ArticleExpert review of anti-infective therapy2014
Tuberculosis screening and isoniazid preventive therapy implementation: a Brazilian experience.
Article in Expert review of anti-infective therapy, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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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.
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Who cites it
1 citing paper in PubMed, 3 citations in OpenAlex.
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Authors and funding
2 authors at 1 institution in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
Tuberculosis Preventive therapy has been used since the 1960s for both mass treatment of populations and for targeted therapy to high-risk groups such as children. The World Health Organization (WHO) recommends the use of Isoniazid preventive therapy (IPT) as one of the strategies to reduce the TB burden among people living with HIV infection. However, its uptake in countries with high TB burden has been poor. One of the main barriers to its widespread implementation is concerns around the ruling out of active TB. WHO, in its revised guidelines on IPT, recommends the use of a symptom-based algorithm for TB screening. The randomized clinical trial evaluated here explores the effect of an intervention, in the form of training the clinic staff to screen for TB, use of tuberculin skin test and IPT to treat latent TB infection, and assess its effect on rates of TB and death in HIV infected.
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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.