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Record W4417409948 · doi:10.2196/89584

A Novel One-month Ultra-Short Preventive Treatment for Halting Active Tuberculosis from Latent Infection Among Close Contacts (TB-YOUTH study): Study Protocol For A Cluster-Randomized Controlled Trial (Preprint)

2025· article· en· W4417409948 on OpenAlexvenueno aff
Yixuan Yang, Feiran Zhou, Yanfei Ren, Fudong Li, Qingluan Yang, Yi He, Xiaolin Wei, Xing Wang, Jianfeng Luo, Feng Sun, Lingyun Shao, Jinlan Li, Qiaoling Ruan, Wenhong Zhang

Bibliographic record

VenueJMIR Research Protocols · 2025
Typearticle
Languageen
FieldMedicine
TopicTuberculosis Research and Epidemiology
Canadian institutionsnot available
Fundersnot available
KeywordsRifapentineLatent tuberculosisIsoniazidRegimenTuberculosisRandomized controlled trialChemoprophylaxisCluster (spacecraft)Directly Observed Therapy

Abstract

fetched live from OpenAlex

Abstract Background Close contacts of individuals with active pulmonary tuberculosis (TB) face an elevated risk of TB acquisition, necessitating systematic screening for latent TB infection and subsequent TB preventive treatment (TPT). Major TPT regimens require ≥3 months of drug exposure and demonstrate suboptimal safety profiles, significantly compromising treatment completion rates. Therefore, the development of shorter, safer chemoprophylaxis strategies represents a critical need in global TB control. Among close contacts, school-aged children and adolescents constitute the most vulnerable demographic subgroup, warranting prioritized intervention efforts. Objective The primary objective of this study is to demonstrate noninferiority of an ultrashort, 1-month TPT regimen of isoniazid plus rifapentine, administered 3 times a week (1H 3 P 3 ) compared with the standard 3-month daily isoniazid plus rifampicin (3HR) regimen in preventing active TB, as measured by the 24-month cumulative incidence of active TB following randomization. Methods An investigator-initiated, prospective, multicenter, open-label, noninferiority, cluster-randomized controlled clinical trial is being implemented under the auspices of the national TB control program in China. Close contacts of school pulmonary TB index cases, regardless of diagnostic type, are actively screened for symptoms using interferon-gamma release assays, chest imaging, and sputum molecular diagnostic testing to detect TB infection and exclude active TB. Eligible latent TB infection cases will be randomized in a 1:1 cluster ratio to receive either the standard 3HR regimen or the novel ultrashort 1H 3 P 3 regimen for TPT, with subsequent follow-up for up to 2 years to assess disease progression. The primary composite end point includes microbiologically confirmed TB (sputum culture or molecular diagnostic testing) or clinically diagnosed TB. With 80% power to detect noninferiority (20% margin), the study requires 1760 participants per arm, accounting for cluster design effects. Results Recruitment started in September 2023. By the end of December 2025, a total of 2478 participants, comprising 627 index cases, had been enrolled, and recruitment is estimated to continue until September 2026. Data analysis will commence after the 2-year follow-up period, and the results are expected to be published by March 2029. Conclusions This cluster randomized controlled trial aims to establish the noninferiority of a novel, ultrashort 1H 3 P 3 regimen compared to the standard 3-month 3HR regimen for preventing active TB in infected school contacts. If successful, this well-tolerated 1-month regimen could significantly improve treatment completion and optimize preventive therapy delivery in high-transmission congregate settings, thereby contributing substantively to global TB control efforts.

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)0.013
metaresearch head score (Gemma)0.009
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 score0.039
Threshold uncertainty score0.130

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.009
Meta-epidemiology (narrow)0.0050.002
Meta-epidemiology (broad)0.0100.004
Bibliometrics0.0010.002
Science and technology studies0.0020.003
Scholarly communication0.0030.003
Open science0.0030.002
Research integrity0.0050.005
Insufficient payload (model declined to judge)0.0390.006

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 head0.207
GPT teacher head0.545
Teacher spread0.338 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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