Evidence map›Paper›PMID 35217852›Full record

ArticleAlcohol and alcoholism (Oxford, Oxfordshire)2022

Predicting the Impact of Alcohol Taxation Increases on Mortality-A Comparison of Different Estimation Techniques.

Alexander Tran, Huan Jiang, Kawon Victoria Kim, Robin Room, Mindaugas Štelemėkas, Shannon Lange, Pol Rovira, Jürgen Rehm

Abstract read
In one paragraph

Article in Alcohol and alcoholism (Oxford, Oxfordshire), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

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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

8 authors.

Alexander TranInstitute for Mental Health Policy Research, Centre for Addiction and Mental Health, 33 Ursula Franklin Street, Toronto, Ontario M5S 2S1, Canada.
Huan JiangInstitute for Mental Health Policy Research, Centre for Addiction and Mental Health, 33 Ursula Franklin Street, Toronto, Ontario M5S 2S1, Canada.
Kawon Victoria KimInstitute for Mental Health Policy Research, Centre for Addiction and Mental Health, 33 Ursula Franklin Street, Toronto, Ontario M5S 2S1, Canada.
Robin RoomCentre for Alcohol Policy Research, Building NR-1, La Trobe University, Bundoora, Victoria 3086, Australia.
Mindaugas ŠtelemėkasHealth Research Institute, Faculty of Public Health, Lithuanian University of Health Sciences, Tilžės str. 18, Kaunas 47181, Lithuania.
Shannon LangeInstitute for Mental Health Policy Research, Centre for Addiction and Mental Health, 33 Ursula Franklin Street, Toronto, Ontario M5S 2S1, Canada.
Pol RoviraProgram on Substance Abuse, Public Health Agency of Catalonia, 81-95 Roc Boronat St., Barcelona 08005, Spain.
Jürgen RehmInstitute for Mental Health Policy Research, Centre for Addiction and Mental Health, 33 Ursula Franklin Street, Toronto, Ontario M5S 2S1, Canada.ORCID 0000-0001-5665-0385

Funding

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 R01 AA028224NIH HHS 1R01AA028224
6 · The paper itself

Abstract

aimsTo examine how standard analytical approaches to model mortality outcomes of alcohol use compare to the true results using the impact of the March 2017 alcohol taxation increase in Lithuania on all-cause mortality as an example.

methodsFour methodologies were used: two direct methodologies: (a) interrupted time-series on mortality and (b) comparing predictions based on time-series modeling with the real number of deaths for the year following the implementation of the tax increase; and two indirect methodologies: (c) combining a regression-based estimate for the impact of taxation on alcohol consumption with attributable-fraction methodology and (d) using price elasticities from meta-analyses to estimate the impact on alcohol consumption before applying attributable-fraction methodology. RESULTS AND

conclusionsWhile all methodologies estimated reductions in all-cause mortality, especially for men, there was substantial variability in the level of mortality reductions predicted. The indirect methodologies had lower predictions as the meta-analyses on elasticities and risk relations seem to underestimate the true values for Lithuania. Directly estimated effects of taxation based on the actual mortalities seem to best represent the true reductions in alcohol-attributable mortality. A significant increase in alcohol excise taxation had a marked impact on all-cause mortality in Lithuania.

Indexed as

Alcoholic BeveragesCommerceAlcohol DrinkingEthanolHumansMaleTaxesEthanol

Identifiers

PMID35217852
PMCPMC9270989

What OpenQuestion holds

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Registered trials

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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.