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Record W4318065960 · doi:10.21474/ijar01/15992

EFFECT OFVARIATIONSIN ABCC2, CYP2C9, CYP2C19 & SCN2A GENESON TREATMENT RESPONSETO ANTICONVULSANTS- A SYSTEMATIC REVIEWAND META-ANALYSIS OF GENETIC ASSOCIATION STUDIES

2023· article· en· W4318065960 on OpenAlex
Mamillapally Loukya, Defria Zeneth B., Samuel Gideon George P.

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueInternational Journal of Advanced Research · 2023
Typearticle
Languageen
FieldMedicine
TopicDrug Transport and Resistance Mechanisms
Canadian institutionsnot available
Fundersnot available
KeywordsMeta-analysisCYP2C19Publication biasMedicineFunnel plotInternal medicineGeneticsBiologyGeneGenotype

Abstract

fetched live from OpenAlex

Objective: This study was aimed to determine the effect of genetic polymorphisms (non-synonymous, missense, and copy number variations) in ABCC2, CYP2C9, CYP2C19&SCN2A genes on treatment response to anticonvulsants. Methods: The search was carried out in PubMed, Scopus, Cochrane Central Register of Controlled Trials, Embase, LILACS, Google Scholar, MEDLINE, ScienceDirect, Web of Science, and the DOAJ database. Hardy Weinberg Equilibrium (HWE), New-Castle Ottawa scale value, Cochrane Review Manager 5.0 (&R 4.0.3,) and Rayyan QCRI are used for assessing data synthesis, risk of bias, heterogeneity assessment using I[2]statistics and calculating Inter-rater agreement respectively. Publication bias assessment was performed using Eggers test and the Funnel plot. For statistical analysis, random effects modeling was used to explain the association between genetic variations in ABCC2, CYP2C9, CYP2C19 & SCN2A genes related to drug resistance or treatment failure. Results: This meta-analysis includes a total of 29 studies. We found a greater risk of AED resistance in ABCC2rs2273697 genetic variations (OR=1.51 [ 0.93-2.47], p value=0.03 at 95% CI), ABCC2 rs3740066 genetic variation has a greater possibility of AED resistance was seen in pooled population (OR= 0.85 [0.12-5.85], p-value<0.01 at 95% CI), risk of drug resistance was increased by ABCC2 rs717620 polymorphism. (OR =2.13, [1.02-4.44], p-value<0.01 at 95% CI), CYP2C9 rs1799853 polymorphism had a significant increase in AED resistance (OR =1.27, [0.49-3.32] p-value<0.01 at 95% CI), CYP2C9 rs1057910 polymorphism. (OR= 0.74, [0.32-1.70] p-value 0.01 at 95% CI), CYP2C19 rs4244285 polymorphism. (OR= 0.68, [0.29-1.62], p value=0.02 at 95% CI), SCN2A rs2304016 polymorphism. (OR= 1.20, [0.48-3.05], p value<0.01 at 95% CI), SCN2Ars17183814 polymorphism. (OR =1.51, [1.12-2.03], p value=0.30 at 95% CI). Conclusions:Gene polymorphisms play a key role in epilepsy development and therapeutic efficacy, and could have greater impact treatment outcomes.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.105
Threshold uncertainty score0.540

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.222
GPT teacher head0.518
Teacher spread0.296 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it