Evidence map›Paper›PMID 41945549›Full record

ArticlePloS one2026

State impulsivity and substance use: A systematic review and meta-analysis protocol.

Ashmita Mazumder, Suzanne Erb, Marc A Fournier

Abstract read
In one paragraph

Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Ashmita MazumderDepartment of Psychology, University of Toronto Scarborough, Scarborough, Ontario, Canada.ORCID https://orcid.org/0009-0000-0004-8360
Suzanne ErbDepartment of Psychology, University of Toronto Scarborough, Scarborough, Ontario, Canada.
Marc A FournierDepartment of Psychology, University of Toronto Scarborough, Scarborough, Ontario, Canada.ORCID https://orcid.org/0000-0002-6439-346X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The association between substance use and impulsivity has been documented extensively in the literature. More recently, there has been a shift from viewing impulsivity solely as a stable trait toward examining its moment-to-moment expression in everyday life and how these fluctuations influence substance use. Despite this growing interest, there has not yet been a comprehensive meta-analysis synthesizing findings across studies. Existing reviews have largely focused on trait-level impulsivity, which limits our understanding of how impulsivity operates across real-world contexts. The aim of this proposed meta-analysis is to integrate these findings and quantify the strength of the association between everyday impulsivity and substance use, specifically alcohol, cannabis, and tobacco use. In addition, we aim to identify key moderators of this relationship. For example, we will evaluate whether the strength of association differs by substance (e.g., alcohol vs. cannabis vs. tobacco), by sample characteristics (substance-dependent vs. community), and by methodological factors. We will search major databases (e.g., PsycINFO, PubMed, Web of Science) for peer-reviewed studies as well as unpublished studies reporting associations between everyday impulsivity and substance use. Random-effects models will estimate pooled effect sizes, and subgroup/meta-regression analyses will test moderators. Overall, this proposed meta-analysis aims to provide a comprehensive estimate of the association between everyday impulsivity and alcohol, cannabis, and tobacco use.

Indexed as

Impulsive BehaviorSubstance-Related DisordersHumansMeta-Analysis as TopicSystematic Reviews as Topic

Identifiers

PMID41945549
PMCPMC13056172

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.