Evidence map›Paper›PMID 42498787›Full record

ArticleAnalytical and bioanalytical chemistry2026

Rapid identification of feline sporotrichosis by ATR-FTIR spectroscopy coupled with machine learning.

Eric Luiz Domingos, Ahmad Kassem El Zein, Monica Surek, Haroldo Greca Junior, Izabella Castilhos Ribeiro Dos Santos-Weiss, Luana Mota Ferreira, Roberto Pontarolo

Abstract read
In one paragraph

Article in Analytical and bioanalytical chemistry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Eric Luiz DomingosPostgraduate Program in Pharmaceutical Sciences, Universidade Federal Do Paraná, 623, Prefeito Lothario Meissner Avenue, Jardim Botânico, Curitiba, Paraná, 80210-170, Brazil.
Ahmad Kassem El ZeinPostgraduate Program in Pharmaceutical Sciences, Universidade Federal Do Paraná, 623, Prefeito Lothario Meissner Avenue, Jardim Botânico, Curitiba, Paraná, 80210-170, Brazil.
Monica SurekEmbrapa Semiárido, BR-428 Highway, Km 152, Rural Area, Petrolina, Pernambuco, Brazil.
Haroldo Greca JuniorZoonosis Surveillance Unit, Secretaria Municipal de Saúde de São José Dos Pinhais, 237, Quirino Zagonel Street, São José Dos Pinhais, Braga, Paraná, Brazil.
Izabella Castilhos Ribeiro Dos Santos-WeissDepartment of Clinical Analysis, Universidade Federal Do Paraná, 623, Prefeito Lothario Meissner Avenue, Jardim Botânico, Curitiba, Paraná, Brazil.
Luana Mota FerreiraPostgraduate Program in Pharmaceutical Sciences, Universidade Federal Do Paraná, 623, Prefeito Lothario Meissner Avenue, Jardim Botânico, Curitiba, Paraná, 80210-170, Brazil.
Roberto PontaroloPostgraduate Program in Pharmaceutical Sciences, Universidade Federal Do Paraná, 623, Prefeito Lothario Meissner Avenue, Jardim Botânico, Curitiba, Paraná, 80210-170, Brazil. pontarolo@ufpr.br.ORCID http://orcid.org/0000-0002-7049-4363

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Feline sporotrichosis is a zoonotic subcutaneous mycosis of major relevance in endemic regions of Latin America, particularly in Brazil. Current diagnostic methods are limited by turnaround time, specificity, and cost. In this context, spectroscopy combined with machine learning has emerged as a promising alternative. This study aimed to develop and validate predictive models for the rapid and minimally invasive diagnosis of feline sporotrichosis using ATR-FTIR spectroscopy applied to plasma samples. Seventy-five cats were included and classified by fungal culture as the reference standard. Plasma samples were analyzed by ATR-FTIR (4000-400 cm⁻

Indexed as

Cat DiseasesMachine LearningSporotrichosisAnimalsCatsRandom ForestSpectroscopy, Fourier Transform InfraredATR-FTIR spectroscopyDiagnostic modelFeline sporotrichosisMachine learningOne Health

Identifiers

PMID42498787
PMCPMC13585890

What OpenQuestion holds

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Registered trials

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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.