Evidence map›Paper›PMID 20936108›Full record

ArticleClinical & developmental immunology2011

Changing concepts of "latent tuberculosis infection" in patients living with HIV infection.

Stephen D Lawn, Robin Wood, Robert J Wilkinson

Abstract read
In one paragraph

Article in Clinical & developmental immunology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
–field-weighted citation impact
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

36 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Symptom screening for active tuberculosis in pregnant women living with HIV.The Cochrane database of systematic reviews · 2018
    Article
  11. Article
  12. Article
  13. Article
  14. Advances in Diagnostic Assays for Tuberculosis.Cold Spring Harbor perspectives in medicine · 2015
    Review
  15. Incidence and correlates of tuberculosis IGRA conversion among HIV-infected postpartum women.The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease · 2015
    Article
  16. Review
  17. Review
  18. Article
  19. Article
  20. 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

3 authors.

Stephen D LawnThe Desmond Tutu HIV Centre, Institute for Infectious Disease and Molecular Medicine, Faculty of Health Sciences, University of Cape Town, Observatory 7925, Cape Town, South Africa. stevelawn@yahoo.co.uk
Robin Wood
Robert J Wilkinson

Funding

The effect of ART on rates and transmission of TBU19AI053217 · NIAID · WITS HEALTH CONSORTIUM (PTY), LTD · PI VIOLARI, AVY · 2002 to 2011
$44.9M
Optimizing HIV Care in Less Developed CountriesR01AI058736 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI Kenneth Alan Freedberg, Emily Parker Hyle · 2004 to 2026
$21.5M
Medical Research Council MC_U117588499Medical Research Council U117588499(88499)NIAID NIH HHS 1U19AI53217-01NIAID NIH HHS R01 AI058736NIAID NIH HHS U19 AI053217PHS HHS R01 A1058736-01A1Wellcome Trust 072070Wellcome Trust 084323Wellcome Trust 088316Wellcome Trust 088590
6 · The paper itself

Abstract

One third of the world's population is estimated to be infected with Mycobacterium tuberculosis, representing a huge reservoir of potential tuberculosis (TB) disease. Risk of progression to active TB is highest in those with HIV coinfection. However, the nature of the host-pathogen relationship in those with "latent TB infection" and how this is affected by HIV coinfection are poorly understood. The traditional paradigm that distinguishes latent infection from active TB as distinct compartmentalised states is overly simplistic. Instead the host-pathogen relationship in "latent TB infection" is likely to represent a spectrum of immune responses, mycobacterial metabolic activity, and bacillary numbers. We propose that the impact of HIV infection might better be conceptualised as a shift of the spectrum towards poor immune control, higher mycobacterial metabolic activity, and greater organism load, with subsequent increased risk of progression to active disease. Here we discuss the evidence for such a model and the implications for interventions to control the HIV-associated TB epidemic.

Indexed as

AIDS-Related Opportunistic InfectionsEpidemicsHIV-1HIV InfectionsHost-Pathogen InteractionsHumansLatent TuberculosisModels, BiologicalMycobacterium tuberculosisTuberculosis

Identifiers

PMID20936108
PMCPMC2948911

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.