Evidence map›Paper›PMID 42459300›Full record

ArticleFrontiers in oncology2026

Rethinking smoking assessment in head and neck squamous cell carcinoma: are we missing something?

Riccardo Gili, Luigi Lorini, Davide Smussi, Armando Di Bello, Paolo Bossi, Carlo Resteghini

Abstract read
In one paragraph

Article in Frontiers in oncology, 2026. 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

6 authors.

Riccardo GiliMedical Oncology and Hematology Unit, IRCCS Humanitas Research Hospital, Milan, Italy.
Luigi LoriniMedical Oncology and Hematology Unit, IRCCS Humanitas Research Hospital, Milan, Italy.
Davide SmussiDepartment of Medical and Surgical Specialties, Radiological Sciences, and Public Health, University of Brescia; Unit of Medical Oncology, Azienda Socio Sanitaria Territoriale (ASST) Spedali Civili, Brescia, Italy.
Armando Di BelloOncologia Medica, Fondazione Policlinico Universitario Agostino Gemelli Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Roma, Italy.
Paolo BossiMedical Oncology and Hematology Unit, IRCCS Humanitas Research Hospital, Milan, Italy.
Carlo ResteghiniMedical Oncology and Hematology Unit, IRCCS Humanitas Research Hospital, Milan, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Tobacco exposure is a major determinant of risk and clinical outcomes in head and neck squamous cell carcinoma (HNSCC). Although pack-years have long represented the standard metric for quantifying smoking exposure, increasing evidence suggests that this approach incompletely captures the biological and clinical heterogeneity of tobacco-related risk. Discussion: Recent epidemiological and clinical studies demonstrate that smoking duration rather than its intensity or cumulative pack-years measures is a stronger predictor of HNSCC risk and overall survival, particularly among long-term smokers. Regarding cumulative metrics, metrics like log cigarette-years have shown a better prognostic role when compared with pack-years. Beyond cumulative or duration-based models, smoking cessation and the use of alternative tobacco products substantially influence HNSCC risk and clinical outcomes. While smoking cessation is associated with a progressive reduction in risk and improved survival, active smoking at diagnosis is consistently associated with inferior treatment response. In parallel, non-cigarette tobacco products-including cigars, pipes, and smokeless tobacco-have been shown to independently increase HNSCC risk, are rarely incorporated into exposure models. The growing use of alternative nicotine-containing products, often in combination with cigarette smoking, further complicates risk assessment, as their long-term carcinogenic and immunomodulatory effects remain incompletely characterized. Conclusion: Pack-years-based models alone are insufficient for accurate risk stratification in HNSCC and realize integrated models including smoking duration assessment may improve prognostic and predictive accuracy, supporting more personalized treatment strategies.

Indexed as

exposureHNSCCpacks year smokedsmokingtime

Identifiers

PMID42459300
PMCPMC13370206

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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.