Evidence map›Paper›PMID 32411887›Full record

ArticleTobacco prevention & cessation2019

Recommendations on how to achieve tobacco-free nations in Europe.

Marc C Willemsen, Bethany Hipple Walters, Daniel Kotz, Linda Bauld

Abstract readEditorial
In one paragraph

Article in Tobacco prevention & cessation, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Targeted Primary and Secondary Preventive Strategies for Depression among Malaysian Pharmacy Students.International journal of environmental research and public health · 2022
    Article
  4. 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

4 authors.

Marc C WillemsenDepartment of Health Promotion, Maastricht University, Maastricht, Netherlands.
Bethany Hipple WaltersNetherlands Expertise Center for Tobacco Control, Trimbos Institute, Utrecht, Netherlands.
Daniel KotzAddiction Research and Clinical Epidemiology Unit, Institute of General Practice, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany.
Linda BauldCollege of Medicine and Veterinary Medicine, Usher Institute, University of Edinburgh, Edinburgh, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

European countries vary widely in the development and implementation of effective tobacco-control programs and policies. Why some countries lag behind others is inherently a political matter. National-level policymakers struggle between the need to protect public health and the need to recognize economic and ideological considerations. Within this context, use of scientific evidence plays an important role in the policy making process. Articles 20 and 22 of the World Health Organisation's Framework Convention of Tobacco Control (FCTC) oblige countries to develop and coordinate research on aspects of tobacco control and require of them to facilitate knowledge transfer and capacity building between countries. This paper considers various ways how EU and national policy makers may accomplish this. We conclude that progress in three areas is needed: 1) generation of more scientific evidence relevant for each country; 2) facilitation of policy learning between countries; and 3) building capacity and collaborations between researchers and tobacco-control advocates to bridge the gap from research to policy, especially in countries with weak tobacco-control infrastructures.

Indexed as

capacity buildingEuropeknowledge transferresearch capacitytobacco controlWHO FCTC

Identifiers

PMID32411887
PMCPMC7205141

What OpenQuestion 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 OpenQuestion graph.