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Record W1972258966 · doi:10.1586/14787210.4.6.909

Structured treatment interruptions in chronic HIV management: where next?

2006· editorial· en· W1972258966 on OpenAlexafffund
Nitika Pant Pai, Marina B. Klein

Bibliographic record

VenueExpert Review of Anti-infective Therapy · 2006
Typeeditorial
Languageen
FieldMedicine
TopicHIV/AIDS Research and Interventions
Canadian institutionsMcGill University Health Centre
FundersFonds de Recherche du Québec - Santé
KeywordsHuman immunodeficiency virus (HIV)MedicinePsychologyIntensive care medicineFamily medicine

Abstract

fetched live from OpenAlex

In 1999, researchers reported the ‘Berlin patient’, the first instance of successfully controlling HIV viremia after interruption of antiretroviral treatment (ART) [1]. This case report raised the possibility that intermittent ART might have a place in the management of HIV infection. Since then, structured treatment interruptions (STIs) as an experimental alternative strategy in the management of HIV infection have been investigated in a variety of settings [2]. STI is defined as an experimental strategy investigating effects of predetermined interruptions of ART for a variable or fixed duration in selected HIV-infected participants, guided by CD4 or HIV-RNA levels in controlled clinical trial settings. Fixed-cycle STIs refer to interruptions in therapy that are of a set duration (i.e., 1–3 months) cycled with reintroduction of therapy of similar duration’ [3]. CD4-guided STIs are strategies in which interruptions in ART are attempted at CD4 levels above 350 cells/ml with reintroduction of ART at variable levels of CD4 cell count (250–350 cells/ml). STIs in controlled trial settings have been attempted in three categories of 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 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), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.113
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
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)0.0020.000

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 head0.021
GPT teacher head0.388
Teacher spread0.368 · 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

Citations1
Published2006
Admission routes2
Has abstractyes

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