Evidence map›Paper›PMID 34984608›Full record

ArticleEnvironmental science and pollution research international2022

Variation in chronic nickel toxicity to Daphnia magna among Japanese river waters and performance evaluation of bioavailability models in predicting the toxicity.

Hiroyuki Mano, Naohide Shinohara, Adam Peters, Emily Garman, Ellie Middleton, Chris Schlekat, Wataru Naito

Abstract read
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In one paragraph

Article in Environmental science and pollution research international, 2022. 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
0.5field-weighted citation impact, top 39% 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, 5 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

7 authors at 2 institutions in 2 countries.

Hiroyuki ManoNational Institute of Advanced Industrial Science and Technology (AIST), Research Institute of Science for Safety and Sustainability, Tsukuba City, Ibaraki, Japan. hiroyuki.mano@aist.go.jp.ORCID http://orcid.org/0000-0003-2684-5792
Naohide ShinoharaNational Institute of Advanced Industrial Science and Technology (AIST), Research Institute of Science for Safety and Sustainability, Tsukuba City, Ibaraki, Japan.
Adam PetersWCA Environment, Faringdon, Oxfordshire, UK.
Emily GarmanNiPERA, Durham, NC, USA.
Ellie MiddletonNiPERA, Durham, NC, USA.
Chris SchlekatNiPERA, Durham, NC, USA.
Wataru NaitoNational Institute of Advanced Industrial Science and Technology (AIST), Research Institute of Science for Safety and Sustainability, Tsukuba City, Ibaraki, Japan.
National Institute of Advanced Industrial Science and Technology · JPFaringdon Day Hospital · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nickel (Ni) ecotoxicity is dictated by water chemistry characteristics such as pH, water hardness, and amount of dissolved organic carbon. Bioavailability models have been developed to predict Ni toxicity and validated for European, Australian, and US natural waters. In this study, chronic toxicity tests in Ni-spiked Japanese river waters were conducted on a strain of Daphnia magna to test whether the chronic toxicity differs among Japanese natural waters with different water chemistries. Based on the results of chronic Ni toxicity tests, we assessed the performance of existing D. magna bioavailability models, which were developed in artificial waters (Model 1) and calibrated in European natural waters (Model 2), in terms of the accuracy and the bias of model predictions. Furthermore, we also calibrated the two models by using toxicity test results to develop a bioavailability model for Ni chronic toxicity to the strain of D. magna in Japanese river waters. The 10%, 20%, and 50% effect concentrations (EC

Indexed as

DaphniaWater Pollutants, ChemicalAnimalsAustraliaBiological AvailabilityHydrogen-Ion ConcentrationJapanNickelRiversWaterNickelWaterWater Pollutants, ChemicalBiotic ligand modelCladoceraHazard assessmentMetalReproduction testRisk assessment

Identifiers

PMID34984608
OpenAlexW4206056280

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.