Evidence map›Paper›PMID 32429309›Full record

ArticleMicroorganisms2020

Mathematical Modelling Using Predictive Biomarkers for the Outcome of Canine Leishmaniasis upon Chemotherapy.

Rafaela de Sousa Gonçalves, Flaviane Alves de Pinho, Ricardo Jorge Dinis-Oliveira, Rui Azevedo, Joana Gaifem, Daniela Farias Larangeira, Eduardo Milton Ramos-Sanchez, Hiro Goto, Ricardo Silvestre, Stella Maria Barrouin-Melo

Open access · goldAbstract read
In one paragraph

Article in Microorganisms, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 26% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Feline Leishmaniasis Caused byFrontiers in veterinary science · 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

10 authors at 5 institutions in 3 countries.

Rafaela de Sousa GonçalvesLaboratory of Veterinary Infectious Diseases, Teaching Hospital of Veterinary Medicine, Federal University of Bahia, 40170-110 Salvador, BA, Brazil.
Flaviane Alves de PinhoLaboratory of Veterinary Infectious Diseases, Teaching Hospital of Veterinary Medicine, Federal University of Bahia, 40170-110 Salvador, BA, Brazil.
Ricardo Jorge Dinis-OliveiraDepartment of Public Health and Forensic Sciences, and Medical Education, Faculty of Medicine, University of Porto, 4200-319 Porto, Portugal.
Rui AzevedoDepartment of Sciences, IINFACTS-Institute of Research and Advanced Training in Health Sciences and Technologies, University Institute of Health Sciences (IUCS), CESPU, CRL, 4585-116 Gandra, Portugal.
Joana GaifemLife and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, 4710-057 Braga, Portugal.
Daniela Farias LarangeiraLaboratory of Veterinary Infectious Diseases, Teaching Hospital of Veterinary Medicine, Federal University of Bahia, 40170-110 Salvador, BA, Brazil.
Eduardo Milton Ramos-SanchezLaboratory of Seroepidemiology and Immunobiology, Institute of Tropical Medicine, Faculdade de Medicina, Universidade de São Paulo, Sao Paulo 05403-000, Brazil.
Hiro GotoLaboratory of Seroepidemiology and Immunobiology, Institute of Tropical Medicine, Faculdade de Medicina, Universidade de São Paulo, Sao Paulo 05403-000, Brazil.
Ricardo SilvestreLife and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, 4710-057 Braga, Portugal.
Stella Maria Barrouin-MeloLaboratory of Veterinary Infectious Diseases, Teaching Hospital of Veterinary Medicine, Federal University of Bahia, 40170-110 Salvador, BA, Brazil.
Universidade Federal da Bahia · BRUniversidade de São Paulo · BRUniversity of Minho · PTCooperativa de Ensino Superior Politécnico e Universitário · PTUniversidade do Porto · PT

Funding

CESPU Chronic-TramTap_CESPU_2017CESPU TramTap-CESPU-2016CESPU TraTapMDMA-CESPU-2018Conselho Nacional de Desenvolvimento Científico e Tecnológico 303621/2015-0Conselho Nacional de Desenvolvimento Científico e Tecnológico 307813/2018-5Coordenação de Aperfeiçoamento de Pessoal de Nível Superior 88881.189587/2018-01Fundação de Amparo à Pesquisa do Estado da Bahia PRONEM 498/2011-PNE 0002/2011Fundação para a Ciencia e Tecnologia IF/00021/2014Infect-Era INLEISHNorthern Portugal Regional Operational Programme (NORTE 2020) NORTE-01-0145-FEDER-000013
6 · The paper itself

Abstract

Prediction parameters of possible outcomes of canine leishmaniasis (CanL) therapy might help with therapeutic decisions and animal health care. Here, we aimed to develop a diagnostic method with predictive value by analyzing two groups of dogs with CanL, those that exhibited a decrease in parasite load upon antiparasitic treatment (group: responders) and those that maintained high parasite load despite the treatment (group: non-responders). The parameters analyzed were parasitic load determined by q-PCR, hemogram, serum biochemistry and immune system-related gene expression signature. A mathematical model was applied to the analysis of these parameters to predict how efficient their response to therapy would be. Responder dogs restored hematological and biochemical parameters to the reference values and exhibited a Th1 cell activation profile with a linear tendency to reach mild clinical alteration stages. Differently, non-responders developed a mixed Th1/Th2 response and exhibited markers of liver and kidney injury. Erythrocyte counts and serum phosphorus were identified as predictive markers of therapeutic response at an early period of assessment of CanL. The results presented in this study are highly encouraging and may represent a new paradigm for future assistance to clinicians to interfere precociously in the therapeutic approach, with a more precise definition in the patient's prognosis.

Indexed as

biochemical parametershematological parametersLeishmaniamathematical modeltreatment

Identifiers

PMID32429309
PMCPMC7285289
OpenAlexW3025055423

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.