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Record W3181008393 · doi:10.21203/rs.3.rs-617615/v1

The RIO Trial: Rationale, Design, And The Role of Community Involvement In A Randomised Placebo-Controlled Trial of Antiretroviral Therapy Plus Dual Long-Acting HIV-Specific Broadly Neutralising Antibodies (bNAbs) In Participants Diagnosed With Recent HIV Infection - Study Protocol For A Two-Stage Randomised Phase II Trial

2021· preprint· en· W3181008393 on OpenAlexaff
Ming Lee, Simon Collins, Daphne Babalis, Nicholas Johnson, Emanuela Falaschetti, A Toby Prevost, Ambreen Ashraf, Tom Cole, Lisa Hurley, Matthew Pace, Ane Ogbe, Maryam Khan, Panagiota Zacharopoulou, Helen Brown, Hanna Box, Julie Fox, Steven G. Deeks, Jill Horowitz, Michel C. Nussenzweig, Marina Caskey, John Frater, Sarah Fidler

Bibliographic record

VenueResearch Square · 2021
Typepreprint
Languageen
FieldImmunology and Microbiology
TopicHIV Research and Treatment
Canadian institutionsSt. Thomas Hospital
FundersIsrael Cancer Research FundMedical Research CouncilNational Institute for Health and Care ResearchGilead SciencesBill and Melinda Gates Foundation
KeywordsMedicineHuman immunodeficiency virus (HIV)PlaceboAntiretroviral therapyRandomized controlled trialAntibodyClinical trialInternal medicineVirologyImmunologyAlternative medicineViral loadPathology

Abstract

fetched live from OpenAlex

Abstract • Background:Antiretroviral therapy (ART) has led to dramatic improvements in survival for people living with HIV, but is unable to cure infection, or induce viral control off therapy. Designing intervention trials with novel agents with the potential to confer a period of HIV remission without ART, remains a key scientific and community goal. We detail the rationale, design, and outcomes of a randomised, placebo-controlled trial of two HIV-specific long-acting broadly neutralising antibodies (bNAbs); 3BNC117-LS and 10-1074-LS, which target CD4 binding site and V3 loop respectively, on post-treatment viral control.• Methods:RIO is a randomised, placebo-controlled, double-blinded prospective phase II study. Eligible individuals will have started ART within 3 months of primary HIV infection and have viral sequences that appear to be sensitive to both bNAbs. It will randomise 72 eligible participants 1:1 to the following arms via a two-stage design. In stage 1, arm A participants are given dual long-acting (LS-variants) bNAbs infusions, followed by intensively monitored Analytical Treatment Interruption (ATI) (n=36); in arm B, participants receive placebo infusions followed by ATI. The primary endpoint will be time to viral rebound within 36 weeks after ATI. Upon viral rebound, the participant and researcher are unblinded. Participants in arm A recommence ART and complete the study. Participants in arm B are invited to restart ART and enroll into stage 2 where they will receive open-label LS bNAbs, followed by a second ATI 24 weeks after. Secondary and exploratory endpoints include adverse events, time to undetectable viraemia after re-starting ART, immunological markers, HIV proviral DNA, serum bNAb concentrations in blood, bNAb resistance at viral rebound, and quality of life measures.• Discussion:The two-stage design was determined in collaboration with community involvement. This design allows all participants the option to receive bNAbs. It also tests the hypothesis that bNAbs may drive sustained HIV-control beyond the duration of detectable bNAb concentrations. Community representatives were involved at all stages. This included the two-stage design, discussion on the criteria to restart ART, frequency of monitoring visits off ART and reducing the risk of onward transmission to HIV-negative partners. It also included responding to the challenges of COVID-19.Trial registration: The protocol is registered on Clinical.trials.gov and EudraCT and has approval from UK Ethics and MHRA.

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)0.073
metaresearch head score (Gemma)0.058
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.073
Threshold uncertainty score0.388

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0730.058
Meta-epidemiology (narrow)0.0080.004
Meta-epidemiology (broad)0.0100.006
Bibliometrics0.0020.002
Science and technology studies0.0030.007
Scholarly communication0.0050.005
Open science0.0050.003
Research integrity0.0110.010
Insufficient payload (model declined to judge)0.0190.007

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 head0.142
GPT teacher head0.431
Teacher spread0.289 · 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 designRandomized trial
Domainnot available
GenreProtocol

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

Citations4
Published2021
Admission routes1
Has abstractyes

Explore more

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