Periodontal disease and perinatal outcomes: a case‐control study
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.
Bibliographic record
Abstract
AIM: Our aim was to measure the association of maternal periodontitis with low birth weight (LBW), pre-term LBW, and intra-uterine growth restriction. MATERIAL AND METHODS: An inclusive case-control design including subjects examined for periodontitis through attachment loss, information on perinatal outcomes and general health. Data were analysed through conditional logistic regression. RESULTS: Cases (n=304) and controls (n=611) had similar prevalence and severity of periodontitis, defined as at least three sites, in different teeth, with loss of three or more millimetres of clinical attachment level. Several factors were associated with the outcome, but the crude odds ratio for periodontitis was not significant. Odds ratio were 0.93 [95% confidence interval (CI): 0.63-1.41] for LBW and 0.92 (95% CI:0.54-1.57) for pre-term LBW in the presence of periodontitis, after adjustment for maternal age, previous pregnancies, pre-natal care, smoking, previous low birth or premature birth and other medical conditions, on a hierarchical model. CONCLUSIONS: Results do not support the hypothesis of association observed in previous studies after appropriate controlling for confounding variables. Negative peri-natal outcomes are better explained by determinants other than periodontal health. This study adds to the growing body of literature on the relationship between periodontal diseases and systemic health.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it