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Record W4324360629 · doi:10.1186/s13063-023-07161-y

Evaluating interventions to reduce behaviour associated with HCV reinfection in men who have sex with men: study protocol for a non-blinded, phase 2, randomised trial

2023· article· en· W4324360629 on OpenAlexaff
Kris Hage, Anders Boyd, Udi Davidovich, Paul Zantkuijl, Elske Hoornenborg, Amy Matser, Ellen Generaal, Janke Schinkel, Ève Todesco, Marc van der Valk, Hayette Rougier, Karine Lacombe, Maria Prins, Sjoerd Rebers, F J J Pijnappel, Haggai Eden, Janneke E. Stalenhoef, F. van Malsem, Roos van Heerde, H. Nobel, W. Alers, L. Elsenburg, D.W.M. Verhagen, Fanny N. Lauw, Michiel P. van Wijk, Jan den Hollander, Annemarie E. Brouwer, Eliane M.S. Leyten, S. Wildenbeest, Tania Mudrikova, M. van der Kerkhof, C. Kips, L. Flobbe, F. Mouthaan, S. Elzinga, Dominique Loomans, Emre Cenk Ersan, Kelvin Sunn Hoah Yap, K. De Jong, Inga Peters, S. de Graaf, Ejay de Wit

Bibliographic record

VenueTrials · 2023
Typearticle
Languageen
FieldMedicine
TopicHepatitis C virus research
Canadian institutionsInstitute of Infection and Immunity
FundersAgence Nationale de Recherches sur le Sida et les Hépatites ViralesZonMwAmsterdam University Medical Centers
KeywordsMedicineProtocol (science)Psychological interventionRandomized controlled trialPhysical therapyMen who have sex with menInternal medicineAlternative medicinePsychiatryFamily medicineHuman immunodeficiency virus (HIV)Pathology

Abstract

fetched live from OpenAlex

BACKGROUND: As highly effective therapy against hepatitis C virus (HCV) infection is available with rapid uptake, there is newfound optimism for HCV elimination. Nevertheless, certain key populations have a high risk of HCV reinfection, in particular men who have sex with men (MSM) in Western European countries. Modelling data indicate that HCV elimination will not be feasible without reduction in risk behaviour, thus supporting the need for effective interventions aimed at reducing risk behaviour and preventing reinfections in MSM. METHODS: The ICECREAM study is an international, multi-centred, phase 2, 3-arm randomised trial comparing run-in and intervention periods enrolling MSM with a history of a cured or spontaneously cleared HCV infection. Individuals are followed in routine care for 6 months (i.e. run-in period) and then randomly allocated (1:1:1) to one of the following: a tailored, interactive online risk-reduction behavioural intervention, a validated home-based HCV-RNA self-sampling test service using dried blood spots, or a combination of both. After randomisation, individuals are followed every 6 months until 18 months (i.e. intervention period). Interventions are delivered in addition to standard of care. Online questionnaire measuring risk behaviour over the past 6 months is administered at every visit. The primary outcome is the proportion at risk of HCV infection during run-in versus intervention periods assessed by using the HCV-MOSAIC risk score. The risk score consists of six self-reported HCV-related risk behaviours. Secondary outcomes include incidence of HCV reinfection, changes in the individual risk behaviour items and changes in sexual well-being since changes in sexual behaviour may have an impact on sexual experience. Two hundred forty-six MSM aged 18 years or older will be invited to participate. DISCUSSION: The ICECREAM study is a trial aimed at establishing interventions that could effectively decrease the incidence of HCV re-infection in MSM with a previous HCV infection. By offering an online behavioural risk-reduction intervention and HCV-RNA self-sampling, both of which are aimed to influence risk behaviour, we are able to provide products to at-risk MSM that could further reduce population-level HCV incidence and ultimately help reach HCV micro-elimination. TRIAL REGISTRATION: ClinicalTrials.gov NCT04156945. Registered on November 8, 2019.

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)0.033
metaresearch head score (Gemma)0.035
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 score0.079
Threshold uncertainty score0.264

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0330.035
Meta-epidemiology (narrow)0.0090.004
Meta-epidemiology (broad)0.0150.008
Bibliometrics0.0030.004
Science and technology studies0.0040.005
Scholarly communication0.0050.005
Open science0.0050.003
Research integrity0.0100.010
Insufficient payload (model declined to judge)0.0790.017

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 head0.452
GPT teacher head0.604
Teacher spread0.152 · 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

Citations2
Published2023
Admission routes1
Has abstractyes

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