Evidence map›Paper›PMID 34347331›Full record

ArticleDrug and alcohol review2021

Causality and initiation of alcohol control policy. A response to Allamani.

Jürgen Rehm, Robin C Purshouse

Abstract read
In one paragraph

Article in Drug and alcohol review, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Jürgen RehmInstitute for Mental Health Policy Research, Centre for Addiction and Mental Health, Toronto, Canada.ORCID 0000-0001-5665-0385
Robin C PurshouseDepartment of Automatic Control and Systems Engineering, University of Sheffield, Sheffield, UK.ORCID 0000-0001-5880-1925

Funding

Calibrated Agent Simulations for Combined Analysis of Drinking Etiologies (CASCADE)R01AA024443 · NIAAA · UNIVERSITY OF SHEFFIELD · PI PURSHOUSE, ROBIN · 2016 to 2020
$2.3M
Evaluation of the impact of alcohol control policies on morbidity and mortality in Lithuania and other Baltic statesR01AA028224 · NIAAA · CENTRE FOR ADDICTION AND MENTAL HEALTH · PI REHM, JUERGEN T, ŠTELEMĖKAS, MINDAUGAS · 2020 to 2024
$2.2M
NIAAA NIH HHS 1R01AA024443NIAAA NIH HHS R01 AA024443NIAAA NIH HHS R01 AA028224
6 · The paper itself

Abstract

In a recent commentary, Allamani asked how one can establish causality in epidemiological research, and specifically about causality as it relates to alcohol control policy. Epidemiology customarily uses a sufficient-component cause model, where a sufficient cause for an outcome is determined by a set of minimal conditions and events that inevitably produce the stated outcome. While this model is theoretically clear, its operationalisation often involves probabilistic elements. Recent advances in agent-based modelling may improve operationalisation. The implications for alcohol control policy from this model are straightforward: the so-called alcohol-attributable fraction denotes the cases of morbidity or mortality which would not have happened in the absence of alcohol use.

Indexed as

Alcohol DrinkingPublic PolicyCausalityCognitionHumansalcoholalcohol control policycausalityprobabilistic

Identifiers

PMID34347331
PMCPMC8963927

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.