Evidence map›Paper›PMID 41026511›Full record

ArticleEnvironmental science & technology2025

Assessment of Population Relevance of Endocrine-sensitive Apical Endpoints in Fish Chronic Studies Using Individual-Based Models.

Alice Tagliati, Charles R E Hazlerigg, Edward R Salinas, Laurent Lagadic, Thomas G Preuss

Abstract read
In one paragraph

Article in Environmental science & technology, 2025. 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

5 authors.

Alice TagliatiEnviresearch Ltd., Newcastle-Upon-Tyne NE1 4DP, U.K.
Charles R E HazleriggEnviresearch Ltd., Newcastle-Upon-Tyne NE1 4DP, U.K.ORCID 0000-0002-6023-1527
Edward R SalinasBayer AG R&D, Crop Science Division, Monheim am Rhein 40789, Germany.
Laurent LagadicBayer AG R&D, Crop Science Division, Monheim am Rhein 40789, Germany.
Thomas G PreussBayer AG R&D, Crop Science Division, Monheim am Rhein 40789, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Population models have long been thought of as a suitable approach for assessing the population relevance of chemical effects observed on individuals in laboratory studies, although they have rarely been applied in a regulatory context. We modeled potential population-level responses of individual-level adverse effects induced by endocrine-disrupting chemicals (EDCs). We imposed three effect durations (10-year, 3 months summer, or winter) for six common EDC endpoints (fecundity, fertilization rate, sex ratio: male and female skew, courtship and nesting behavior) at four magnitudes of effect (10, 20, 50 and 90% reduction) using individual-based population models for three fish species with differing life histories: stickleback (

Indexed as

Endocrine DisruptorsAnimalsFemaleMaleSmegmamorphaTroutZebrafishEndocrine Disruptorseffect modelsendocrine disruptionfishhazard assessment

Identifiers

PMID41026511
PMCPMC12529950

What OpenQuestion holds

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LicenceCC BY
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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.