Evidence map›Paper›PMID 31092180›Full record

ReviewCurrent neuropharmacology2019

Mouse Models of Familial Hemiplegic Migraine for Studying Migraine Pathophysiology.

Anisa Dehghani, Hulya Karatas

Open access · bronzeAbstract readReview
In one paragraph

Review in Current neuropharmacology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 16% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Review
  6. Article
  7. Review
  8. Review
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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

2 authors at 1 institution in 1 country.

Anisa DehghaniInstitute of Neurological Sciences and Psychiatry, Faculty of Medicine, Hacettepe University, Ankara 06100, Turkey.
Hulya KaratasInstitute of Neurological Sciences and Psychiatry, Faculty of Medicine, Hacettepe University, Ankara 06100, Turkey.
Hacettepe University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Migraine, an extremely disabling neurological disorder, has a strong genetic component. Since monogenic migraines (resulting from mutations or changes in a single gene) may help researchers discover migraine pathophysiology, transgenic mice models harboring gene mutations identified in Familial Hemiplegic Migraine (FHM) patients have been generated. Studies in these FHM mutant mice models have shed light on the mechanisms of migraine and may aid in the identification of novel targets for treatment. More specifically, the studies shed light on how gene mutations, hormones, and other factors impact the pathophysiology of migraine. The models may also be of relevance to researchers outside the field of migraine as some of their aspects are relevant to pain in general. Additionally, because of the comorbidities associated with migraine, they share similarities with the mutant mouse models of epilepsy, stroke, and perhaps depression. Here, we review the experimental data obtained from these mutant mice and focus on how they can be used to investigate the pathophysiology of migraine, including synaptic plasticity, neuroinflammation, metabolite alterations, and molecular and behavioral mechanisms of pain.

Indexed as

Disease Models, AnimalMutationAnimalsEpilepsyHumansMiceMice, TransgenicMigraine with AuraPainStrokecortical spreading depressionFamilial hemiplegic migrainemigraine with auramouse modelsneuroinflammationpathophysiologytreatment.

Identifiers

PMID31092180
PMCPMC7052833
OpenAlexW2946112808

What OpenQuestion holds

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LicenceCC BY-NC
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.