Evidence map›Paper›PMID 42533559›Full record

ArticleRisk analysis : an official publication of the Society for Risk Analysis2026

Risk Assessment Models for Heated Tobacco Products.

Lucia Maddalena, Beril Yildiz, Francesca Del Vecchio Blanco, Mario Rosario Guarracino

Abstract read
In one paragraph

Article in Risk analysis : an official publication of the Society for Risk Analysis, 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

4 authors.

Lucia MaddalenaInstitute for High-Performance Computing and Networking, National Research Council, Naples, Italy.
Beril YildizInDatis s.r.l., Cassino, Italy.
Francesca Del Vecchio BlancoAOU Policlinico "Luigi Vanvitelli,", Naples, Italy.
Mario Rosario GuarracinoInstitute for High-Performance Computing and Networking, National Research Council, Naples, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Heated tobacco products (HTPs) are marketed as alternatives to conventional cigarettes with a potential reduced risk profile. Yet, their actual impact on cancer and noncancer disease risk remains uncertain and requires rigorous quantitative assessment. In this study, we develop a unified and transparent computational framework for toxicological risk assessment of HTPs, integrating chemical emissions data with compound-specific toxicological thresholds derived from regulatory agencies. Our work (i) systematically reviews and harmonizes existing risk models used in the literature, (ii) formulates generalizable mathematical models for estimating lifetime cancer risk, hazard quotients, and margins of exposure that account for population demographics, smoking habits, and compound characteristics, and (iii) validates these models by reproducing published results and exploring the sensitivity of risk estimates to model parameters and emission sources. Using emissions data from conventional cigarettes and HTPs, we quantify per-compound and aggregated cancer and noncancer risks, and evaluate the relative risk reduction associated with switching from cigarettes to HTPs. The proposed risk analysis models provide a reproducible, extensible, and transparent approach for computational toxicology assessment, and can be readily applied to emerging nicotine and tobacco products within harm-reduction evaluation paradigms.

Indexed as

Hot TemperatureTobacco ProductsHumansModels, TheoreticalNeoplasmsNicotineRisk AssessmentNicotinecancer riskheated tobacco productmathematical modelingnoncancer hazardrisk assessment

Identifiers

PMID42533559
PMCPMC13424971

What Socratic 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 Socratic graph.