128 Periodontal disease in systemic lupus erythematosus: is there a link?
Bibliographic record
Abstract
Background: An association has been demonstrated between periodontal disease (PD) and rheumatoid arthritis. Less data is available for systemic lupus erythematosus (SLE) but on meta-analysis of eight studies including 1,383 participants, risk of PD in SLE cases compared to controls was significantly greater with a risk ratio of 1.76 (95% CI 1.29-2.41, p = 0.0004). Our objective was to assess PD severity in participants with SLE in a London tertiary centre. Methods: SLE patients (diagnosis by rheumatologist + Anti dsDNA/Anti Sm positive) were compared to healthy controls and non-inflammatory osteoarthritis (OA) control patients. Measures of periodontal disease were ascertained by a blinded examiner. Periodontitis was defined according to Eke & Page classification. Kruskal-Wallis test and Chi-square test were applied to test numerical and categorical data respectively. Spearman’s correlation and linear regression were used to test for correlations. Results: 100% of participants in the SLE and controls groups had either mild, moderate or severe periodontitis. All measures of PD were similar in the three groups (Table 1)
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".