Evidence map›Paper›PMID 42317989›Full record

ArticleFrontiers in public health2026

Health effects of black and blond tobacco: a comparative analysis on smoking-related diseases with emphasis on bronchitis and COPD.

María Bejarano-Vila, Irene Abad-Perez, Daniel Bautista, Francisco Bosch-Morell, Isabel Martinez-Solis

Abstract readComparative Study
In one paragraph

Article in Frontiers in public health, 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
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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

5 authors.

María Bejarano-VilaSEPLAN Group, Botanical Garden, University of Valencia, Valencia, Spain.
Irene Abad-PerezClinical Documentation and Admission Unit (CDAU), Consorcio Hospital General Universitario de Valencia (CHGUV), Valencia, Spain.
Daniel BautistaHospital Universitario Dr. Peset, Valencia, Spain.
Francisco Bosch-MorellDepartment of Biomedical Sciences, Faculty of Health Sciences, and Biomedical Sciences Institute, Universidad Cardenal Herrera-CEU, CEU Universities, Valencia, Spain.
Isabel Martinez-SolisDepartment of Pharmacy, Faculty of Health Sciences, Universidad Cardenal Herrera-CEU, CEU Universities, Valencia, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: There is ample scientific evidence to support that tobacco consumption is associated with diseases such as chronic obstructive pulmonary disease (COPD), bronchitis, and cancer. However, few studies have compared the harm caused by different types of tobacco, such as black and blond tobacco (BlaT, BloT). Objective: This study aims to search for the potential links between type of tobacco, dosage, tobacco consumption time, and disease. Methods: A longitudinal retrospective case-control study (163:162) was conducted using clinical histories and telephone interviews. Disproportions (prevalence, OR, and crude OR), dose and years of smoking (ANOVA), and strata (tobacco type, dose, and time) (Reg. Log. Bin. Cox) were used. Results: A significant correlation was discovered between smoking, type of tobacco, and disease, particularly for COPD. The OR for BlaT/non-smokers was 64.62 and for BloT/non-smokers was 26.44. When stratified by tobacco type, the crude OR for BlaT was 8.38 for COPD, 7.82 for bronchitis, and 2.25 for cancer. Cox R analysis revealed a dose-response relationship between smoking and time, with BlaT having Cox R values of 88.41 for COPD and 3.95 for cancer. Conclusion: The main conclusion is that while all types of tobacco are harmful, BlaT is even more harmful than BloT.

Indexed as

BronchitisNeoplasmsPulmonary Disease, Chronic ObstructiveSmokingTobacco ProductsAdultAgedCase-Control StudiesFemaleHumansLongitudinal StudiesMaleMiddle AgedRetrospective Studiesblack-tobaccoblond-tobaccohealth impactsmoking-related diseasestobacco consumption

Identifiers

PMID42317989
PMCPMC13272289

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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.