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Record W2501463990 · doi:10.17925/use.2012.08.01.35

Periodontitis in Patients with Diabetes A Complication that Impacts on Metabolic Control

2012· article· en· W2501463990 on OpenAlexaff
Corneliu Sima, Michael Glogauer

Bibliographic record

VenueUS Endocrinology · 2012
Typearticle
Languageen
FieldDentistry
TopicOral microbiology and periodontitis research
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMedicineGlycemicDiabetes mellitusPeriodontistPeriodontitisIntensive care medicineRandomized controlled trialClinical trialMetabolic control analysisInternal medicineBioinformaticsEndocrinologyDentistry

Abstract

fetched live from OpenAlex

Diabetes and periodontal diseases (PDs) exhibit a bidirectional relationship centered on an enhanced inflammatory response that manifests both locally and systemically. Diabetes is an established risk factor for PD, whereas the treatment of the latter has been shown to improve glycemic control in diabetic patients. Although compelling evidence from in vitro and animal studies supports a plausible biological explanation for the relationship between the two conditions centered on systemic low-grade inflammation, the limited number of comparable large randomized clinical trials is reflected in the limited specific guidelines offered by the international organizations for diabetes and periodontitis regarding the management of the two diseases in an individual. Further understanding of the biological phenomena underlying PDs and diabetes is critical for individual therapeutic approaches to patients with both conditions by endocrinologists and periodontists.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.016
GPT teacher head0.268
Teacher spread0.252 · 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 source (direct Gemma or distilled Codex), 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

Citations3
Published2012
Admission routes1
Has abstractyes

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