Evidence map›Paper›PMID 30303372›Full record

ArticleEnvironmental science & technology2018

A High-Resolution Spatial Model to Predict Exposure to Pharmaceuticals in European Surface Waters: ePiE.

Rik Oldenkamp, Selwyn Hoeks, Mirza Čengić, Valerio Barbarossa, Emily E Burns, Alistair B A Boxall, Ad M J Ragas

Open access · hybridAbstract read
In one paragraph

Article in Environmental science & technology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

12 citing papers in PubMed, 73 citations in OpenAlex.

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  6. Sensory-Motor Perturbations in Larval Zebrafish (International journal of molecular sciences · 2022
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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.

Rik OldenkampDepartment of Environmental Science , Radboud University Nijmegen , 6500GL , Nijmegen , The Netherlands.ORCID 0000-0002-2245-6987
Selwyn HoeksDepartment of Environmental Science , Radboud University Nijmegen , 6500GL , Nijmegen , The Netherlands.
Mirza ČengićDepartment of Environmental Science , Radboud University Nijmegen , 6500GL , Nijmegen , The Netherlands.
Valerio BarbarossaDepartment of Environmental Science , Radboud University Nijmegen , 6500GL , Nijmegen , The Netherlands.
Emily E BurnsEnvironment Department , University of York , Heslington , York YO10 5DD , United Kingdom.
Alistair B A BoxallEnvironment Department , University of York , Heslington , York YO10 5DD , United Kingdom.ORCID 0000-0003-3823-7516
Ad M J RagasDepartment of Environmental Science , Radboud University Nijmegen , 6500GL , Nijmegen , The Netherlands.
Radboud University Nijmegen · NLUniversity of York · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Environmental risk assessment of pharmaceuticals requires the determination of their environmental exposure concentrations. Existing exposure modeling approaches are often computationally demanding, require extensive data collection and processing efforts, have a limited spatial resolution, and have undergone limited evaluation against monitoring data. Here, we present ePiE (exposure to Pharmaceuticals in the Environment), a spatially explicit model calculating concentrations of active pharmaceutical ingredients (APIs) in surface waters across Europe at ∼1 km resolution. ePiE strikes a balance between generating data on exposure at high spatial resolution while having limited computational and data requirements. Comparison of model predictions with measured concentrations of a diverse set of 35 APIs in the river Ouse (UK) and Rhine basins (North West Europe), showed around 95% were within an order of magnitude. Improved predictions were obtained for the river Ouse basin (95% within a factor of 6; 55% within a factor of 2), where reliable consumption data were available and the monitoring study design was coherent with the model outputs. Application of ePiE in a prioritisation exercise for the Ouse basin identified metformin, gabapentin, and acetaminophen as priority when based on predicted exposure concentrations. After incorporation of toxic potency, this changed to desvenlafaxine, loratadine, and hydrocodone.

Indexed as

Pharmaceutical PreparationsWater Pollutants, ChemicalEnvironmental ExposureEnvironmental MonitoringEuropeRiversPharmaceutical PreparationsWater Pollutants, Chemical

Identifiers

PMID30303372
PMCPMC6328286
OpenAlexW2896677322

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.