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Record W2333556710 · doi:10.2146/ajhp110721

Handbook and website on HIV drug therapy

2012· letter· en· W2333556710 on OpenAlexaff
Alice Tseng, Michelle Foisy

Bibliographic record

VenueAmerican Journal of Health-System Pharmacy · 2012
Typeletter
Languageen
FieldMedicine
TopicHIV-related health complications and treatments
Canadian institutionsUniversity of AlbertaToronto General Hospital
Fundersnot available
KeywordsMedicineReimbursementPharmacyDrugAntiretroviral therapyPharmacotherapyIntensive care medicineDiseaseHuman immunodeficiency virus (HIV)Viral loadFamily medicinePharmacologyHealth carePsychiatryInternal medicine

Abstract

fetched live from OpenAlex

Due to significant therapeutic advances, HIV infection has become a chronic manageable disease for treatment-adherent patients with an undetectable viral load, and comorbid conditions including hepatitis, cardiovascular and metabolic complications, and end-organ dysfunction have become increasingly common in aging patients with HIV infection.1,2 Practitioners need to consider effectiveness, toxicity, drug interactions, adherence, and cost when initiating or modifying antiretroviral agent regimens and to assess the potential impact of such changes on other disease states and pharmacotherapy. We developed a comprehensive handbook and accompanying website on HIV drug therapy in order to (1) create a centralized repository for current HIV drug information for health care professionals with a focus on drug interactions and (2) promote the safe and rational prescribing of antiretroviral agents. The first version of the handbook was developed in 1992 to increase awareness of drug costs and to promote responsible prescribing. It began as a pocket-sized, 14-page, inhouse publication for medical and pharmacy staff and residents and has evolved to become a comprehensive reference on HIV treatments and pharmacology, including drug interactions. The ninth edition, comprising 550 pages and 1544 references, was published in 2010. It includes in-depth information on all licensed antiretroviral agents as well as 19 tables of drug interactions (including antiretroviral agents and other drug classes), six appendices, reimbursement criteria, and manufacturer contact information.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.168
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.034
GPT teacher head0.356
Teacher spread0.322 · 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
GenreCommentary

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

Citations2
Published2012
Admission routes1
Has abstractyes

Explore more

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