Evidence map›Paper›PMID 23959031›Full record

ReviewVirulence2013

Immunotherapy for tularemia.

Jerod A Skyberg

Open access · goldAbstract readReview
In one paragraph

Review in Virulence, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

8 citing papers in PubMed, 20 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. New therapeutic approaches for treatment of tularaemia: a review.Frontiers in cellular and infection microbiology · 2014
    Review
  8. 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 at 1 institution in 1 country.

Jerod A SkybergDepartment of Veterinary Pathobiology and Laboratory for Infectious Disease Research; University of Missouri; Columbia, MO USA.
University of Missouri · US

Funding

Vascular stabilization as a broad theraprutic platform for biodefenseU54AI065357 · NIAID · COLORADO STATE UNIVERSITY-FORT COLLINS · PI OLSON, KENNETH E · 2005 to 2013
$77.5M
CAMs as counter measures against infectious and inflammatory diseaseP01AT004986 · NCCIH · MONTANA STATE UNIVERSITY - BOZEMAN · PI JUTILA, MARK A · 2008 to 2012
$5.9M
NCCIH NIH HHS P01 AT004986NCCIH NIH HHS P01AT-04986NIAID NIH HHS N01 AI040009NIAID NIH HHS U54 AI065357NIAID NIH HHS U54AI-65357PHS HHS HHSN2662004000009
6 · The paper itself

Abstract

Francisella tularensis is a gram-negative bacterium that causes the zoonotic disease tularemia. Francisella is highly infectious via the respiratory route (~10 CFUs) and pulmonary infections due to type A strains of F. tularensis are highly lethal in untreated patients (> 30%). In addition, no vaccines are licensed to prevent tularemia in humans. Due to the high infectivity and mortality of pulmonary tularemia, F. tularensis has been weaponized, including via the introduction of antibiotic resistance, by several countries. Because of the lack of efficacious vaccines, and concerns about F. tularensis acquiring resistance to antibiotics via natural or illicit means, augmentation of host immunity, and humoral immunotherapy have been investigated as countermeasures against tularemia. This manuscript will review advances made and challenges in the field of immunotherapy against tularemia.

Indexed as

Biological Warfare AgentsBiomedical ResearchFrancisella tularensisHumansImmunoglobulins, IntravenousImmunotherapyTularemiaBiological Warfare AgentsImmunoglobulins, IntravenousbiodefenseFrancisellaimmunityimmunotherapypathogentularemia

Identifiers

PMID23959031
PMCPMC3925717
OpenAlexW2040956773

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.