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Record W2153667566 · doi:10.1345/aph.1r550

Effect of the <i>UGT1A1*28</i> Allele on Unconjugated Hyperbilirubinemia in HIV-Positive Patients Receiving Atazanavir: A Systematic Review

2013· review· en· W2153667566 on OpenAlexaff
Celia Culley, Tony K. L. Kiang, Samuel E. Gilchrist, Mary H. H. Ensom

Bibliographic record

VenueAnnals of Pharmacotherapy · 2013
Typereview
Languageen
FieldMedicine
TopicNeonatal Health and Biochemistry
Canadian institutionsChildren's & Women's Health Centre of British ColumbiaVancouver General HospitalUniversity of British Columbia
Fundersnot available
KeywordsAtazanavirMedicineUnconjugated hyperbilirubinemiaDiscontinuationInternal medicineRitonavirGlucuronosyltransferaseCobicistatTherapeutic drug monitoringIncidence (geometry)BilirubinGastroenterologyPediatricsHuman immunodeficiency virus (HIV)ImmunologyViral loadEnzymeAntiretroviral therapyPharmacokineticsBiochemistryBiology

Abstract

fetched live from OpenAlex

OBJECTIVE: To systematically examine the literature assessing the effect of uridine 5'-diphospho-glucuronosyltransferase (UGT)1A1*28 genetic polymorphisms on atazanavir-associated hyperbilirubinemia. DATA SOURCES: MEDLINE (1948-November 2012), EMBASE (1980-November 2012), International Pharmaceutical Abstracts (1970-November 2012), Google, and Google Scholar were searched using combinations of the following terms: glucuronosyltransferase, glucuronosyltransferase 1A1, atazanavir, atazanavir plus ritonavir, or polymorph$. The reference lists of all identified articles were manually searched. STUDY SELECTION AND DATA EXTRACTION: Studies were included if at least 1 group of patients received atazanavir therapy and assessed the effect of UGT1A1*28 variants on bilirubin concentrations or atazanavir discontinuation rates. The quality of each study was ranked according to the US Preventive Services Task Force 1996 classification system. Information extracted included study design, baseline characteristics, treatment regimens, UGT1A1*28 genotype frequencies, bilirubin concentrations, incidence of hyperbilirubinemia, and atazanavir discontinuation rates. DATA SYNTHESIS: Our search produced 12 studies, of which 9 were included (6 full manuscripts [level II-2], 2 abstracts, and 1 letter to the editor [level III]). Reported UGT1A1*28 homozygote genotype frequencies (0.8-23.8%) were in general agreement with the literature for the diverse ethnic population captured in the 9 studies. An association between the incidence of hyperbilirubinemia and UGT1A1*28 genotype (homozygotes > heterozygotes > wild-type) was demonstrated in all studies that reported such data (6 of 9 studies). However, the calculated positive predictive value for homozygosity and hyperbilirubinemia from pooled data was low (40.3%). Only 2 studies (levels II-2 and III) reported rates of atazanavir discontinuation due to hyperbilirubinemia and showed some positive correlation with presence of the UGT1A1*28 allele. CONCLUSIONS: Based on the available evidence, homozygosity of the UGT1A1*28 allele does not strongly predict the incidence of severe hyperbilirubinemia. Thus, until large, prospective trials demonstrate otherwise, UGT1A1*28 testing does not appear to provide additional information to aid clinical decision-making when initiating atazanavir treatment in HIV-infected patients.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.026
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.009
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.026
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0090.006
Bibliometrics0.0070.008
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0020.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.039
GPT teacher head0.415
Teacher spread0.376 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations15
Published2013
Admission routes1
Has abstractyes

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