Evidence map›Paper›PMID 38392819›Full record

ArticleJournal of fungi (Basel, Switzerland)2024

Rapid Classification of Serum from Patients with Paracoccidioidomycosis Using Infrared Spectroscopy, Univariate Statistics, and Linear Discriminant Analysis (LDA).

Alessandra Koehler, Maria Lúcia Scroferneker, Nikolas Mateus Pereira de Souza, Paulo Cezar de Moraes, Beatriz Aparecida Soares Pereira, Ricardo de Souza Cavalcante, Rinaldo Pôncio Mendes, Valeriano Antonio Corbellini

Abstract read
In one paragraph

Article in Journal of fungi (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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.

Alessandra KoehlerPostgraduate Program of Medicine: Medical Sciences, Universidade Federal do Rio Grande do Sul-UFRGS, Porto Alegre 90035-003, Brazil.
Maria Lúcia ScrofernekerPostgraduate Program of Medicine: Medical Sciences, Universidade Federal do Rio Grande do Sul-UFRGS, Porto Alegre 90035-003, Brazil.
Nikolas Mateus Pereira de SouzaDepartment of Life Sciences, Universidade de Santa Cruz do Sul-UNISC, Santa Cruz do Sul 96815-900, Brazil.ORCID 0000-0002-4301-5187
Paulo Cezar de MoraesPostgraduate Program of Medicine: Medical Sciences, Universidade Federal do Rio Grande do Sul-UFRGS, Porto Alegre 90035-003, Brazil.
Beatriz Aparecida Soares PereiraTropical Diseases Area, School of Medicine, Universidade Estadual Paulista-UNESP, Botucatu 18618-687, Brazil.
Ricardo de Souza CavalcanteTropical Diseases Area, School of Medicine, Universidade Estadual Paulista-UNESP, Botucatu 18618-687, Brazil.
Rinaldo Pôncio MendesTropical Diseases Area, School of Medicine, Universidade Estadual Paulista-UNESP, Botucatu 18618-687, Brazil.ORCID 0000-0002-0661-5917
Valeriano Antonio CorbelliniDepartment of Sciences, Humanities and Education, Postgraduate Program in Health Promotion, Postgraduate Program in Environmental Technology, Universidade de Santa Cruz do Sul-UNISC, Santa Cruz do Sul 96815-900, Brazil.ORCID 0000-0002-8052-5354

Funding

National Council for Scientific and Technological Development Process number 442448/2019-8
6 · The paper itself

Abstract

Paracoccidioidomycosis (PCM) is a systemic mycosis that is diagnosed by visualizing the fungus in clinical samples or by other methods, like serological techniques. However, all PCM diagnostic methods have limitations. The aim of this study was to develop a diagnostic tool for PCM based on Fourier transform infrared (FTIR) spectroscopy. A total of 224 serum samples were included: 132 from PCM patients and 92 constituting the control group (50 from healthy blood donors and 42 from patients with other systemic mycoses). Samples were analyzed by attenuated total reflection (ATR) and a

Indexed as

Fourier transform infrared spectroscopylinear discriminant analysisparacoccidioidomycosisphotodiagnosisROC curvesystemic mycosis

Identifiers

PMID38392819
PMCPMC10890592

What OpenQuestion holds

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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.