MétaCan
Menu
Retour à la cohorte
Enregistrement W2602841318 · doi:10.1111/jgs.14820

Periodontitis and Dementia: A Spurious Causal Relationship?

2017· letter· en· W2602841318 sur OpenAlexaff
Claire Godard‐Sebillotte, Nadia Sourial, Jay S. Kaufman

Notice bibliographique

RevueJournal of the American Geriatrics Society · 2017
Typeletter
Langueen
DomaineDentistry
ThématiqueDental Health and Care Utilization
Établissements canadiensMcGill University Health CentreMcGill University
Organismes subventionnairesnon disponible
Mots-clésDementiaMedicineDiseasePeriodontitisGerontologyPsychiatryIntensive care medicinePathologyInternal medicine

Résumé

récupéré en direct d'OpenAlex

To the Editor: We found the article by Lee et al. about periodontitis as a modifiable risk factor for dementia to be of great interest.1 As epidemiologists and geriatricians, we appreciate the potential impact of the findings because prevention of dementia is a critical public health priority in our aging populations. However, we would like to highlight some concerns about the study methods used by the authors to support their claim that periodontitis is a modifiable cause of dementia. Our first concern is about the exclusion criterion of dementia cases. The authors limited their exclusion of subjects with a diagnosis of dementia to those with a diagnosis of dementia within 1 year of the periodontitis index date. This design feature could lead to two significant problems: reverse causation and insufficient time for the underlying pathophysiological processes to occur. First, their exclusion criterion might not be sufficient to ensure that the onset of periodontitis preceded the onset of dementia. Current evidence suggests that a formal diagnosis of dementia is not made in 40–50% of persons living with dementia in high-income countries.2 When a diagnosis is eventually made, it can often be years after the actual onset of the disease.3 Moreover, the authors used ICD-9 codes to determine cases of dementia through administrative data. This method is particularly sensitive to selecting persons at more advanced stage of the disease.4 It is therefore quite plausible that a significant proportion of the study sample exhibited undiagnosed pre-clinical and clinical dementia prior to the periodontitis index date. These persons might have, because of their neurocognitive disorder, nutritional deficiencies or behavioural problems leading them to refuse or neglect oral care leading to poor oral health and periodontitis. This likely situation would result in reserve causation where dementia would, in fact, be preceding periodontitis. Moreover, the exclusion criterion does not account for the time needed for the underlying pathophysiological processes to occur. Two pathological processes could be at play in the potential causal relationship between periodontitis and dementia: periodontitis generates systemic inflammation and, in turn, systemic inflammation could increase the risk for development and progression of dementia by stimulating the production of beta-amyloid and tau protein in brain tissue, or promote thrombogenesis and lead to microvascular pathology.1, 5 The time needed for inflammation to lead to dementia is rarely discussed in the literature.6 In one study reporting the time needed for inflammation to lead to dementia, authors found that inflammation markers in periodontitis increase years before the onset of dementia and the median time between elevated serum immunoglobulin and diagnosis of dementia is almost 10 years.5 Therefore, the time allowed by the authors between periodontitis index date and diagnosis of dementia seems too short to support a causal relationship. Our second concern is about the potential confounding effect of education on the association between periodontitis and dementia. Stewart et al. have shown that education is a confounder in the relationship between almost all oral health measures and cognitive impairment.7 Lee et al. made an attempt to account for possible related sources of confounding in their analysis by adjusting for geographic region and urbanization level. Populations living in urbanized vs less urbanized areas might differ according to educational status. However, as Borell et al. have shown, adjusting for region or neighborhood is not sufficient to account for the relationship between education and periodontitis.8 The association between low education and developing periodontitis can remain as strong as a two-fold odds ratio even after adjusting for neighbourhood of residence.8 Therefore, the lack of adequately controlling for education in the analysis may have produced a spurious association between periodontitis and dementia. Mentioning the plausibility of a confounded association is critical in discussing the internal validity of the results. Sensitivity analyses to determine the potential magnitude of this bias are also strongly recommended.9 These three concerns generate considerable uncertainty regarding any putative causal relationship between periodontitis and dementia. While the authors' results are promising, a more thorough study allowing for a sufficient delay between periodontitis and dementia as well as adjustments for education and socioeconomic status would help to validate the claim of periodontitis prevention as a mean to prevent dementia. Conflicts of Interest: None. Funding: None. Author Contributions: Godard-Sebillotte has made substantial contributions to the conception, interpretation of the findings, drafted the article, and gave final approval of the version to be published. Sourial made substantial contributions to the interpretation of the findings, revised it critically for important intellectual content, and gave final approval of the version to be published. Kaufman made substantial contributions to the conception and interpretation of the findings, revised it critically for important intellectual content, and gave final approval of the version to be published. All the authors are accountable for the parts of the work he or she has done, authors are able to identify which co-authors are responsible for specific other parts of the work. In addition, authors have confidence in the integrity of the contributions of their co-authors.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,015
score de la tête « metaresearch » (Gemma)0,108
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,017
Score d'incertitude au seuil0,081

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0150,108
Méta-épidémiologie (sens strict)0,0020,001
Méta-épidémiologie (sens large)0,0040,001
Bibliométrie0,0020,002
Études des sciences et des technologies0,0020,003
Communication savante0,0040,005
Science ouverte0,0060,002
Intégrité de la recherche0,0170,023
Charge utile insuffisante (le modèle a refusé de juger)0,0050,002

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.

Tête enseignante Opus0,017
Tête enseignante GPT0,293
Écart entre enseignants0,276 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreCommentaire

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations2
Publié2017
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueJournal of the American Geriatrics SocietyMême sujetDental Health and Care UtilizationTravaux en français237 207