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Record W2901310338 · doi:10.1097/qco.0000000000000509

Optimizing antiretroviral regimens in chronic kidney disease

2018· review· en· W2901310338 on OpenAlexaff
Lisa Hamzah, Rachael Jones, Frank A. Post

Bibliographic record

VenueCurrent Opinion in Infectious Diseases · 2018
Typereview
Languageen
FieldMedicine
TopicHIV/AIDS drug development and treatment
Canadian institutionsSt. Thomas Hospital
Fundersnot available
KeywordsMedicineRenal functionKidney diseaseAtazanavirCobicistatNephrotoxicityCreatinineInternal medicineKidneyUrologyTenofovir alafenamideRitonavirGastroenterologyImmunologyHuman immunodeficiency virus (HIV)Viral loadAntiretroviral therapy

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: To identify recent data that inform the management of individuals with HIV and chronic kidney disease. RECENT FINDINGS: Several nonnucleoside reverse transcriptase, protease, and integrase strand transfer inhibitors inhibit tubular creatinine secretion resulting in stable reductions in creatinine clearance of 5-20 ml/min in the absence of other manifestations of kidney injury. Progressive renal tubular dysfunction is observed with tenofovir disoproxil fumarate in clinical trials, and more rapid decline in estimated glomerular filtration rate in cohort studies of tenofovir disoproxil fumarate and atazanavir, with stabilization, improvement or recovery of kidney function upon discontinuation. Results from clinical trials of tenofovir alafenamide (TAF) in individuals with chronic kidney disease suggest that TAF is well tolerated in those with mild to moderate renal impairment (creatinine clearance >30 ml/min) but results in very high tenofovir exposures in those on haemodialysis. SUMMARY: Standard antiretroviral regimens remain appropriate for individuals with normal and/or stable, mildly impaired kidney function. In those with chronic kidney disease or progressive decline in estimated glomerular filtration rate, antiretrovirals with nephrotoxic potential should be avoided or discontinued. Although TAF provides a tenofovir formulation for individuals with impaired kidney function, TAF is best avoided in those with severe or end-stage kidney disease.

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.809
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.054
GPT teacher head0.375
Teacher spread0.321 · 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 teacher head, not a consensus.

Study designNot applicable
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

Citations9
Published2018
Admission routes1
Has abstractyes

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