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Record W4286801054 · doi:10.5812/jjhs-122029

Comparison of Effect of Aloe vera Gel and Nystatin on Candida Species: An In Vitro Study

2022· article· en· W4286801054 on OpenAlexaff
Rayehehossadat Rezvaninejad, Raziyehsadat Rezvaninejad, Mohammad Javad Ashoorian, Maryam Talebi

Bibliographic record

VenueJundishapur Journal of Health Sciences · 2022
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPhytochemistry and biological activity of medicinal plants
Canadian institutionsMcGill University
FundersHormozgan University of Medical Sciences
KeywordsAloe veraNystatinCandida albicansMinimum inhibitory concentrationCandida tropicalisCandida glabrataMicrobiologyMedicineAntifungalCorpus albicansIn vitroTraditional medicineBiologyAntibiotics

Abstract

fetched live from OpenAlex

Background: Oral candidiasis is an opportunistic fungal infection that leads to acute and chronic infections in the mouth and gastrointestinal tract. According to studies, common antifungal drugs have some side effects and sometimes fail in Candida albicans candidiasis infections. Objectives: This study aimed to compare the efficacy of Aloe vera to that of nystatin on oral Candida species in vitro. Methods: This laboratory study was prepared in vitro from a collection of fungi and bacteria in Iran. The measured inhibitory concentration was within the range of 1:1 to 1:2048. The data were analyzed using SPSS software (version 24). Results: In C. albicans species, the inhibitory concentration of Aloe vera gel was 312.5 μL/mL. The inhibitory concentrations for Candida glabrata and Candida tropicalis were 1250 and 625 μL/mL, respectively. In all groups, there was a significant relationship between Aloe vera and nystatin. Conclusions: Aloe vera gel showed antifungal properties in all tested species. The inhibitory concentrations of Aloe vera were much higher than nystatin. Therefore, to use this plant for humans, the concentration of its toxicity to humans should be estimated beforehand to avoid possible harm.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.320
Threshold uncertainty score0.225

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.065
GPT teacher head0.357
Teacher spread0.292 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations6
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueJundishapur Journal of Health SciencesSame topicPhytochemistry and biological activity of medicinal plantsFrench-language works237,207