Evidence map›Paper›PMID 40892019›Full record

ReviewEnvironmental science & technology2025

Paul Löffler, Emma L Schymanski, Henning Henschel, Foon Yin Lai

Abstract readReview
In one paragraph

Review in Environmental science & technology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Review
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.

Paul LöfflerDepartment of Aquatic Sciences and Assessment, Swedish University of Agricultural Sciences (SLU), P.P. Box 7050, SE-750 07 Uppsala, Sweden.ORCID 0000-0003-1959-0752
Emma L SchymanskiLuxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, 4367 Belvaux, Luxembourg.ORCID 0000-0001-6868-8145
Henning HenschelDepartment of Medicinal Chemistry, Uppsala University (UU), Uppsala SE-751 21, Sweden.ORCID 0000-0001-7196-661X
Foon Yin LaiDepartment of Aquatic Sciences and Assessment, Swedish University of Agricultural Sciences (SLU), P.P. Box 7050, SE-750 07 Uppsala, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The characterization of transformation products (TPs) is crucial for understanding chemical fate and potential environmental hazards. TPs form through (a)biotic processes and can be detected in environmental concentrations comparable to or even exceeding their parent compounds, indicating toxicological relevance. However, identifying them is challenging due to the complexity of transformation processes and insufficient data.

Indexed as

Computer SimulationEnvironmental PollutantsRisk AssessmentMachine LearningQuantitative Structure-Activity RelationshipEnvironmental Pollutantschemical prioritizationcomputational (eco)toxicologyenvironmental fatemachine learningorganic micropollutantsQSAR modelingrisk assessmentrule-based models

Identifiers

PMID40892019
PMCPMC12445007

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.