Evidence map›Paper›PMID 30881923›Full record

ArticleFrontiers in cellular and infection microbiology2019

Understanding Resistance vs. Susceptibility in Visceral Leishmaniasis Using Mouse Models of

Begoña Pérez-Cabezas, Pedro Cecílio, Tiago Bordeira Gaspar, Fátima Gärtner, Rita Vasconcellos, Anabela Cordeiro-da-Silva

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
6.0field-weighted citation impact, top 4% 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

22 citing papers in PubMed, 38 citations in OpenAlex.

  1. Article
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  13. Review
  14. Modulation of Splenic B Cell Subsets during ExperimentalPathogens (Basel, Switzerland) · 2021
    Article
  15. Article
  16. Role of Cytokines in Experimental and Human Visceral Leishmaniasis.Frontiers in cellular and infection microbiology · 2021
    Review
  17. Article
  18. Article
  19. Extracellular Vesicles in Trypanosomatids: Host Cell Communication.Frontiers in cellular and infection microbiology · 2020
    Review
  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

6 authors at 3 institutions in 2 countries.

Begoña Pérez-CabezasInstituto de Investigação e Inovação em Saúde, Universidade do Porto, Porto, Portugal.
Pedro CecílioInstituto de Investigação e Inovação em Saúde, Universidade do Porto, Porto, Portugal.
Tiago Bordeira GasparInstituto de Investigação e Inovação em Saúde, Universidade do Porto, Porto, Portugal.
Fátima GärtnerInstituto de Investigação e Inovação em Saúde, Universidade do Porto, Porto, Portugal.
Rita VasconcellosImmunobiology Department, Biology Institute, Universidade Federal Fluminense, Rio de Janeiro, Brazil.
Anabela Cordeiro-da-SilvaInstituto de Investigação e Inovação em Saúde, Universidade do Porto, Porto, Portugal.
i3S - Instituto de Investigação e Inovação em Saúde, Universidade do Porto · PTUniversidade do Porto · PTUniversidade Federal Fluminense · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Every year, up to 90,000 new cases of Visceral Leishmaniasis and 30,000 resultant deaths are estimated to occur worldwide. Such numbers give relevance to the continuous study of this complex form of the disease: a zoonosis and an anthroponosis; two known etiological agents (

Indexed as

Host-Pathogen InteractionsAnimalsDisease Models, AnimalDisease SusceptibilityLeishmania infantumLeishmaniasis, VisceralMiceimmune regulationLeishmaniamouse modelssusceptibility vs. resistancevisceral leishmaniasis

Identifiers

PMID30881923
PMCPMC6407322
OpenAlexW2919835656

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.