Evidence map›Paper›PMID 22185668›Full record

ArticleJournal of medical case reports2011

Successful smoking cessation with electronic cigarettes in smokers with a documented history of recurring relapses: a case series.

Pasquale Caponnetto, Riccardo Polosa, Cristina Russo, Carmelo Leotta, Davide Campagna

Abstract read
In one paragraph

Article in Journal of medical case reports, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 3 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

41 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  16. Article
  17. The Role of Nicotine Dependence in E-Cigarettes' Potential for Smoking Reduction.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2018
    Article
  18. Electronic cigarettes: what are they and what do they do?Annals of the New York Academy of Sciences · 2017
    Review
  19. Article
  20. Views of Experienced Electronic Cigarette Users.Addiction research & theory · 2016
    Article
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

5 authors.

Pasquale CaponnettoCentro per la Prevenzione e Cura del Tabagismo (CPCT), Dipartimento di Biomedicina Clinica e Molecolare, Azienda Ospedaliero-Universitaria "V, Emanuele-Policlinico", Università di Catania, Catania, Italy. p.caponnetto@unict.it.
Riccardo Polosa
Cristina Russo
Carmelo Leotta
Davide Campagna

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionSmoking cessation programs are useful in helping smokers to quit, but smoking is a very difficult addiction to break and the need for novel and effective approaches to smoking cessation interventions is unquestionable. The E-cigarette is a battery-powered electronic nicotine delivery device that may help smokers to remain abstinent during their quit attempt. We report for the first time objective measures of smoking cessation in smokers who experimented with the E-cigarette. CASE PRESENTATION: Three Caucasian smokers (two men aged 47 and 65 years and one woman aged 38 years) with a documented history of recurring relapses were able to quit and to remain abstinent for at least six months after taking up an E-cigarette.

conclusionsThis is the first time that objective measures of smoking cessation are reported for smokers who quit successfully after using an E-cigarette. This was accomplished in smokers who repeatedly failed in previous attempts with professional smoking cessation assistance using the usual nicotine dependence treatments and smoking cessation counselling.

Identifiers

PMID22185668
PMCPMC3276453

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.