Evidence map›Paper›PMID 26841882›Full record

ArticleJournal of preventive medicine and public health = Yebang Uihakhoe chi2016

The Tobacco Industry's Abuse of Scientific Evidence and Activities to Recruit Scientists During Tobacco Litigation.

Sungkyu Lee

Abstract read
In one paragraph

Article in Journal of preventive medicine and public health = Yebang Uihakhoe chi, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

1 author.

Sungkyu LeeNational Evidence-based Healthcare Collaborating Agency, Seoul, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

South Korea's state health insurer, the National Health Insurance Service (NHIS), is in the process of a compensation suit against tobacco industry. The tobacco companies have habitually endeavored to ensure favorable outcomes in litigation by misusing scientific evidence or recruiting scientists to support its interests. This study analyzed strategies that tobacco companies have used during the NHIS litigation, which has been receiving world-wide attention. To understand the litigation strategies of tobacco companies, the present study reviewed the existing literature and carried out content analysis of petitions, preparatory documents, and supporting evidence submitted to the court by the NHIS and the tobacco companies during the suit. Tobacco companies misrepresented the World Health Organization (WHO) report's argument and misused scientific evidence, and removed the word "deadly" from the title of the citation. Tobacco companies submitted the research results of scientists who had worked as a consultant for the tobacco industry as evidence. Such litigation strategies employed by the tobacco companies internationally were applied similarly in Korean lawsuits. Results of tobacco litigation have a huge influence on tobacco control policies. For desirable outcomes of the suits, healthcare professionals need to pay a great deal of attention to the enormous volume of written opinions and supporting evidence that tobacco companies submit. They also need to face the fact that the companies engage in recruitment of scientists. Healthcare professionals should refuse to partner with tobacco industry, as recommended by Article 5.3 of the WHO Framework Convention on Tobacco Control.

Indexed as

HumansPublic HealthRepublic of KoreaSmokingTobacco IndustryTobacco, Tobacco industry, Tobacco litigation, Tobacco industry litigation tactics

Identifiers

PMID26841882
PMCPMC4750512

What OpenQuestion holds

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LicenceCC BY-NC
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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.