Evidence map›Paper›PMID 32074217›Full record

ReviewRevista do Instituto de Medicina Tropical de Sao Paulo2020

Novel kidney injury biomarkers in tropical infections: a review of the literature.

Gdayllon Cavalcante Meneses, Geraldo Bezerra da Silva Junior, Paulo Pacelli Bezerra Filizola Tôrres, Valeska Queiroz de Castro, Renata Lima Lopes, Alice Maria Costa Martins, Elizabeth De Francesco Daher

Open access · diamondAbstract readReview
In one paragraph

Review in Revista do Instituto de Medicina Tropical de Sao Paulo, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 13% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Kidney Injury Biomarkers in Leptospirosis.Revista da Sociedade Brasileira de Medicina Tropical · 2023
    Review
  7. Kidney complications of parasitic diseases.Nature reviews. Nephrology · 2022
    Review
  8. Review
  9. Potential Biomarkers in Diagnosis of Renal Acanthamoebiasis.International journal of molecular sciences · 2021
    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

7 authors at 2 institutions in 1 country.

Gdayllon Cavalcante MenesesUniversidade Federal do Ceará, Faculdade de Medicina, Departamento de Medicina Clínica, Programa de Pós-Graduação em Ciências Médicas, Fortaleza, Ceará, Brazil.
Geraldo Bezerra da Silva JuniorUniversidade de Fortaleza, Centro de Ciências da Saúde, Curso de Medicina, Programa de Pós-Graduação em Saúde Coletiva e Ciências Médicas, Fortaleza, Ceará, Brazil.ORCID http://orcid.org/0000-0002-8971-0994
Paulo Pacelli Bezerra Filizola TôrresUniversidade Federal do Ceará, Faculdade de Farmácia, Odontologia e Enfermagem, Programa de Pós-Graduação em Ciências Farmacêuticas, Fortaleza, Ceará, Brazil.
Valeska Queiroz de CastroUniversidade Federal do Ceará, Faculdade de Farmácia, Odontologia e Enfermagem, Programa de Pós-Graduação em Ciências Farmacêuticas, Fortaleza, Ceará, Brazil.
Renata Lima LopesUniversidade de Fortaleza, Centro de Ciências da Saúde, Curso de Medicina, Programa de Pós-Graduação em Saúde Coletiva e Ciências Médicas, Fortaleza, Ceará, Brazil.ORCID http://orcid.org/0000-0003-1655-8095
Alice Maria Costa MartinsUniversidade Federal do Ceará, Faculdade de Farmácia, Odontologia e Enfermagem, Laboratório de Nefrologia e Doenças Tropicais, Fortaleza, Ceará, Brazil.
Elizabeth De Francesco DaherUniversidade Federal do Ceará, Faculdade de Medicina, Departamento de Medicina Clínica, Programa de Pós-Graduação em Ciências Médicas, Fortaleza, Ceará, Brazil.
Universidade Federal do Ceará · BRUniversidade de Fortaleza · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tropical diseases are mainly found in the tropical regions of Asia, Africa and Latin America. They are a major Public Health problem in these regions, most of them are considered neglected diseases and remain as important contributors to the development of AKI (Acute Kidney Injury), which is associated with increased patients' morbidity and mortality. In most countries, kidney disease associated to tropical diseases is attended at health services with poor infrastructure and inadequate preventive measures. The long-term impacts of these infections on kidney tissue may be a main cause of future kidney disease in these patients. Therefore, the investigation of novel kidney injury biomarkers in these tropical diseases is of utmost importance to explain the mechanisms of kidney injury, to improve their diagnosis and prognosis, as well as the assessment to health systems by these patients. Since 2011, our group has been studying renal biomarkers in visceral and cutaneous leishmaniasis, schistosomiasis, leptospirosis and leprosy. This study has increased the knowledge on the pathophysiology of kidney disease in the presence of these infections and has contributed to the early diagnosis of kidney injury, pointing to glomerular, endothelial and inflammatory involvement as the main causes of the mechanisms leading to nephropathy and clinical complications. Future perspectives comprise establishing long-term cohort groups to assess the development of kidney disease and the patients' survival, as well as the use of new biomarkers such as urinary exosomes to detect risk groups and to understand the progression of kidney injuries.

Indexed as

Acute Kidney InjuryBiomarkersHumansLeishmaniasis, VisceralLeprosyLeptospirosisNeglected DiseasesRisk FactorsSchistosomiasisSevere DengueBiomarkers

Identifiers

PMID32074217
PMCPMC7032010
OpenAlexW3005697245

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.