↓ Skip to main content

Relationship between ABCB1 3435TT genotype and antiepileptic drugs resistance in Epilepsy: updated systematic review and meta-analysis

Overview of attention for article published in BMC Neurology, February 2017
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

Mentioned by

twitter
2 X users

Citations

dimensions_citation
43 Dimensions

Readers on

mendeley
65 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Relationship between ABCB1 3435TT genotype and antiepileptic drugs resistance in Epilepsy: updated systematic review and meta-analysis
Published in
BMC Neurology, February 2017
DOI 10.1186/s12883-017-0801-x
Pubmed ID
Authors

Malek Chouchi, Wajih Kaabachi, Hedia Klaa, Kalthoum Tizaoui, Ilhem Ben-Youssef Turki, Lamia Hila

Abstract

Antiepileptic drugs (AEDs) are effective medications available for epilepsy. However, many patients do not respond to this treatment and become resistant. Genetic polymorphisms may be involved in the variation of AEDs response. Therefore, we conducted an updated systematic review and a meta-analysis to investigate the contribution of the genetic profile on epilepsy drug resistance. We proceeded to the selection of eligible studies related to the associations of polymorphisms with resistance to AEDs therapy in epilepsy, published from January 1980 until November 2016, using Pubmed and Cochrane Library databases. The association analysis was based on pooled odds ratios (ORs) and 95% confidence intervals (CIs). From 640 articles, we retained 13 articles to evaluate the relationship between ATP-binding cassette sub-family C member 1 (ABCB1) C3435T polymorphism and AEDs responsiveness in a total of 454 epileptic AEDs-resistant cases and 282 AEDs-responsive cases. We found a significant association with an OR of 1.877, 95% CI 1.213-2.905. Subanalysis by genotype model showed a more significant association between the recessive model of ABCB1 C3435T polymorphism (TT vs. CC) and the risk of AEDs resistance with an OR of 2.375, 95% CI 1.775-3.178 than in the dominant one (CC vs. TT) with an OR of 1.686, 95% CI 0.877-3.242. Our results indicate that ABCB1 C3435T polymorphism, especially TT genotype, plays an important role in refractory epilepsy. As genetic screening of this genotype may be useful to predict AEDs response before starting the treatment, further investigations should validate the association.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 2%
Unknown 64 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 11%
Student > Master 7 11%
Student > Postgraduate 6 9%
Student > Bachelor 5 8%
Student > Doctoral Student 5 8%
Other 15 23%
Unknown 20 31%
Readers by discipline Count As %
Medicine and Dentistry 11 17%
Pharmacology, Toxicology and Pharmaceutical Science 10 15%
Biochemistry, Genetics and Molecular Biology 8 12%
Arts and Humanities 2 3%
Nursing and Health Professions 2 3%
Other 9 14%
Unknown 23 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 26 April 2017.
All research outputs
#14,341,817
of 22,965,074 outputs
Outputs from BMC Neurology
#1,242
of 2,454 outputs
Outputs of similar age
#247,749
of 454,411 outputs
Outputs of similar age from BMC Neurology
#18
of 45 outputs
Altmetric has tracked 22,965,074 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,454 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one is in the 44th percentile – i.e., 44% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 454,411 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 45 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.