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Meta Analysis ? AI-assigned paper type based on the abstract. Classification may not be perfect — flag errors using the feedback button. Tier 1 ? Systematic review or meta-analysis. Synthesizes findings across many studies. Strongest evidence. Sign in to save

Blueprint for the ideal microplastic effect study: Critical issues of current experimental approaches and envisioning a path forward

The Science of The Total Environment 2022 9 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 45 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Gabriella Pantó, Thea Hamm, Thea Hamm, Thea Hamm, Thea Hamm, Thea Hamm, Thea Hamm, Thea Hamm, Mark Lenz, Aaron J. Beck, Aaron J. Beck, Mark Lenz, Mark Lenz, Aaron J. Beck, Mark Lenz, Mark Lenz, João Canning‐Clode, Mark Lenz, Mark Lenz, Thea Hamm, Thea Hamm, Thea Hamm, Thea Hamm, Thea Hamm, Thea Hamm, Thea Hamm, Gabriella Pantó, Gabriella Pantó, Gabriella Pantó, Mark Lenz, Aaron J. Beck, Carl Van Colen, Carl Van Colen, Jonne Kotta Carl Van Colen, Aaron J. Beck, Aaron J. Beck, Paula Aguilera Dal Grande, Paula Aguilera Dal Grande, Aaron J. Beck, Aaron J. Beck, Mark Lenz, Mark Lenz, Mark Lenz, Mark Lenz, Mark Lenz, Aaron J. Beck, Thea Hamm, Thea Hamm, Mark Lenz, Thea Hamm, Thea Hamm, Mark Lenz, Jamileh Javidpour, João Canning‐Clode, Francisco R. Barboza, Jamileh Javidpour, Thea Hamm, Thea Hamm, Mark Lenz, Mark Lenz, Mark Lenz, Mark Lenz, Mark Lenz, Mark Lenz, Mark Lenz, Mark Lenz, Mark Lenz, Mark Lenz, João Canning‐Clode, Carl Van Colen, Holger Jänes, Aaron J. Beck, Mark Lenz, Carl Van Colen, João Canning‐Clode, Sonia K. M. Gueroun, Carl Van Colen, Carl Van Colen, João Canning‐Clode, Carl Van Colen, Aaron J. Beck, João Canning‐Clode, João Canning‐Clode, Jamileh Javidpour, Paula Aguilera Dal Grande, Carl Van Colen, Jamileh Javidpour, Aaron J. Beck, Mark Lenz, João Canning‐Clode, João Canning‐Clode, Mark Lenz, Mark Lenz, Mark Lenz, Aaron J. Beck, Aaron J. Beck, Mark Lenz, Aaron J. Beck, Carl Van Colen, Carl Van Colen, Jamileh Javidpour, Jamileh Javidpour, Jamileh Javidpour, João Canning‐Clode, Carl Van Colen, Mark Lenz, Mark Lenz, Jonne Kotta Thea Hamm, Thea Hamm, Jamileh Javidpour, Jamileh Javidpour, João Canning‐Clode, Ants Kaasik, Carl Van Colen, Gabriella Pantó, Carl Van Colen, Robert Szava‐Kovats, Helen Orav‐Kotta, Helen Orav‐Kotta, Liisi Lees, Carl Van Colen, Aaron J. Beck, Aaron J. Beck, Sander Loite, Aaron J. Beck, João Canning‐Clode, João Canning‐Clode, Sonia K. M. Gueroun, Anneliis Kõivupuu, Mark Lenz, Jonne Kotta

Summary

A double-weighted meta-analysis incorporating both experimental quality and statistical precision found that most published microplastic effect studies depart substantially from ecologically relevant experimental design, particularly in failing to mimic natural environments. The framework provides a quantitative benchmark for improving the rigor and generalizability of future microplastic toxicity research.

Study Type Review

This article presents a novel conceptual blueprint for an 'ideal', i.e., ecologically relevant, microplastic effect study. The blueprint considers how microplastics should be characterized and applied in laboratory experiments, and how biological responses should be measured to assure unbiased data that reliably reflect the effects of microplastics on aquatic biota. This 'ideal' experiment, although practically unachievable, serves as a backdrop to improve specific aspects of experimental research on microplastic effects. In addition, a systematic and quantitative literature review identified and quantified departures of published experiments from the proposed 'ideal' design. These departures are related mainly to the experimental design of microplastic effect studies failing to mimic natural environments, and experiments with limited potential to be scaled-up to ecosystem level. To produce a valid and generalizable assessment of the effect of microplastics on biota, a quantitative meta-analysis was performed that incorporated the departure of studies from the 'ideal' experiment (a measure of experimental quality) and inverse variance (a measure of the study precision) as weighting coefficients. Greater weights were assigned to experiments with higher quality and/or with lower variance in the response variables. This double-weighting captures jointly the technical quality, ecological relevance and precision of estimates provided in each study. The blueprint and associated meta-analysis provide an improved baseline for the design of ecologically relevant and technically sound experiments to understand the effects of microplastics on single species, populations and, ultimately, entire ecosystems.

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