Evidence map›Paper›PMID 32486463›Full record

ArticleInternational journal of environmental research and public health2020

Tobacco Dependence Treatment in Oncology: Initial Patient Clinical Characteristics and Outcomes from Roswell Park Comprehensive Cancer Center.

Christine E Sheffer, Jeffrey S Stein, Cara Petrucci, Martin C Mahoney, Shirley Johnson, Pamela Giesie, Ellen Carl, Laurie Krupski, Allison N Tegge, Mary E Reid and 2 more

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

8 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
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  7. Tobacco Use and Treatment among Cancer Survivors.International journal of environmental research and public health · 2020
    Article
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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

12 authors at 2 institutions in 1 country.

Christine E ShefferRoswell Park Comprehensive Cancer Center, Buffalo, NY 14263, USA.
Jeffrey S SteinFralin Biomedical Research Institute at VTC, Roanoke, VA 24016, USA.
Cara PetrucciRoswell Park Comprehensive Cancer Center, Buffalo, NY 14263, USA.
Martin C MahoneyRoswell Park Comprehensive Cancer Center, Buffalo, NY 14263, USA.
Shirley JohnsonRoswell Park Comprehensive Cancer Center, Buffalo, NY 14263, USA.
Pamela GiesieRoswell Park Comprehensive Cancer Center, Buffalo, NY 14263, USA.
Ellen CarlRoswell Park Comprehensive Cancer Center, Buffalo, NY 14263, USA.
Laurie KrupskiRoswell Park Comprehensive Cancer Center, Buffalo, NY 14263, USA.
Allison N TeggeFralin Biomedical Research Institute at VTC, Roanoke, VA 24016, USA.
Mary E ReidRoswell Park Comprehensive Cancer Center, Buffalo, NY 14263, USA.
Warren K BickelFralin Biomedical Research Institute at VTC, Roanoke, VA 24016, USA.
Andrew HylandRoswell Park Comprehensive Cancer Center, Buffalo, NY 14263, USA.
Roswell Park Comprehensive Cancer Center · USBiomedical Research Institute · US

Funding

NIH HHS P30 CA016056-41S2
6 · The paper itself

Abstract

Despite the importance of smoking cessation to cancer care treatment, historically, few cancer centers have provided treatment for tobacco dependence. To address this gap, the National Cancer Institute (NCI) launched the Cancer Center Cessation Initiative (C3i). As part of this effort, this study examined implementation outcomes in a cohort of cancer survivors (CSs) who smoked cigarettes in the first year of an ongoing process to develop and implement a robust Tobacco Treatment Service at Roswell Park Comprehensive Cancer Center. We provide a comprehensive description of the new tobacco use assessment and referral process, and of the characteristics of cancer survivors who agreed to treatment including traditional tobacco-related psychosocial and cancer treatment-related characteristics and novel characteristics such as delay discounting rates. We also examine characteristic differences among those who agreed to treatment between those who attended and those who did not attend treatment. As the new tobacco assessment was implemented, the number of referrals increased dramatically. The mean number of treatment sessions attended was 4.45 (SD = 2.98) and the six-month point prevalence intention to treat abstinence rate among those who attended was 22.7%. However, only 6.4% agreed to treatment and 4% attended at least one treatment session. A large proportion of cancer survivors who agreed to treatment were women, of older age, of lower socioeconomic status (SES), and who had high levels of depressive symptomology. The findings demonstrate that the implementation of system changes can significantly improve the identification of cancer survivors who use tobacco and are referred to tobacco use treatment. Among those who attend, treatment is effective. However, the findings also suggest that a systematic assessment of barriers to engagement is needed and that cancer survivors may benefit from additional treatment tailoring. We present plans to address these implementation challenges. Systematic electronic medical record (EMR)-sourced referral to tobacco treatment is a powerful tool for reaching cancer survivors who smoke, but more research is needed to determine how to enhance engagement and tailor treatment processes.

Indexed as

Cancer SurvivorsSmoking CessationTobacco Use DisorderAdultAgedAged, 80 and overFemaleHumansMiddle AgedTobacco UseUnited StatesYoung Adultcancer survivorscognitive behavioral treatmentsmokingtobacco dependence

Identifiers

PMID32486463
PMCPMC7312979
OpenAlexW3031216427

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.