Evidence map›Paper›PMID 41551288›Full record

ArticleNIHR open research2025

Scoping of Policy Impacts for Regulating E-cigarettes (SPIRE): findings from a data and decision analytic model mapping project.

Hazel Squires, Duncan Gillespie, Loren Kock, Emma Hock, Rosemary Hiscock, Ilze Bogdanovica, Calum Lewis, Deborah Robson, Filippos Filippidis, Tessa Langley and 11 more

Abstract read
In one paragraph

Article in NIHR open research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Toxicity and Appeal of Flavoured E-Cigarettes and Flavour Ban Outcomes: A Narrative Review.International journal of environmental research and public health · 2026
    Review
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

21 authors.

Hazel SquiresThe University of Sheffield, Sheffield, England, UK.
Duncan GillespieThe University of Sheffield, Sheffield, England, UK.ORCID https://orcid.org/0000-0003-3450-5747
Loren KockBehavioural Science and Health, University College London, London, England, UK.
Emma HockThe University of Sheffield, Sheffield, England, UK.
Rosemary HiscockUniversity of Bath, Bath, England, UK.
Ilze BogdanovicaUniversity of Nottingham, Nottingham, England, UK.
Calum LewisThe University of Sheffield, Sheffield, England, UK.
Deborah RobsonKing's College London School of Academic Psychiatry, London, England, UK.
Filippos FilippidisImperial College London School of Public Health, London, England, UK.
Tessa LangleyUniversity of Nottingham, Nottingham, England, UK.
Emily PulsfordThe University of Sheffield, Sheffield, England, UK.
Mark ClowesThe University of Sheffield, Sheffield, England, UK.
Sarah JacksonBehavioural Science and Health, University College London, London, England, UK.
Ann McNeillKing's College London School of Academic Psychiatry, London, England, UK.
John MeheganUniversity of Bath, Bath, England, UK.
Anthony LavertyImperial College London School of Public Health, London, England, UK.
Iona FitzpatrickUniversity of Bath, Bath, England, UK.
Alan BrennanThe University of Sheffield, Sheffield, England, UK.ORCID https://orcid.org/0000-0002-1025-312X
Robin PurshouseThe University of Sheffield, Sheffield, England, UK.
Jamie BrownBehavioural Science and Health, University College London, London, England, UK.ORCID https://orcid.org/0000-0002-2797-5428
Lion ShahabBehavioural Science and Health, University College London, London, England, UK.ORCID https://orcid.org/0000-0003-4033-442X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: E-cigarettes, also known as vapes, are lower risk products compared to conventional cigarettes, that can aid smoking cessation. However, they have been developed to also appeal to people who do not smoke, and are not harm-free. The challenge is for vaping policy to support smokers to quit whilst also protecting non-smokers from starting. Simulation modelling can be used to synthesise existing evidence and make predictions about policy impacts. This research aims to identify (a) data sources that can inform modelling of vape policies in the United Kingdom (UK) and (b) gaps in data that are required to undertake appropriate modelling. Methods: We held stakeholder workshops with academic experts, policy makers and public members to understand the requirements of a simulation model of vaping policy and existing data. Based on the findings of the first workshop and a review of existing modelling studies, we undertook a set of targeted rapid reviews to augment key existing reviews. We also developed a dataset dictionary. From these, we developed key recommendations about data collection and modelling. Results: There is substantial UK evidence around many of the transitions between smoking and vaping behaviours, but these have not yet been estimated simultaneously. We also identified 25 UK studies assessing the socioeconomic, psychological and social network influences on vaping behaviours. However, there is limited evidence about the effectiveness of vaping policies in the UK, the impact of industry circumvention, the health harms of vaping for people who have never smoked, longer term evidence on the smoking harms of vaping and the use and impact of illegal vapes. Conclusions: Addressing the identified gaps in the evidence will require targeted new research. By fostering collaboration across disciplines and ensuring transparency and consistency in modelling, the UK can build a credible, evidence-based foundation for shaping effective vape regulation.

Indexed as

data mappingdata synthesise-cigarettemodelnicotinepolicytobaccoUK

Identifiers

PMID41551288
PMCPMC12805243

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.