Evidence map›Paper›PMID 36040132›Full record

ArticleEnvironmental toxicology and chemistry2022

The BEEHAVE

Thomas G Preuss, Annika Agatz, Benoit Goussen, Vanessa Roeben, Jack Rumkee, Liubov Zakharova, Pernille Thorbek

Abstract read
In one paragraph

Article in Environmental toxicology and chemistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. 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

7 authors.

Thomas G PreussBayer, Monheim am Rhein, Germany.ORCID 0000-0001-6249-6003
Annika AgatzInstitute for Biological Analytics & Consulting, Roßdorf, Germany.ORCID 0000-0003-3228-8822
Benoit GoussenInstitute for Biological Analytics & Consulting, Roßdorf, Germany.ORCID 0000-0001-7204-7981
Vanessa RoebenBayer, Monheim am Rhein, Germany.ORCID 0000-0002-2992-1888
Jack RumkeeSyngenta, Bracknell, Berkshire, United Kingdom.
Liubov ZakharovaInstitute for Biological Analytics & Consulting, Roßdorf, Germany.ORCID 0000-0002-1091-8371
Pernille ThorbekBASF SE, Limburgerhof, Germany.ORCID 0000-0002-0259-6333

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mechanistic effect models are powerful tools for extrapolating from laboratory studies to field conditions. For bees, several good models are available that can simulate colony dynamics. Controlled and reliable experimental systems are also available to estimate the inherent toxicity of pesticides to individuals. However, there is currently no systematic and mechanistic way of linking the output of experimental ecotoxicological testing to bee models for bee risk assessment. We introduce an ecotoxicological module that mechanistically links exposure with the hazard profile of a pesticide for individual honeybees so that colony effects emerge. This mechanistic link allows the translation of results from standard laboratory studies to relevant parameters and processes for simulating bee colony dynamics. The module was integrated into the state-of-the-art honeybee model BEEHAVE. For the integration, BEEHAVE was adapted to mechanistically link the exposure and effects on different cohorts to colony dynamics. The BEEHAVE

Indexed as

PesticidesAnimalsBeesModels, TheoreticalRisk AssessmentPesticidesEcotoxicologyhoneybeepesticidespopulation modelingrisk assessment

Identifiers

PMID36040132
PMCPMC9828121

What OpenQuestion holds

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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 OpenQuestion graph.