ReviewIndian journal of pediatrics2024
Tuberculosis Preventive Treatment.
Review in Indian journal of pediatrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.
- Rifapentine-isoniazid versus isoniazid-alone therapy for tuberculosis prevention among people living with HIV (PLHIV): a systematic review and meta-analysis of randomized trials.BMC infectious diseases · 2026Pooled it
- Embracing Tuberculosis Preventive Treatment: A Crucial Step towards TB Control in Pakistan.Pakistan journal of medical sciences · 2026Article
- Screening and tuberculosis preventive treatment among household contacts of drug-resistant tuberculosis patients: a scoping review.BMC infectious diseases · 2026Article
- Scaling Up Tuberculosis Preventive Treatment: Progress and Factors Influencing Optimization - China, 2022-2025.China CDC weekly · 2026Article
- Three-Dimensional-Printed Isoniazid Chewable Gels for On-Demand Latent Tuberculosis Treatment in Children.Pharmaceutics · 2025Article
- Development of a Predictive Risk Model for Recurrence of Chronic Pulmonary Aspergillosis in Post-Tuberculosis Patients: A Retrospective Observational Study.International journal of general medicine · 2025Article
- Personalized Medicine Through Semisolid-Extrusion Based 3D Printing: Dual-Drug Loaded Gummies for Enhanced Patient Compliance.Pharmaceutical research · 2025Article
- Pediatric Tuberculosis: A Comprehensive Overview.Indian journal of pediatrics · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Some individuals exposed to Mycobacterium tuberculosis develop a latent infection and remain at a lifelong risk of developing tuberculosis (TB) disease, a state called as TB infection (TBI). TB preventive treatment (TPT) aims to treat TBI and prevent progression to active TB in an exposed or infected person. Currently, it is not possible to confirm TBI microbiologically, but can be identified indirectly by means of immune-based tests [Tuberculin skin test (TST), interferon-gamma release assays (IGRAs)]. It is crucial to rule out active TB before initiating TPT. TPT regimens have evolved with time. The most widely used regimen is 6 mo of daily Isoniazid (INH) (6H). Another regime in pipeline for persons >2 y, but not yet widely available, is 3HP (3 mo of weekly Isoniazid and Rifapentine). TPT to contacts of drug resistant TB (DR-TB) patients needs to be tailored depending on the resistance pattern in the index case, and relies on a bacteriological confirmation of the same. Individuals receiving TPT should be closely monitored for emergence of any signs or symptoms suggestive of active TB disease while on TPT.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.