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Immunovirologic Control 24 Months After Interruption of Antiretroviral Therapy Initiated Close to HIV Seroconversion

2012· letter· en· W2113060429 on OpenAlexaboutno aff
Sara Lodi, Laurence Meyer, Anthony D. Kelleher, Magdalena Rosińska, Jade Ghosn, Mette Sannes, Kholoud Porter

Bibliographic record

VenueArchives of Internal Medicine · 2012
Typeletter
Languageen
FieldImmunology and Microbiology
TopicHIV Research and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsSeroconversionAntiretroviral therapyHuman immunodeficiency virus (HIV)MedicineVirologyViral load

Abstract

fetched live from OpenAlex

BACKGROUND: There is interest in whether a short course of combination antiretroviral therapy (cART) at the time of human immunodeficiency virus (HIV) seroconversion could induce long-term immunologic control after its interruption. We aimed to determine the time of virologic rebound after interruption of treatment initiated close to HIV seroconversion and to identify potential cases of posttreatment controllers (PTCs) in the CASCADE (Concerted Action on Seroconversion to AIDS and Death in Europe) Collaboration. METHODS: Prospective cohort study nested within the CASCADE database of routinely collected data about patients with HIV with well-estimated date of HIV seroconversion from Europe, Canada, and Australia in the post-cART era. Participants were individuals who interrupted successful cART initiated within 3 months of HIV seroconversion. The main outcome was loss of PTC status, defined as the earlier date of virologic rebound (first of 2 consecutive measurements showing HIV RNA levels >50 copies/mL) or reinitiation of any ART after cART interruption. RESULTS: Median time to loss of PTC status in 259 eligible individuals was 1.7 months. Eleven patients did not experience virologic rebound by 24 months after treatment interruption. CONCLUSION: Most patients experience virologic rebound soon after cART interruption; however, although PTCs are rare, the results of this study confirm their existence.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.456
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.023
GPT teacher head0.286
Teacher spread0.262 · 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
GenreEmpirical

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

Citations119
Published2012
Admission routes1
Has abstractyes

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