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Record W2884958330 · doi:10.5539/jmbr.v8n1p108

Evaluation the Relationship Between Serum and Salivary Levels of 25(OH)Vit.D with Type II Diabetes in Newly Diagnosed Diabetics

2018· article· en· W2884958330 on OpenAlex
Hamidreza Abdolsamadi, Mohammad Vahedi, Shiva Borzouei, Ali Reza Soltanian, ‌Ali Hosseini, Meghdad Zakavati Avval

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Molecular Biology Research · 2018
Typearticle
Languageen
FieldMedicine
TopicSalivary Gland Disorders and Functions
Canadian institutionsnot available
Fundersnot available
KeywordsSalivaMedicineDiabetes mellitusInternal medicineGastroenterologyType 2 diabetesSignificant differenceRisk factorEndocrinologyPhysiology

Abstract

fetched live from OpenAlex

Introduction: The International Diabetes Federation (IDF) Announces 415 million people around the world are suffering from diabetes. There is a high proportion of UDM (undiagnosed diabetes) at the level of the world and particularly in developing countries. The number of people with UDM in Iran in 2015 are 2197.96 per 1000. Vitamin D3 deficiency is associated with increased risk of type 2 diabetes and for a long time, been recognized as a risk factor for glucose intolerance. Salivary composition, as the mirror of oral health, its use as a diagnostic tool is increasing and diabetes is also can be effective on the flow rate of saliva and its compounds. Analysis of saliva can be used as part of the evaluation of endocrine function. Material and Methods: In this case-control study in 2016 in Hamadan, we selected 57 newly diagnosed patients with type 2 diabetes mellitus with mean aged 47.73 years and 57 healthy controls with mean aged 45.36 years. By using Spitting method, 5ml of completely unstimulated saliva samples were collected from diabetic patients and control subjects. The serum and saliva 25(OH)Vit.Dconcentrations were measured by ELISA. The results are analyzed by SPSS 16.Results: Significant difference was found in serum concentrations between the two groups (p<0.001). But in unstimulated whole salivary 1, 25(OH) 2D3 concentrations between the two groups, difference was not significant and the relationship, was reversed. There was a significant correlation (P=0.013) between serum and saliva 1, 25(OH) 2D3concentrations in the control group. In other words, the correlation was approximately 0.33. Correlation between serum and saliva 1, 25(OH) 2D3 concentrations in case group was not significant. Serum levels of 1, 25(OH) 2D3 in 21.1% of control group, showed the inadequate level (Vit.D3= 20-29ng/ml) and in the case group, showed the critical situation and overall 91.2% of the newly diagnosed diabetics, suffered from lack of vitamin D3. According to the salivary levels of 1, 25(OH) 2D3, in general, a total of 58% of the case group, have deficiency of vitamin D3.Conclusion: The results was confirmed vitamin D3 deficiency in participating in the study population (both case and control). The findings showed that there is lower concentration of 1, 25(OH) 2D3 in serum and after that in saliva in diabetic patients that newly diagnosed. Saliva would play a helpful diagnostic role in the early detection, the monitoring and progression of diabetes, but still serum is the better method for detecting vit.D3 levels and more research needs to be done on saliva for detecting Vit.D3 concentrations.

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.

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)0.003
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 score0.007
Threshold uncertainty score0.356

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.003
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 science0.0000.000
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 head0.158
GPT teacher head0.428
Teacher spread0.271 · 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