The association between periodontal disease and preterm birth
Notice bibliographique
Résumé
Objectives: While dental health and systemic health were once viewed as two distinct fields of research, recent empirical studies have begun evaluating the potential health-related associations connecting the two health realms. Scientists have discovered biological pathways that may link poor oral health to certain diseases, including diabetes, cardiovascular disease, and adverse pregnancy outcomes. The principal aim of this thesis is to comprehensively examine the relationship existing between periodontal disease and preterm birth. This goal will be completed in two main steps. The first objective is to evaluate this putative relationship by conducting an observational study in a cohort of pregnant Canadian women. The second objective is to systematically assess and summarize the current literature examining whether or not there exists an association between periodontal disease and preterm birth. Research design & methods: Two separate studies were conducted in order to fulfill the goal of this thesis. The first was a retrospective cohort study. We used a database consisting of 337 pregnant Canadian women recruited for a previously conducted case-control study that examined the association between periodontal disease and preeclampsia. These women were recruited at several hospitals in Quebec, Canada, and included 92 women with preeclampsia and 245 controls. We excluded the preeclamptic cases from our study as they were often induced preterm births, and evaluated the effect of periodontal disease on preterm birth in our new cohort of 245 pregnant women using multivariate logistic regression, adjusting models for maternal age, ethnicity, and income. The second consisted of a systematic review and meta-analysis, which included 37 observational studies assessing the effect of periodontal disease on the incidence of preterm birth. Studies were included if they consisted of an observational design (cohort or casecontrol), and if the exposure (periodontal disease) was clinically evaluated and diagnosed. Results: In the cohort of Canadian women, the estimated risk of preterm birth and very preterm birth were, respectively, 1.51 (95% CI 0.61-3.71) and 0.90 (0.09-8.82) times higher in women with periodontal disease compared with periodontally healthy women, although results were not statistically significant. Separately, in the meta-analysis, we identified 842 total studies through our database search, from which we excluded 805 studies that did not meet our inclusion criteria. Out of 37 studies included in the meta-analysis, 26 were case-control studies and 11 were cohort studies. Twenty-four studies suggested that periodontal disease is a risk factor for preterm birth. The pooled OR was 2.20 (95% CI 1.80-2.69). We further stratified the studies by the type of observational study, the country it was conducted in, and the definition used to define the exposure (i.e. periodontal disease). All of the pooled ORs were greater than 1, demonstrating a significant association. Conclusion: The combined results of both of these studies suggest that although some individual studies may not be sufficiently powered to display a positive association, the overall literature does suggest such a relationship. The retrospective cohort study did not demonstrate a statistically significant association between periodontal health and preterm birth; however, the small sample size may have failed to provide us with the necessary power to detect an association that may have existed. On the other hand, the meta-analysis provided strong evidence that a relationship between the two variables does exist. Health professionals should use this information to counsel pregnant women about the importance of maintaining good oral health throughout pregnancy and the possible detrimental effects of not doing so. Further research involving treatment of periodontal disease should be undertaken to evaluate if the risk of preterm birth can be reduced in these high risk women.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,008 | 0,030 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,003 |
| Bibliométrie | 0,003 | 0,004 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,002 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».