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Enregistrement W4236065778 · doi:10.1016/s2468-2667(18)30074-4

Authors' reply

2018· letter· en· W4236065778 sur OpenAlexaff
Michaël Schwarzinger, Carole Dufouil, Jürgen Rehm

Notice bibliographique

RevueThe Lancet Public Health · 2018
Typeletter
Langueen
DomaineMedicine
ThématiqueAlcohol Consumption and Health Effects
Établissements canadiensMental Health Research CanadaPublic Health OntarioUniversity of Toronto
Organismes subventionnairesnon disponible
Mots-clésScopusMedicineDementiaCohort studyAlcohol consumptionPsychiatryCohortMEDLINEGerontologyAlcoholInternal medicinePolitical science

Résumé

récupéré en direct d'OpenAlex

We thank Alain Braillon for his comments on our study on alcohol use disorders and dementia in France.1Schwarzinger M Pollock BG Hasan OSM Dufouil C Rehm J Contribution of alcohol use disorders to the burden of dementia in France 2008–13: a nationwide retrospective cohort study.Lancet Public Health. 2018; 3: e124-e132Summary Full Text Full Text PDF PubMed Scopus (140) Google Scholar It opened up the discussion beyond the results of this study, which had to be restricted to alcohol use disorders, as our study was based on hospital records and did not include information on reported levels of alcohol consumption. Braillon is right: systematic reviews2Verbaten MN Chronic effects of low to moderate alcohol consumption on structural and functional properties of the brain: beneficial or not?.Hum Psychopharmacol. 2009; 24: 199-205Crossref PubMed Scopus (39) Google Scholar as well as large studies, including neuroimaging studies,3Topiwala A Allan CL Valkanova V et al.Moderate alcohol consumption as risk factor for adverse brain outcomes and cognitive decline: longitudinal cohort study.BMJ. 2017; 357: j2353Crossref PubMed Scopus (2) Google Scholar show that moderate alcohol consumption is linked to functional and structural impairments of the brain. This effect was found primarily in studies of people under the age of 65 years, whereas in studies focusing on older people results are more ambiguous. Future research is necessary to identify reasons for the seemingly different effects of alcohol use disorders for different ages (eg, by full adjusting for the effect of competing risks on premature death, or analysing the potential interactions between risk factors). However, we would like to point out that neuroimaging studies, such as that of Topiwala and colleagues,3Topiwala A Allan CL Valkanova V et al.Moderate alcohol consumption as risk factor for adverse brain outcomes and cognitive decline: longitudinal cohort study.BMJ. 2017; 357: j2353Crossref PubMed Scopus (2) Google Scholar which used multiple measurements of exposure, validated specific outcomes, and large population-based samples with high follow-up rates, provide stronger evidence than most of the studies in the field, which use only one measure of exposure, often failing to exclude sick-quitters, and unspecific outcomes. Thus, decision makers should rather base our policies on the precautionary principle and initiate proven effective and cost-effective measures to reduce overall consumption, such as WHO's best buys (ie, higher taxation, restrictions on availability, and a ban on advertising and marketing of alcohol).4Chisholm D Moro D Bertram M et al.Are the “best buys” for alcohol control still valid? An update on the comparative cost-effectiveness of alcohol control strategies at the global level.J Stud Alcohol Drugs. 2018; (in press).Google Scholar Even though our results regarding the effect of alcohol use disorders as the largest risk factor for all types of dementia need to be confirmed, decision makers should additionally implement preventive measures for heavy drinking, such as brief interventions or early treatment at the primary care level.5Rehm J Anderson P Manthey J et al.Alcohol use disorders in primary health care: what do we know and where do we go?.Alcohol Alcohol. 2016; 51: 422-427Crossref PubMed Scopus (102) Google Scholar As for future research, if it was possible to include alcohol use measures routinely in hospital charts, this would give us much better evidence on the impact of alcohol use for the full continuum of use patterns and would help improve our understanding of the association between alcohol use and dementia dramatically. We declare no competing interests. Contribution of alcohol use disorders to the burden of dementia in France 2008–13: a nationwide retrospective cohort studyAlcohol use disorders were a major risk factor for onset of all types of dementia, and especially early-onset dementia. Thus, screening for heavy drinking should be part of regular medical care, with intervention or treatment being offered when necessary. Additionally, other alcohol policies should be considered to reduce heavy drinking in the general population. Full-Text PDF Open Access

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,005
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesIntégrité de la recherche, Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesCharge utile insuffisante (le modèle a refusé de juger)
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 enseignants0,051
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0050,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0010,004
Charge utile insuffisante (le modèle a refusé de juger)0,0010,002

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 Opus0,349
Tête enseignante GPT0,446
Écart entre enseignants0,098 · 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; les deux têtes enseignantes s’accordent sur ce qui est montré ici.

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

Citations0
Publié2018
Routes d'admission1
Résumé présentoui

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Même revueThe Lancet Public HealthMême sujetAlcohol Consumption and Health EffectsTravaux en français237 207