Evidence map›Paper›PMID 34306234›Full record

ArticleJournal of smoking cessation2021

A Population-Level Assessment of Smoking Cessation following a Diagnosis of Tobacco- or Nontobacco-Related Cancer among United States Adults.

Richard S Matulewicz, Marc A Bjurlin, Zachary Feuer, Danil V Makarov, Scott E Sherman, Joy Scheidell, Maria R Khan, Omar El-Shahawy

Open access · hybridAbstract read
In one paragraph

Article in Journal of smoking cessation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.1field-weighted citation impact, top 25% 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

2 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. 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

8 authors at 3 institutions in 1 country.

Richard S MatulewiczNew York University School of Medicine, Department of Population Health, USA.ORCID https://orcid.org/0000-0003-0757-0885
Marc A BjurlinUniversity of North Carolina, Department of Urology, Lineberger Comprehensive Cancer Center, USA.
Zachary FeuerNew York University School of Medicine, Department of Urology, USA.
Danil V MakarovNew York University School of Medicine, Department of Population Health, USA.
Scott E ShermanNew York University School of Medicine, Department of Population Health, USA.
Joy ScheidellNew York University School of Medicine, Department of Population Health, USA.
Maria R KhanNew York University School of Medicine, Department of Population Health, USA.
Omar El-ShahawyNew York University School of Medicine, Department of Population Health, USA.
VA NY Harbor Healthcare System · USNew York University · USUNC Lineberger Comprehensive Cancer Center

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionSmoking cessation after a cancer diagnosis can significantly improve treatment outcomes and reduce the risk of cancer recurrence and all-cause mortality.

aimWe sought to measure the association between cancer diagnosis and subsequent smoking cessation.

methodsData was sourced from the Population Assessment of Health and Tobacco (PATH) study, a representative population-based sample of United States adults. Our analytic sample included all adult smokers at Wave I, our baseline. The exposure of interest was either a tobacco-related cancer diagnosis, nontobacco-related cancer diagnosis, or no cancer diagnosis (the referent) reported at Wave II or III. The primary outcome was smoking cessation after diagnosis, at Wave IV.

conclusionDiagnosis with a tobacco-related cancer is associated with greater odds of subsequent smoking cessation compared to no cancer diagnosis, suggesting that significant behavioral change may occur in this setting.

Identifiers

PMID34306234
PMCPMC8279190
OpenAlexW3126933801

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.