Evidence map›Paper›PMID 25540272›Full record

ReviewClinical and vaccine immunology : CVI2015

Tuberculosis vaccine types and timings.

Ian M Orme

Abstract readReview
In one paragraph

Review in Clinical and vaccine immunology : CVI, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Principles in Immunology for the Design and Development of Vaccines.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  5. Cyclic-di-AMP Phosphodiesterase Elicits Protective Immune Responses AgainstFrontiers in cellular and infection microbiology · 2022
    Article
  6. Article
  7. Variances in BCG protection against COVID-19 mortality: A global assessment.Journal of clinical tuberculosis and other mycobacterial diseases · 2021
    Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Review
  13. Review
  14. Current trends in tuberculosis vaccine.Medical journal, Armed Forces India · 2019
    Review
  15. 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

1 author.

Ian M OrmeColorado State University, Fort Collins, Colorado, USA ian.orme@colostate.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Traditionally, the design of new vaccines directed against Mycobacterium tuberculosis, the most successful bacterial pathogen on the planet, has focused on prophylactic candidates that would be given to individuals while they are still young. It is becoming more apparent, however, that there are several types of vaccine candidates now under development that could be used under various conditions. Thus, in addition to prophylactic vaccines, such as recombinant Mycobacterium bovis BCG or BCG-boosting vaccines, other applications include vaccines that could prevent infection, vaccines that could be given in emergency situations as postexposure vaccines, vaccines that could be used to facilitate chemotherapy, and vaccines that could be used to reduce or prevent relapse and reactivation disease. These approaches are discussed here, including the type of immunity we are trying to specifically target, as well as the limitations of these approaches.

Indexed as

Tuberculosis VaccinesAnimalsAntitubercular AgentsBCG VaccineHumansMycobacterium bovisMycobacterium tuberculosisPost-Exposure ProphylaxisSecondary PreventionTuberculosisAntitubercular AgentsBCG VaccineTuberculosis Vaccines

Identifiers

PMID25540272
PMCPMC4340897

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.