Evidence map›Paper›PMID 22052339›Full record

ArticleCancer prevention research (Philadelphia, Pa.)2011

How do we safely get people to stop smoking?

David C L Lam, John D Minna

Abstract readComment
In one paragraph

Article in Cancer prevention research (Philadelphia, Pa.), 2011. 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
0.3field-weighted citation impact, top 41% of its field
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, 4 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 1 institution in 2 countries.

David C L LamDepartment of Medicine, University of Hong Kong, Hong Kong SAR, China.
John D Minna
The University of Texas Southwestern Medical Center · US

Funding

UNIVERSITY OF TEXAS--SPORE IN LUNG CANCERP50CA070907 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI GIBBONS, DON LYNN · 1996 to 2024
$57.4M
NCI NIH HHS P50 CA070907NCI NIH HHS P50CA70907
6 · The paper itself

Abstract

Nicotine replacement therapy (NRT) is a valuable, proven, and U.S. Food and Drug Administration-approved tool for smoking cessation. However, the discoveries of functional nicotinic acetylcholine receptors (nAChR) on lung epithelial and cancer cells and of nAChR polymorphisms associated with lung cancer risk, in addition to a large number of preclinical studies indicating that nicotine may promote or facilitate cancer development and growth, have prompted concern that NRT, although important for smoking cessation, may actually augment lung carcinogenesis. Therefore, it is of great public health interest that two independent studies reported in this issue of the journal (Murphy and colleagues, beginning on page 1752, and Maier and colleagues, beginning on page 1743) showed that nicotine given in drinking water at a dose to achieve blood concentrations in mice similar to those achieved in people receiving NRT did not enhance lung carcinogenesis or tumor growth in several mouse models of lung cancer. Effective non-nicotine alternatives to NRT, such as varenicline and bupropion, are also available and perhaps better than NRT for smoking cessation therapy. In the near future, nicotine vaccines will likely be added to the smoking cessation armamentarium. However, the normal and pathophysiologic role of nicotine, nAChRs, and the signaling pathways they activate in lung epithelial cells and lung cancer still requires elucidation.

Indexed as

Disease Models, AnimalAdenocarcinomaAdenomaAnimalsCarcinogensCell Transformation, NeoplasticFemaleHumansLung NeoplasmsMaleMutationNicotineNitrosaminesProto-Oncogene Proteins p21(ras)4-(N-methyl-N-nitrosamino)-1-(3-pyridyl)-1-butanoneCarcinogensHras protein, mouseNicotineNitrosaminesProto-Oncogene Proteins p21(ras)

Identifiers

PMID22052339
PMCPMC3372398
OpenAlexW2102328233

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.