Evidence map›Paper›PMID 38736631›Full record

ArticleTobacco use insights2024

Characterizing Tobacco Usage in Otolaryngology Patients to Target Smoking Cessation Efforts.

Pallavi Kulkarni, Joseph Dao, Tonya S King, Jessica Yingst, Karen Y Choi

Abstract read
In one paragraph

Article in Tobacco use insights, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

5 authors.

Pallavi KulkarniCollege of Medicine, The Pennsylvania State University, Hershey, PA, USA.
Joseph DaoCollege of Medicine, The Pennsylvania State University, Hershey, PA, USA.
Tonya S KingDepartment of Public Health Sciences, Penn State College of Medicine, Hershey, PA, USA.
Jessica YingstDepartment of Public Health Sciences, Penn State College of Medicine, Hershey, PA, USA.
Karen Y ChoiDepartment of Otolaryngology - Head and Neck Surgery, Penn State College of Medicine, Hershey, PA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Smoking cessation is critical in reducing incidence of head and neck cancers (HNC) and improving postoperative outcomes. Accurate documentation of tobacco usage is necessary to understand prevalence in patients to target smoking cessation. This study aims to characterize tobacco usage documentation, including electronic nicotine delivery systems (ENDS) use, among otolaryngology patients. Study Design: Retrospective chart review. Setting: Penn State Health Milton S. Hershey Medical Center (PSHMC). Methods: A retrospective chart review was conducted on adult otolaryngology patients seen from January 1, 2020 - December 31, 2020. Patient demographics, details of alcohol and tobacco usage, including type of tobacco, and subspecialty seen were collected. Associations were evaluated using chi-square tests and a multivariable logistic regression model. Results: Patients (n = 2137) were an average of 58.4 years old ±18.0, 59.3% female, and 78.0% white. Of participants with documented tobacco history (n = 944), 56.7% were never users, 28.9% were former users, and 14.4% were current users. Among current users (n = 308), 86.4% used cigarettes, and 5.2% used ENDS. The remainder used chew (4.9%) and cigars (3.25%). Odds of tobacco use were 1.5x greater for males (95% CI 1.19-2.00), 1.6x greater for unmarried patients (95% CI 1.24-2.09), 2.1x greater for those with no insurance vs government (95% CI 1.43-3.18), and 2.4x greater for those diagnosed with HNC (95% CI 1.64-3.49). Conclusion: Most patients report cigarette smoking when asked about tobacco use. Taking into consideration the rise of ENDS use, our sample showed ENDS use that was higher than the national average. There is significant opportunity for improved history taking, especially within general and head and neck oncology subspecialties for more comprehensive treatment.

Indexed as

cessationelectronic nicotine deliveryotolaryngologytobacco

Identifiers

PMID38736631
PMCPMC11083923

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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.