Evidence map›Paper›PMID 24069594›Full record

ReviewBioMed research international2013

Genetic susceptibility to Chagas disease: an overview about the infection and about the association between disease and the immune response genes.

Christiane Maria Ayo, Márcia Machado de Oliveira Dalalio, Jeane Eliete Laguila Visentainer, Pâmela Guimarães Reis, Emília Ângela Sippert, Luciana Ribeiro Jarduli, Hugo Vicentin Alves, Ana Maria Sell

Open access · hybridAbstract readReview
In one paragraph

Review in BioMed research international, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 2 pooled it
3.9field-weighted citation impact, top 6% 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

27 citing papers in PubMed, 2 syntheses or guidelines pooled it, 56 citations in OpenAlex.

  1. Guideline
  2. Pooled it
  3. Article
  4. Immunogenicity ofPathogens (Basel, Switzerland) · 2025
    Article
  5. Review
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  14. Review
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  16. Review
  17. Article
  18. Article
  19. Review
  20. Genetic Polymorphisms ofJournal of immunology research · 2017
    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

8 authors at 1 institution in 1 country.

Christiane Maria AyoProgram of Biosciences Applied to Pharmacy, Department of Clinical Analysis and Biomedicine, Maringa State University, Avenida Colombo 5790, 87020900 Maringa, PR, Brazil.
Márcia Machado de Oliveira Dalalio
Jeane Eliete Laguila Visentainer
Pâmela Guimarães Reis
Emília Ângela Sippert
Luciana Ribeiro Jarduli
Hugo Vicentin Alves
Ana Maria Sell
Universidade Estadual de Maringá · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chagas disease, which is caused by the flagellate parasite Trypanosoma cruzi, affects 8-10 million people in Latin America. The disease is endemic and is characterised by acute and chronic phases that develop in the indeterminate, cardiac, and/or gastrointestinal forms. The immune response during human T. cruzi infection is not completely understood, despite its role in driving the development of distinct clinical manifestations of chronic infection. Polymorphisms in genes involved in the innate and specific immune response are being widely studied in order to clarify their possible role in the occurrence or severity of disease. Here we review the role of classic and nonclassic MHC, KIR, and cytokine host genetic factors on the infection by T. cruzi and the clinical course of Chagas disease.

Indexed as

Genetic Association StudiesGenetic Predisposition to DiseaseChagas DiseaseHost-Parasite InteractionsHumansImmunityPolymorphism, Genetic

Identifiers

PMID24069594
PMCPMC3771244
OpenAlexW2100609606

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.