Evidence map›Paper›PMID 25010815›Full record

ReviewPLoS neglected tropical diseases2014

Immune regulation during chronic visceral leishmaniasis.

Rebecca J Faleiro, Rajiv Kumar, Louise M Hafner, Christian R Engwerda

Open access · goldAbstract readReview
In one paragraph

Review in PLoS neglected tropical diseases, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
65citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 34% 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

65 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Cytotoxic CD4Parasite immunology · 2026
    Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Post-Kala-Azar Dermal Leishmaniasis.The American journal of tropical medicine and hygiene · 2024
    Article
  10. The role of CD4Frontiers in cellular and infection microbiology · 2024
    Review
  11. Article
  12. Review
  13. Review
  14. Expression Profile Analysis of Circular RNAs in Leishmaniasis.Tropical medicine and infectious disease · 2022
    Article
  15. Review
  16. Frontiers in cellular and infection microbiology · 2022
    Article
  17. Review
  18. Article
  19. Article
  20. Article

5 more citing papers are in PubMed but not listed here.

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

4 authors at 2 institutions in 1 country.

Rebecca J FaleiroQIMR Berghofer, Brisbane, Australia; Queensland University of Technology, Brisbane, Australia.
Rajiv KumarQIMR Berghofer, Brisbane, Australia.
Louise M HafnerQueensland University of Technology, Brisbane, Australia.
Christian R EngwerdaQIMR Berghofer, Brisbane, Australia.
QIMR Berghofer Medical Research Institute · AUQueensland University of Technology · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Visceral leishmaniasis is a chronic parasitic disease associated with severe immune dysfunction. Treatment options are limited to relatively toxic drugs, and there is no vaccine for humans available. Hence, there is an urgent need to better understand immune responses following infection with Leishmania species by studying animal models of disease and clinical samples from patients. Here, we review recent discoveries in these areas and highlight shortcomings in our knowledge that need to be addressed if better treatment options are to be developed and effective vaccines designed.

Indexed as

AnimalsChronic DiseaseDisease Models, AnimalHumansLeishmaniasis VaccinesLeishmaniasis, VisceralLeishmaniasis Vaccines

Identifiers

PMID25010815
PMCPMC4091888
OpenAlexW201991790

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.