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Enregistrement W4388648787 · doi:10.1111/add.16381

The unacceptability of evidence on acceptable risks

2023· article· en· W4388648787 sur OpenAlexaboutno aff
John Holmes, Colin Angus

Notice bibliographique

RevueAddiction · 2023
Typearticle
Langueen
DomaineMedicine
ThématiqueSubstance Abuse Treatment and Outcomes
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésRigourGuidelineSet (abstract data type)Consumption (sociology)Alcohol consumptionPublic healthEnvironmental healthMedicineExcessive alcohol consumptionRisk analysis (engineering)PsychologyPolitical scienceLawSociologyComputer scienceAlcohol

Résumé

récupéré en direct d'OpenAlex

The new Canadian drinking guidelines offer important steps forward in considering the extent of life lost to alcohol and recognizing that risks from alcohol increase continuously with rising consumption. However, the continued reliance upon questionable evidence to underpin decisions on the acceptability of alcohol-related risks needs addressing by future studies. In 2012, Room & Rehm wrote that the process by which health authorities set alcohol drinking guidelines suggested that those involved had ‘drawn a deep collective breath and simply voted for specific cut-off levels’ ([1], p. 137). More famously, Richard Smith described the 1995 UK guidelines that he helped to set as ‘plucked out of the air’ [2]. Since then, there have been significant efforts to impose greater rigour on the development of guidelines, particularly by using epidemiological models to identify levels of alcohol consumption that correspond to a level of ‘acceptable risk’ that is identified a priori. This approach has now been used in countries including Denmark, Australia, the United Kingdom and France [3]. The Canadian process described by Shield et al. builds usefully upon this by describing a continuum of risk, separated into zones, rather than a single guideline level [4]. This shift is a welcome and long overdue development, given plentiful evidence of risks at all levels of alcohol consumption and no clear threshold above which risks increase especially rapidly [5]. However, there are practical challenges to this approach which Shield et al. do not address. It is unclear what numerical guideline(s) should appear in the limited space provided for health messages on bottles and cans. Media focus on the low-risk level of two standard drinks a week also raised eyebrows internationally, and perhaps also in Canada, as a rather prohibitive message; although it partly reflects Canada's generous definition of a standard drink (i.e. 13.5 g of pure alcohol compared to 10.0 g in Australia and 7.9 g in the United Kingdom). Future guideline developers may wish to consider the adjectives they use to describe different levels of risk (e.g. low, increasing, moderate and little), which media messages ensure that the public consider the full range of the continuum, and whether the continuum leads to better understanding of alcohol-related risks than the traditional single guideline. Despite the potential advantages of this new approach, an important problem remains at the heart of the guideline development process. The new Canadian low- and moderate-risk thresholds are still based, broadly, on the level of alcohol consumption that corresponds respectively to a 1 in 100 and 1 in 1000 life-time risk of death from alcohol. These figures in turn come from: (i) the observation that a 1 in 1 000 000 risk of premature death is an international standard for regulation of environmental hazards and (ii) work by Starr published in 1969 suggesting that people will accept 1000 times greater risk when engaging with a hazard voluntarily rather than involuntarily [6]. The reliance upon Starr's work seems to date back to the 2009 Australian guidelines [7], but is explained more fully by Rehm et al. [8]. The reason for relying upon Starr's work is unclear, as he describes his analyses as exploratory and his conceptualization of risk as incomplete [6], limitations that should be immediately obvious to anyone who reads it. More recent research on risk extends far beyond consideration of voluntariness to also encompass consequences, emotional states, perceived control, novelty and knowledge [9]. It is also highly questionable whether a 1969 analysis of general risks provides valid evidence for setting acceptable risk thresholds for alcohol in a different country half a century later. This problem is further complicated by the fact that the new Canadian modelling focuses upon years of life lost (YLLs) rather than deaths as their key outcome. In many ways this development is welcome, as it allows recognition of the fact that alcohol deaths often occur early in the life-course, due to both the acute consequences of intoxication and the relatively low average age of death for major alcohol-attributable conditions such as liver cirrhosis. To our knowledge, however, while the evidence on acceptable levels of mortality risk may be outdated and limited, evidence regarding the acceptability of lost years of life is non-existent. The Canadian modelling attempts to address this by converting YLLs into an equivalent number of deaths, but this relies upon a number of strong assumptions that still require testing, including regarding whether risk acceptability varies across different outcomes. There is much to commend about the new Canadian drinking guidelines, but further evidence on the acceptability of alcohol-related risks and how these might differ between populations and across outcomes is urgently needed if we are to continue improving the empirical basis for low-risk drinking guidelines. Otherwise, we risk simply transferring the power of opaque decision-making away from those developing guidelines and into the hands of the modellers who provide them with evidence. John Holmes: Writing—original draft (equal); writing—review and editing (equal). Colin Robert Angus: Writing—original draft (equal); writing—review and editing (equal). There are no funders to report. None.

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)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut 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 enseignants0,166
Score d'incertitude au seuil0,338

Scores Codex et Gemma par catégorie

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

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.

Tête enseignante Opus0,199
Tête enseignante GPT0,394
Écart entre enseignants0,194 · 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 tête enseignante, 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

Citations2
Publié2023
Routes d'admission1
Résumé présentoui

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