for migraine screener (ID Migraine), respectively. Meta-regression demonstrated that the prevalence of migraine increased by year of publication and decreased by sample size.

conclusionsThe prevalence of migraine in Iran, which was estimated as 14%, was similar or even higher than that reported world-wide. Migraine can have impact on the economic productivity of any country; therefore it is necessary to educate people on the early detection and the discovery of an effective treatment of migraine. More thorough review of further studies in this field is recommended.

Indexed as

IranMeta-AnalysisMigrainePrevalence

Identifiers

PMID28184330
PMCPMC5292015

What OpenQuestion holds

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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.