Evidence map›Paper›PMID 29461517›Full record

ArticleScientific data2018

Arthropods dataset from different genetically modified maize events and associated controls.

Zoltán Pálinkás, Mihály Zalai, Ágnes Szénási, Zita Dorner, József Kiss, Samuel North, Guy Woodward, Adalbert Balog

Open access · goldAbstract readDataset
In one paragraph

Article in Scientific data, 2018. 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
0.1field-weighted citation impact, top 54% of its field
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, 2 citations in OpenAlex.

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

8 authors at 3 institutions in 3 countries.

Zoltán PálinkásInstitute of Plant Protection, Faculty of Agriculture and Environmental Sciences, Szent István University, Gödöllő, Hungary.
Mihály ZalaiInstitute of Plant Protection, Faculty of Agriculture and Environmental Sciences, Szent István University, Gödöllő, Hungary.
Ágnes SzénásiInstitute of Plant Protection, Faculty of Agriculture and Environmental Sciences, Szent István University, Gödöllő, Hungary.
Zita DornerInstitute of Plant Protection, Faculty of Agriculture and Environmental Sciences, Szent István University, Gödöllő, Hungary.
József KissInstitute of Plant Protection, Faculty of Agriculture and Environmental Sciences, Szent István University, Gödöllő, Hungary.
Samuel NorthDepartment of Life Sciences, Faculty of Natural Sciences, Imperial College London, Silwood Park, Berkshire SL5 7PY, UK.
Guy WoodwardDepartment of Life Sciences, Faculty of Natural Sciences, Imperial College London, Silwood Park, Berkshire SL5 7PY, UK.
Adalbert BalogDepartment of Horticulture, Faculty of Technical and Human Sciences, Sapientia Hungarian University of Transylvania Târgu Mureş/Corunca, Romania.
Magyar Agrár- és Élettudományi Egyetem · HUImperial College London · GBSapientia Hungarian University of Transylvania · RO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Arthropods from four genetically modified (GM) maize hybrids (coleopteran resistant, coleopteran and lepidopteran resistant, lepidopteran resistant+herbicide tolerant and coleopteran resistant and herbicide tolerant) and non-GM varieties were sampled during a two-year field assessment. A total number of 363 555 arthropod individuals were collected. This represents the most comprehensive arthropod dataset from GM maize, and together with weed data, is reasonable to determine functional groups of arthropods and interactions between species. Trophic groups identified from both phytophagous and predatory arthropods were previously considered non-target organisms on which possible detrimental effects of Bacillus thuringiensis (Bt) toxins may have been directly (phytophagous species) or indirectly (predators) detected. The high number of individuals and species and their dynamics through the maize growing season can predict that interactions are highly correlational, and can thus be considered a useful tool to assess potential deleterious effects of Bt toxins on non-target organisms, serving to develop biosafety risk hypotheses for invertebrates exposed to GM maize plants.

Indexed as

ArthropodsZea maysAnimalsCrops, AgriculturalHerbicidesPlants, Genetically ModifiedHerbicides

Identifiers

PMID29461517
PMCPMC5819483
OpenAlexW2791907102

What OpenQuestion holds

Textmetadata
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.