Evidence map›Paper›PMID 21694895›Full record

ArticleInfection and drug resistance2010

The use of anti-tuberculosis therapy for latent TB infection.

Justin T Denholm, Emma S McBryde

Open access · goldAbstract read
In one paragraph

Article in Infection and drug resistance, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 41% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.

  1. Pooled it
  2. HBV/HCV coinfection and anti-tuberculosis drug-induced liver injury: from risk assessment and exploration of mechanisms to preventive considerations.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026
    Review
  3. Tuberculosis challenges: Resistance, co-infection, diagnosis, and treatment.European journal of microbiology & immunology · 2022
    Review
  4. Article
  5. Article
  6. Article
  7. Observational
  8. Detection ofAAS open research · 2020
    Article
  9. Article
  10. Article
  11. Striking the right immunological balance prevents progression of tuberculosis.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2017
    Review
  12. Article
  13. Article
  14. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Justin T DenholmVictorian Infectious Diseases Service, Royal Melbourne Hospital, Melbourne, Victoria, Australia;
Emma S McBryde
University of Melbourne · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tuberculosis infection is of global public health significance, with millions of incident cases each year. Many cases, particularly in low-prevalence settings, result from the reactivation of latent tuberculosis infection (LTBI); potentially acquired years prior to active disease. Up to one-third of the world's population has been infected with LTBI, and so may be at risk for future active TB disease. A variety of antituberculosis medications and treatment regimens have now been evaluated in the management of LTBI, with the aim of eradicating tuberculosis bacilli and reducing the likelihood of subsequent reactivation disease. This article reviews LTBI therapies and their use in clinical contexts, and considers future directions for individual and population-based strategies in LTBI management.

Indexed as

interferon-gamma release assayisoniazidlatent tuberculosisrifampicintuberculin skin testtuberculosis

Identifiers

PMID21694895
PMCPMC3108738
OpenAlexW2017800630

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.