Evidence map›Paper›PMID 27529060›Full record

ReviewImmunoTargets and therapy2016

Immunotherapy for tuberculosis: future prospects.

Getahun Abate, Daniel F Hoft

Open access · goldAbstract readReview
In one paragraph

Review in ImmunoTargets and therapy, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
3.6field-weighted citation impact, top 8% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 44 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Efficacy ofFrontiers in medicine · 2026
    Article
  4. Review
  5. An HLA-E-targeted TCR bispecific molecule redirects T cell immunity against Mycobacterium tuberculosis.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  6. Review
  7. Article
  8. Review
  9. Review
  10. Vaccines · 2020
    Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Review
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 2 institutions in 1 country.

Getahun AbateDepartment of Internal Medicine, Division of Infectious Diseases, Allergy and Immunology.
Daniel F HoftDepartment of Internal Medicine, Division of Infectious Diseases, Allergy and Immunology; Department of Molecular Microbiology and Immunology, Saint Louis University, St. Louis, MO, USA.
National Institute of Allergy and Infectious Diseases · USSaint Louis University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tuberculosis (TB) is still a major global health problem. A third of the world's population is infected with Mycobacterium tuberculosis. Only ~10% of infected individuals develop TB but there are 9 million TB cases with 1.5 million deaths annually. The standard prophylactic treatment regimens for latent TB infection take 3-9 months, and new cases of TB require at least 6 months of treatment with multiple drugs. The management of latent TB infection and TB has become more challenging because of the spread of multidrug-resistant and extremely drug-resistant TB. Intensified efforts to find new TB drugs and immunotherapies are needed. Immunotherapies could modulate the immune system in patients with latent TB infection or active disease, enabling better control of M. tuberculosis replication. This review describes several types of potential immunotherapies with a focus on those which have been tested in humans.

Indexed as

HDTimmunotherapytreatmenttuberculosis

Identifiers

PMID27529060
PMCPMC4970630
OpenAlexW2341350942

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.