Evidence map›Paper›PMID 36767983›Full record

ArticleInternational journal of environmental research and public health2023

Public Perceptions on the Policy of Electronic Cigarettes as Medical Products on Twitter.

Xubin Lou, Pinxin Liu, Zidian Xie, Dongmei Li

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Observational
  5. Observational
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

4 authors.

Xubin LouGoergen Institute for Data Science, University of Rochester, Rochester, NY 14627, USA.
Pinxin LiuDepartment of Computer Science, University of Rochester, Rochester, NY 14627, USA.
Zidian XieDepartment of Clinical and Translational Research, University of Rochester Medical Center, Rochester, NY 14642, USA.
Dongmei LiDepartment of Clinical and Translational Research, University of Rochester Medical Center, Rochester, NY 14642, USA.ORCID 0000-0001-9140-2483

Funding

Vaporized Nicotine Product Initiation Among Youth in the US, Canada, and England: Methods to Predict Uptake and Policy EfficacyP01CA200512 · NCI · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI FONG, GEOFFREY T · 2016 to 2025
$25.3M
WNY Center for Research on Flavored Tobacco Products (CRoFT)U54CA228110 · NCI · ROSWELL PARK CANCER INSTITUTE CORP · PI OSSIP, DEBORAH J · 2018 to 2022
$19.8M
NCI NIH HHS P01 CA200512NCI NIH HHS U54 CA228110
6 · The paper itself

Abstract

Starting from 1 October 2021, Australia requires a prescription for purchasing nicotine vaping products. On 29 October 2021, the UK provided a guideline to treat e-cigarettes as medical products. This study aims to understand public perceptions of the prescription policy in Australia and the UK on Twitter. Tweets related to e-cigarettes from 20 September 2021 to 31 December 2021 were collected through Twitter streaming API. We adopted both a human and machine learning model to identify a total of 1795 tweets from the UK and Australia related to the prescription policy. We classified them into pro-policy, anti-policy, and neutral-to-policy groups, and further characterized tweets into different topics. Compared to Australia, the proportion of pro-policy tweets in the UK was significantly higher (19.43% vs. 10.92%,

Indexed as

Electronic Nicotine Delivery SystemsSmoking CessationSocial MediaVapingHumansNicotinePublic OpinionSmokingNicotineelectronic cigarettesmedical productspublic perceptionTwitter

Identifiers

PMID36767983
PMCPMC9915110

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.