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Multicentre Study of Acute Alcohol Use and Non-Fatal Injuries: Data from the WHO Collaborative Study on Alcohol and Injuries/ Etude Multicentrique De la Relation Entre Abus D'alcool et Traumatismes Non Mortels : Donnees Fournies Par Une Etude Collective Menee Par l'OMS Sur le Theme Alcools et traumatismes/Estudio Multicentrico Sobre Consumo Agudo De Alcohol Y Traumatismos No Mortales: Datos De Un Estudio

2006· article· fr· W2615007781 sur OpenAlexaboutno aff
Guilherme Borges, Cheryl J. Cherpitel, Ricardo Orozco, Jason Bond, Yu Ye, Scott Macdonald, Jürgen Rehm, Vladimir Poznyak

Notice bibliographique

RevueBulletin of the World Health Organization · 2006
Typearticle
Languefr
DomaineMedicine
ThématiqueAlcohol Consumption and Health Effects
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicineInjury preventionPoison controlEpidemiologyPopulationOccupational safety and healthSuicide preventionHuman factors and ergonomicsEnvironmental healthPublic healthCross-sectional studyMedical emergencyInternal medicinePathology
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

[TEXT NOT REPRODUCIBLE IN ASCII] Introduction Reports of alcohol use that used the case-crossover design have shown that alcohol use is a strong risk factor for all causes of non-fatal injuries among patients attending emergency departments. (1-4) These reports, along with others that have sampled patients in the general population, have concluded that alcohol use is associated with driving accidents, (5) violence, (6,7) suicide,(8) and injuries such as falls, trips and burns--that is, non-traffic injuries in general. (9-14) The unique feature of the case-crossover study is that this method allows the effect of acute alcohol use to be separated from chronic effects of consumption (such as those that occur in people who abuse alcohol or are dependent on it). (15) Both are matters of great interest to public health policy-makers, such as when trying to establish safe limits for drinking across various situations, (16) and in injury epidemiology. (17) The case-cross-over method seems especially appropriate when studying the risk of non-fatal injury among people who consume only low levels or moderate levels of alcohol, (18) when assessing differences in risk across modes of injury (1) and when determining whether alcoholics may have a different risk of non-fatal injury compared with non-dependent drinkers. (19) Although these issues have been pardally addressed in prior case-crossover reports, (1,4,20) which have found mixed results, an important factor in a detailed analysis of these issues is the small sample size used in most studies, which affects the power of the analysis of the effects on those who consume only small amounts of alcohol and the comparisons that are made across key modifiers of the effects. The WHO collaborative study on alcohol and injuries (21) is a large multicentre survey of injured patients presenting in hospitals worldwide; its data can be used to help circumvent these limitations. The goals of this paper are to report on the risk of non-fatal injury according to levels of acute use of alcohol; thus, looking at a dose-response relationship. We also seek to compare risk estimates for patients who are heavy drinkers and those who are chronic alcoholics across modes of injury. Methods Data from the WHO collaborative study on alcohol and injuries were collected in 2001-02 from emergency departments in Argentina, Belarus, Brazil, Canada, China, the Czech Republic, India, Mexico, Mozambique, New Zealand, South Africa and Sweden. The methods used were similar to those used previously in emergency department studies in a number of countries. (22) Probability samples were drawn from patients admitted within 6 hours of an injury at each site; each shift during each day of the week was represented equally in the sampling. The target sample size was 500 patients from each site. Patients were approached as soon as possible to obtain informed consent for participation in the study. The total sample size of participants aged 18 years or older was 5243 patients, representing a 91% response rate. In their interviews, researchers at two sites (Mozambique and South Africa) did not include the questions required for case-crossover analysis and their data were excluded, leaving a final sample size of 4320 participants. Interviewers were trained and supervised by study collaborators. Interviewers administered a standard 25-minute questionnaire. Further details on the sample have been presented elsewhere. (21) Interview The questionnaire was translated and then back-translated into each language; it included questions on whether the participant reported drinking during the 6 hours before the injury, an estimate of the amount of alcohol consumed during the same 6-hour period in the previous week, an estimate of the number of drinks consumed during each period, and the usual quantity of alcohol consumed and the frequency of alcohol use during the past year. …

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)0,005
score de la tête « metaresearch » (Gemma)0,011
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,031
Score d'incertitude au seuil0,061

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0050,011
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,002
Bibliométrie0,0030,007
Études des sciences et des technologies0,0010,000
Communication savante0,0010,001
Science ouverte0,0010,002
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0020,001

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 Opus0,039
Tête enseignante GPT0,335
Écart entre enseignants0,297 · 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'étudeObservationnel
Domainenon disponible
GenreEmpirique

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
Publié2006
Routes d'admission1
Résumé présentoui

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