Evidence map›Paper›PMID 41015336›Full record

ArticleJournal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer2026

Recommendations for Standardization of Tobacco Use Treatment Data.

Kimberly A Shoenbill, Jamie S Ostroff, Kathryn L Taylor, Ana Jafarinia, Mara Minion, Lou-Anne Chichester, Brandon Omernik, Marcia McCall, Sophia Yeung, Kara Wiseman and 3 more

Abstract read
In one paragraph

Article in Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer, 2026. 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
–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

2 citing papers in PubMed.

  1. Smoking in Patients With Cancer: Guidance for Delivering Effective Tobacco Treatment in Cancer Care.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2026
    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

13 authors.

Kimberly A ShoenbillMoffitt Cancer Center, Tampa, Florida; University of North Carolina, Lineberger Comprehensive Cancer Center, Chapel Hill, North Carolina. Electronic address: Kimberly.shoenbill@moffitt.org.
Jamie S OstroffMemorial Sloan Kettering Cancer Center, New York, New York.
Kathryn L TaylorGeorgetown Lombardi Comprehensive Cancer Center, Washington, DC.
Ana JafariniaUniversity of North Carolina, Lineberger Comprehensive Cancer Center, Chapel Hill, North Carolina.
Mara MinionUniversity of Wisconsin-Madison Carbone Cancer Center, Madison, Wisconsin.
Lou-Anne ChichesterMemorial Sloan Kettering Cancer Center, New York, New York.
Brandon OmernikFred Hutchinson Cancer Center, Seattle, Washington.
Marcia McCallWake Forest University School of Medicine, Winston-Salem, North Carolina.
Sophia YeungCity of Hope Medical Center, Duarte, California.
Kara WisemanSchool of Medicine, University of Virginia, Charlottesville, Virginia.
Li-Shiun ChenWashington University in St. Louis, St. Louis, Missouri.
Ramzi G SalloumUniversity of Florida Health Cancer Center, Gainesville, Florida.
Graham WarrenUniversity of Kentucky, Lexington, Kentucky.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI SELWYN M VICKERS · 1985 to 2026
$347.4M
Translational Bioimaging Core Shared ResourceP30CA015704 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Eric Collisson · 1985 to 2026
$296.4M
Virology Research Program (Program 4)P30CA016086 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Deborah F. Tate · 1985 to 2026
$201.5M
Washington University Center for Cellular ImagingP30CA091842 · NCI · WASHINGTON UNIVERSITY · PI TIMOTHY J. EBERLEIN · 2001 to 2026
$128.0M
Women's Oncology Program - WONP30CA044579 · NCI · UNIVERSITY OF VIRGINIA CHARLOTTESVILLE · PI Dina Gould Halme · 1987 to 2026
$72.1M
Transforming The Treatment of Tobacco Use in Health Care: Seizing The Potential of the Electronic Health Record to Deliver Comprehensive Chronic Care Treatment for SmokingR35CA197573 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI MICHAEL C FIORE · 2015 to 2026
$10.7M
A multilevel intervention to personalize and improve tobacco treatment in primary careR01DA056050 · NIDA · WASHINGTON UNIVERSITY · PI Li-Shiun Chen, Alex Taylor Ramsey · 2022 to 2026
$3.5M
Precision prevention strategy to increase uptake and engagement in lung cancer screening and smoking cessation treatmentR01CA268030 · NCI · WASHINGTON UNIVERSITY · PI Li-Shiun Chen, Alex Taylor Ramsey · 2022 to 2026
$3.3M
Sustainability of Tobacco Cessation Programs at NCI-Designated Cancer CentersR01CA279890 · NCI · UNIVERSITY OF FLORIDA · PI Ramzi George Salloum, Graham W. Warren · 2023 to 2026
$2.2M
NCI NIH HHS P30 CA008748NCI NIH HHS P30 CA015704NCI NIH HHS P30 CA016086NCI NIH HHS P30 CA044579NCI NIH HHS P30 CA091842NCI NIH HHS R01 CA268030NCI NIH HHS R01 CA279890NCI NIH HHS R35 CA197573NIDA NIH HHS R01 DA056050
6 · The paper itself

Abstract

introductionAlthough there is widespread acceptance of the importance of assessing and treating tobacco use in cancer care settings, there is much variation in the documentation and reporting of metrics relevant to tobacco treatment. The Cancer Center Cessation Initiative (C3I), as part of the National Cancer Institute's Cancer Moonshot, convened a Metrics Standardization Workgroup to develop a data dictionary and make recommendations for standardized quality measurement, program evaluation, and tobacco treatment program development.

methodsA multidisciplinary workgroup of 12 subject matter experts was convened to deliberate and standardize definitions for tobacco assessment and treatment utilization metrics. Decisions on which data elements to include were informed by clinical guidelines, literature reviews, and workgroup members' expertise. Consensus was reached when all members agreed that the proposed metric was clear, clinically relevant, and could be abstracted and reported.

resultsThe group considered metrics in the following categories: (1) patient identification, screening, and referral; (2) tobacco treatment process metrics; and (3) treatment outcomes. Furthermore, the group developed a tobacco screening, referral and engagement workflow, and a data library for the following terms: patient population, screening rate, tobacco use prevalence, referral rate, reach, unsuccessful reach attempts, enrollment, treatment engagement, and counseling dose. Outcome metrics (i.e., varied "quit rate" terms) were collated and defined.

conclusionsThe proposed standardized data definitions can be used to improve communication and measure effectiveness for tobacco use treatment, research, operational performance, policy, quality improvement, and guideline development.

Indexed as

Smoking CessationTobacco UseHumansNicotine addictionNicotine dependenceSmoking cessationTobacco treatmentTobacco use disorder

Identifiers

PMID41015336
PMCPMC12851411

What OpenQuestion holds

Textmetadata
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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.