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Record W1704664557 · doi:10.5539/gjhs.v8n4p89

Evaluation of Total Antioxidant Capacity of Saliva in High School Students

2015· article· en· W1704664557 on OpenAlexvenueno aff
Mahmoud Rahmani, Vahideh Ghorchi, Fatemeh Rezaei, Asad Vaisi‐Raygani

Bibliographic record

VenueGlobal Journal of Health Science · 2015
Typearticle
Languageen
FieldDentistry
TopicOral microbiology and periodontitis research
Canadian institutionsnot available
Fundersnot available
KeywordsSalivaDentistryMedicineAntioxidant capacitySignificant differenceOxidative stressInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND & OBJECTIVE: Imbalance between oxidative stress and saliva antioxidants plays a major role in initiation and spread of dental caries. The aim of this study was to evaluate the total antioxidant capacity (TAC) of saliva in dental caries. METHODS: In this case-control study which employed high school students (14-18 years), the un-stimulated saliva samples of 60 students without dental caries (control group) and 60 students with dental caries (with at least 5 teeth levels of dental caries) were gathered. Each group comprised of males (half of cases) and females (half of cases). TAC of saliva was measured by Zellbio® (Netherlands) in terms of micmol/L. The data were analyzed using the SPSS software (ver. 17.0) and t-test with considering significance level at 0.05. RESULTS: TAC of saliva was significantly lower in cases with dental caries (0.256±0.106) compared to those without dental caries (0.396±0.077); P< 0.001. There was no statistically significant difference of TAC of saliva between males (0.319±0.119) and females (0.333±0.113) irrespective of dental caries (P=0.507). CONCLUSION: The results of the study indicated that there was a reverse association between dental caries and TAC of saliva.

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)0.016
metaresearch head score (Gemma)0.001
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 score0.015
Threshold uncertainty score0.595

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0160.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.102
GPT teacher head0.442
Teacher spread0.340 · 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

Citations29
Published2015
Admission routes1
Has abstractyes

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