Evidence map›Paper›PMID 37925562›Full record

SynthesisScientific reports2023

Comprehensive analysis of genes associated with migraine in the Indian population: a meta-analysis of genetic association studies with trial sequential analysis.

Amrit Sudershan, Agar Chander Pushap, Meenakshi Bhagat, Isha Sharma, Hardeep Kumar, Sanjeev K Digra, Parvinder Kumar

Open access · goldAbstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Review
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 at 5 institutions in 1 country.

Amrit SudershanInstitute of Human Genetics, University of Jammu, Jammu, Jammu and Kashmir, 180006, India.
Agar Chander PushapDepartment of Education, Dakshina Bharat Hindi Prachar Sabha, Madras, 600017, India.
Meenakshi BhagatDepartment of Zoology and Institute of Human Genetics, University of Jammu, Jammu, Jammu and Kashmir, 180006, India.
Isha SharmaDepartment of Zoology and Institute of Human Genetics, University of Jammu, Jammu, Jammu and Kashmir, 180006, India.
Hardeep KumarDepartment of Neurology, Super Specialty Hospital, Jammu, Jammu and Kashmir, 180006, India.
Sanjeev K DigraDepartment of Paediatrics, Sri Maharaja Gulab Singh Hospital, Government Medical College, Jammu, Jammu and Kashmir, 180006, India. sanjeevahsaas@yahoo.co.in.
Parvinder KumarInstitute of Human Genetics, University of Jammu, Jammu, Jammu and Kashmir, 180006, India. drparvinderkumar@jammuuniversity.ac.in.ORCID 0000-0003-1039-6638
University of Jammu · INDakshina Bharat Hindi Prachar Sabha · INJammu Hospital · INShri Maharaja Hari Singh Hospital · INUniversity of Kashmir · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Migraine is a complex disorder with multigenic inheritance and is characterized by the cardinal symptom of unilateral headache. Many genes are responsible for increasing the susceptibility of disease within different populations. Therefore, our primary aim in this review was to catalog the many genes that have been studied in India and after collecting the necessary information, we calculated a more precise risk relationship between an identified variation and migraine. The gene and its associated risk variant were discovered in the Indian population using a PRISMA-based systematic literature review guideline from online databases such as PubMed & Google Scholar. We constructed pooled odds ratios with 95% confidence intervals using multiple genetic models. Also, we looked for heterogeneity using Cochran's Q Test and the I2 statistic. Publication bias was analyzed using Begg's and Egger's tests. A p-value less than 0.05 was judged to be statistically significant for all tests. After a critical analysis, a total of 24 studies explored about 21 genes with 31 variants out of which only nine genes have been studied more than two times in the Indian population and thus were found eligible for the meta-analysis. It has been found, that the ACE-DD variant (allele model: OR: 1.37 [1.11-1.69], I

Indexed as

Genetic Predisposition to DiseaseMigraine DisordersAllelesAsian PeopleGenetic Association StudiesHumans

Identifiers

PMID37925562
PMCPMC10625547
OpenAlexW4388340896

What Socratic 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 Socratic graph.