Evidence map›Paper›PMID 27179628›Full record

Observational studyBMC pediatrics2016

Frequencies of CYP2C9 polymorphisms in North Indian population and their association with drug levels in children on phenytoin monotherapy.

Nagendra Chaudhary, Madhulika Kabra, Sheffali Gulati, Yogendra Kumar Gupta, Ravindra Mohan Pandey, Bal Dev Bhatia

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in BMC pediatrics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
3.0field-weighted citation impact, top 10% 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

6 citing papers in PubMed, 16 citations in OpenAlex.

  1. Trial
  2. Article
  3. Review
  4. Single nucleotide polymorphisms onInternational journal of molecular epidemiology and genetics · 2020
    Article
  5. Article
  6. CYP2C9 polymorphisms in epilepsy: influence on phenytoin treatment.Pharmacogenomics and personalized medicine · 2018
    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

6 authors at 2 institutions in 2 countries.

Nagendra ChaudharyDepartment of Pediatrics, All India Institute of Medical Sciences, New Delhi, India. enagendra@hotmail.com.
Madhulika KabraGenetic Unit, Department of Pediatrics, All India Institute of Medical Sciences, New Delhi, India.
Sheffali GulatiDivision of Pediatric Neurology, Department of Pediatrics, All India Institute of Medical Sciences, New Delhi, India.
Yogendra Kumar GuptaDepartment of Pharmacology, All India Institute of Medical Sciences, New Delhi, India.
Ravindra Mohan PandeyDepartment of Biostatistics, All India Institute of Medical Sciences, New Delhi, India.
Bal Dev BhatiaDepartment of Pediatrics, Universal College of Medical Sciences, Bhairahawa, Nepal.
All India Institute of Medical Sciences · INCollege of Medical Sciences · NP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPhenytoin, mainly metabolized by cytochrome P450 enzyme system, has a narrow therapeutic index and may have adverse effects due to inter-individual variation in the dose requirement and genetic polymorphisms. This cross-sectional study was done to study the prevalence of cytochrome P450 CYP2C9 polymorphisms in Indian epileptic children and to see the effect of polymorphisms on serum levels in epileptic children on phenytoin monotherapy.

methodsWe studied 89 epileptic children of North Indian population, randomly selected, to see the genotypic and allelic frequency of CYP2C9 and its association with drug levels on phenytoin monotherapy. Analysis was done using STATA 9 Software. The results were analyzed as prevalence at 95 % C.I. (Confidence Interval). The difference in mean phenytoin serum levels between wild and mutant alleles was tested using Student`s T test for independent samples. P value less than 0.05 was considered statistically significant.

resultsCYP2C9*1, *2 & *3 allelic frequencies were 85.4, 4.5 and 10.1 % respectively. CYP2C9*3 allelic group showed significantly higher serum phenytoin levels compared to the wild variants (P = 0.009). There was no statistically significant difference in the dose received (P = 0.12) and side effects of CYP2C9*2 and CYP2C9*3 genotypes (P = 0.442 and 0.597 respectively) when compared with wild variant.

conclusionCYP2C9*3 is more common than *2 in the present study. All the polymorphisms demonstrated in our study were heterozygous with no homozygosity. Serum phenytoin levels are higher in polymorphic groups (*3) which suggest their poor metabolizing nature. Genotyping may help to avoid toxicity and concentration-dependent adverse effects.

Indexed as

Polymorphism, GeneticAnticonvulsantsChildChild, PreschoolCross-Sectional StudiesCytochrome P-450 CYP2C9EpilepsyFemaleGene FrequencyGenetic MarkersGenotypeGenotyping TechniquesHumansIndiaMalePhenytoinAnticonvulsantsCYP2C9 protein, humanCytochrome P-450 CYP2C9Genetic MarkersPhenytoinCYP2C9 polymorphismEpilepsyNeurocysticercosisPhenytoin monotherapy

Identifiers

PMID27179628
PMCPMC4868001
OpenAlexW2368501003

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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.