Evidence map›Paper›PMID 35900475›Full record

ArticleArchives of microbiology2022

A computer vision chemometric-assisted approach to access pH and glucose influence on susceptibility of Candida pathogenic strains.

 R Carvalho, L C G Bazana, A A Gomes, M F Ferrão, A M Fuentefria

Abstract read
PubMed Publisher
In one paragraph

Article in Archives of microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 49% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

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

5 authors at 1 institution in 1 country.

 R CarvalhoLaboratório de Pesquisa em Micologia Aplicada, Laboratory of Applied Mycology, College of Pharmacy, Annex II, Universidade Federal Do Rio Grande Do Sul, São Luís, 154, 90470-440, Porto Alegre, RS, Brazil. andersonrc87@gmail.com.ORCID http://orcid.org/0000-0002-3879-9650
L C G BazanaLaboratório de Pesquisa em Micologia Aplicada, Laboratory of Applied Mycology, College of Pharmacy, Annex II, Universidade Federal Do Rio Grande Do Sul, São Luís, 154, 90470-440, Porto Alegre, RS, Brazil.
A A GomesPrograma de Pós-Graduação em Química, Universidade Federal Do Rio Grande Do Sul (UFRGS), Porto Alegre, RS, 91501-970, Brazil.
M F FerrãoPrograma de Pós-Graduação em Química, Universidade Federal Do Rio Grande Do Sul (UFRGS), Porto Alegre, RS, 91501-970, Brazil.
A M FuentefriaLaboratório de Pesquisa em Micologia Aplicada, Laboratory of Applied Mycology, College of Pharmacy, Annex II, Universidade Federal Do Rio Grande Do Sul, São Luís, 154, 90470-440, Porto Alegre, RS, Brazil.
Universidade Federal do Rio Grande do Sul · BR

Funding

Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul 04/2016
6 · The paper itself

Abstract

Microorganisms adapt to environmental conditions as a survival strategy for different interactions with the environment. The adaptive capacity of fungi allows them to cause disease at various sites of infection in humans. In this study, we propose digital images as responses of a complete factorial 2

Indexed as

CandidaGlucoseAntifungal AgentsChemometricsComputersDrug Resistance, FungalFluconazoleHumansHydrogen-Ion ConcentrationMicrobial Sensitivity TestsAntifungal AgentsFluconazoleGlucoseCandida spp.CheckerboardFluconazoleFull-factorial designPCA-ANOVApH

Identifiers

PMID35900475
OpenAlexW4288442910

What OpenQuestion holds

Textmetadata
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.