Evidence map›Paper›PMID 40278550›Full record

ArticleToxics2025

Risk Assessment of Impairment of Fertility Due to Exposure to Tobacco Constituents Classified as Reprotoxicants.

Carmen Estevan, Gabriela A Báez-Barroso, Eugenio Vilanova, Miguel A Sogorb

Abstract read
In one paragraph

Article in Toxics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Carmen EstevanDepartamento de Biología Aplicada, Universidad Miguel Hernández de Elche, Avenida de la Universidad s/n, 03202 Elche, Spain.ORCID 0000-0002-3151-9249
Gabriela A Báez-BarrosoInstituto de Bioingeniería, Universidad Miguel Hernández de Elche, Avenida de la Universidad s/n, 03202 Elche, Spain.ORCID 0009-0003-1042-8174
Eugenio VilanovaInstituto de Bioingeniería, Universidad Miguel Hernández de Elche, Avenida de la Universidad s/n, 03202 Elche, Spain.ORCID 0000-0002-0877-0953
Miguel A SogorbInstituto de Bioingeniería, Universidad Miguel Hernández de Elche, Avenida de la Universidad s/n, 03202 Elche, Spain.ORCID 0000-0002-1594-8940

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEpidemiological studies demonstrate that exposure to tobacco causes infertility. A reference cigarette contains up to 47 chemicals above the quantification level, of which acrylamide, benzopyrene, cadmium, ethylene oxide and lead are classified as known (category 1A), presumed (category 1B) or suspected (category 2) human reproductive toxicants due to their effects on fertility and sexual function.

methodsWe collected toxicological information on these substances to establish their respective systemic-derived no-effect levels (internal doses predicted not to alter fertility). We also estimated the systemic exposure to these four substances by smokers consuming 20 cigarettes per day.

resultsThe risks (ratios between exposure and safe dose) were 0.23, 0.06, 0.18, 0.01 and 0.00002 for acrylamide, benzopyrene, cadmium, ethylene oxide and lead, respectively. The combined risk was 0.48.

conclusionsIt was concluded that the changes in fertility resulting from the consumption of the substances in tobacco classified as toxic to fertility could not be explained by mechanisms with a toxicity threshold attributable to these five substances. No safe dose could be derived for tobacco use in persons seeking pregnancy; this applied to both active and passive smokers.

Indexed as

derived no effect level (DNEL)infertilityLOAELNOAELrisk assessmentsmokingthreshold mechanismtobacco

Identifiers

PMID40278550
PMCPMC12031035

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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.