Evidence map›Paper›PMID 37186517›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2023

Development and Demonstration of Tobacco Treatment Measures for Cancer Registries: Novel Metrics for Quality Improvement.

Tresza D Hutcheson, Tim Metcalf, Edward F Ellerbeck, Lisa Sanderson Cox, Jinxiang Hu, Xi Chen, Kimber P Richter

Abstract read
In one paragraph

Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2023. 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

7 authors.

Tresza D HutchesonDepartment of Population Health, University of Kansas School of Medicine, Kansas City, Kansas.ORCID 0000-0003-2814-4527
Tim MetcalfUniversity of Kansas Cancer Center, University of Kansas Cancer Registry, Kansas City, Kansas.ORCID 0009-0003-4284-7867
Edward F EllerbeckDepartment of Population Health, University of Kansas School of Medicine, Kansas City, Kansas.ORCID 0000-0002-7774-2729
Lisa Sanderson CoxDepartment of Population Health, University of Kansas School of Medicine, Kansas City, Kansas.ORCID 0000-0002-3345-4178
Jinxiang HuDepartment of Biostatistics and Data Science, University of Kansas School of Medicine, Kansas City, Kansas.ORCID 0000-0002-8812-722X
Xi ChenDepartment of Biostatistics and Data Science, University of Kansas School of Medicine, Kansas City, Kansas.ORCID 0009-0004-0860-1617
Kimber P RichterDepartment of Population Health, University of Kansas School of Medicine, Kansas City, Kansas.ORCID 0000-0002-0351-4336

Funding

Transgenic & Gene-Targeting Shared ResourceP30CA168524 · NCI · UNIVERSITY OF KANSAS MEDICAL CENTER · PI ROY A. JENSEN · 2012 to 2026
$40.1M
NCI NIH HHS P30 CA168524
6 · The paper itself

Abstract

backgroundIndividuals undergoing cancer treatment have better outcomes when they discontinue tobacco use. Few cancer centers systematically provide evidence-based cessation services. As part of a national quality improvement initiative [Cancer Center Cessation Initiative (C3i)], we collaborated with our cancer registry to develop and implement two tobacco treatment metrics for tracking the provision of behavioral support and pharmacotherapy.

methodsPost-development, the tobacco treatment metrics were integrated into the registry for all future patients. We used means and frequencies to summarize tobacco treatment for cases treated between 2017 and 2019, coinciding with the timeframe of C3i participation.

resultsOf 17,735 cancer cases reviewed, both measures were captured on 17,654 (99.5%) of patients, with 3,091 (17.4%) identified as users of tobacco. Across the 3 years, 557 (18%) of individuals who used tobacco received either tobacco cessation pharmacotherapy or behavioral support; with 478 (15.5%) receiving behavioral counseling, 352 (11.4%) receiving pharmacotherapy, and 273 (8.8%) receiving both-considered gold standard care. Tobacco treatment varied substantially across cancer types. The odds of receiving gold standard care were 2.37 times greater in 2019 compared with 2017. (OR, 2.37; 95% confidence interval, 1.63-3.46; P < 0.0001).

conclusionsThe new metrics demonstrated high completion rates and their potential to track quality improvement efforts over time. They identified suboptimal treatment reach, but a potential increase in treatment over time and greater treatment among tobacco-related versus nontobacco-related cancers. IMPACT: Continued tobacco use worsens cancer care outcomes. Integrating measures into cancer registries is a viable option for tracking tobacco treatment and cessation in the context of cancer care.

Indexed as

NeoplasmsSmoking CessationTobacco Use DisorderHumansQuality ImprovementRegistries

Identifiers

PMID37186517
PMCPMC10524488

What OpenQuestion holds

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Registered trials

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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.