ArticleTobacco induced diseases2015
Twitter users' reaction to a chain pharmacy's decision to end tobacco sales.
Article in Tobacco induced diseases, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
2 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Methods for Coding Tobacco-Related Twitter Data: A Systematic Review.Journal of medical Internet research · 2017Pooled it
- Perceptions of Menthol Cigarettes Among Twitter Users: Content and Sentiment Analysis.Journal of medical Internet research · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
backgroundReducing the number of tobacco outlets may help reduce smoking uptake and use; public support for such action is essential. We explored how Twitter users responded to the announcement by US pharmacy chain CVS that it was voluntarily ending tobacco sales.
methodsWe used Twitter's application programming interface to retrieve tweets and retweets posted over an 8-day period in February 2014 that contained two trending CVS-related hashtags (#cvs and #cvsquits). We manually coded 6,257 tweets as positive, negative, or neutral.
resultsThe majority of tweets were positive (56.0 %) or neutral (39.4 %).
conclusionsThere was little disapproval of CVS's decision to end tobacco sales among Twitter users, possibly due to the voluntary nature of the decision. The level of support suggests that CVS's image and bottom line will not suffer as a result. Further voluntary actions to end tobacco sales - which may lay the groundwork for legislation -- should be incentivized and supported.
Identifiers
What OpenQuestion holds
Registered trials
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.