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Periodontitis in non‐smoking type 1 diabetic adults: a cross‐sectional study

2011· article· en· W2122028159 on OpenAlexaff
Penny Hodge, Douglas Robertson, Kenneth R. Paterson, Gillian L. Smith, Siobhan Creanor, Andrea Sherriff

Bibliographic record

VenueJournal Of Clinical Periodontology · 2011
Typearticle
Languageen
FieldDentistry
TopicOral microbiology and periodontitis research
Canadian institutionsInstitute of Infection and Immunity
FundersScottish Government
KeywordsMedicinePeriodontitisInternal medicineDiabetes mellitusOdds ratioCross-sectional studyOutpatient clinicType 2 diabetesCase-control studyType 2 Diabetes MellitusDentistryPathologyEndocrinology

Abstract

fetched live from OpenAlex

AIM: To compare levels of periodontitis in non-smoking type 1 diabetic patients and controls. MATERIAL AND METHODS: Type 1 diabetic patients, aged 20-55 years, were recruited from outpatient clinics at five hospitals in Glasgow, UK. Control subjects were recruited from physiotherapy clinics, using the buddy system and through an advertisement in a free newspaper. The primary outcome was severe periodontitis defined by clinical attachment level ≥6 mm on ≥1 tooth. RESULTS: There were 34 well controlled patients (HbA1c ≤ 7.5%), 169 poorly controlled patients and 112 non-diabetic subjects. Prevalence of severe periodontitis was higher in all type 1 diabetic patients [24.1% (95% CI: 18.4-30.6%)] and poorly controlled patients [27.2% (20.7-34.6%)] than in controls [20.5% (13.5-29.2%)]. The fully adjusted odds ratios (ORs) in never smokers comparing the whole diabetic group, and the poorly controlled group, with the control group were 1.35 [0.66-2.8] (p = 0.41) and 1.58 [0.75-3.33] (p = 0.23), respectively. Mean clinical attachment level was higher in all type 1 diabetic and poorly controlled patients than in controls (both p < 0.001). CONCLUSIONS: These results indicate worse periodontal health in type 1 diabetic patients than in control subjects. TRIAL REGISTRATION: This study was registered with the UKCRN, ID: 9314 and Scottish Diabetes Research Network registration number: 128.

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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.109
GPT teacher head0.433
Teacher spread0.323 · 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.

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

Citations44
Published2011
Admission routes1
Has abstractyes

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