Evidence map›Paper›PMID 29067614›Full record

ArticleEnvironmental science and pollution research international2018

QSAR modeling in ecotoxicological risk assessment: application to the prediction of acute contact toxicity of pesticides on bees (Apis mellifera L.).

Mabrouk Hamadache, Othmane Benkortbi, Salah Hanini, Abdeltif Amrane

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In one paragraph

Article in Environmental science and pollution research international, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Revised guidance on the risk assessment of plant protection products on bees (EFSA journal. European Food Safety Authority · 2023
    Article
  5. Article
  6. Article
  7. Article
  8. 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.

Mabrouk HamadacheDépartement du génie des procédés et environnement, Faculté de technologie, Université de Médéa, 26000, Médéa, Algeria. mhamdeche@yahoo.fr.
Othmane BenkortbiDépartement du génie des procédés et environnement, Faculté de technologie, Université de Médéa, 26000, Médéa, Algeria.
Salah HaniniDépartement du génie des procédés et environnement, Faculté de technologie, Université de Médéa, 26000, Médéa, Algeria.
Abdeltif AmraneEcole Nationale Supérieure de Chimie de Rennes, CNRS, UMR 6226, Université de Rennes 1, 11 allée de Beaulieu, 35708, Rennes Cedex 7, CS 50837, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite their indisputable importance around the world, the pesticides can be dangerous for a range of species of ecological importance such as honeybees (Apis mellifera L.). Thus, a particular attention should be paid to their protection, not only for their ecological importance by contributing to the maintenance of wild plant diversity, but also for their economic value as honey producers and crop-pollinating agents. For all these reasons, the environmental protection requires the resort of risk assessment of pesticides. The goal of this work was therefore to develop a validated QSAR model to predict contact acute toxicity (LD

Indexed as

Models, BiologicalQuantitative Structure-Activity RelationshipAnimalsBeesEcotoxicologyLethal Dose 50PesticidesReproducibility of ResultsRisk AssessmentPesticidesAcute contact toxicityANN-based equationBeesDomain applicabilityPesticidesPrediction

Identifiers

What OpenQuestion holds

Textmetadata
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.