Evidence map›Paper›PMID 38893375›Full record

ArticleMolecules (Basel, Switzerland)2024

Long-Term Polyethylene (Bio)Degradation in Landfill: Environmental and Human Health Implications from Comprehensive Analysis.

Vladyslav Redko, Lidia Wolska, Ewa Olkowska, Maciej Tankiewicz, Monika Cieszyńska-Semenowicz

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

5 authors.

Vladyslav RedkoDivision of Environmental Toxicology, Faculty of Health Sciences with Institute of Maritime and Tropical Medicine, Medical University of Gdansk, Dębowa 23 A, 80-204 Gdansk, Poland.ORCID 0000-0003-1461-337X
Lidia WolskaDivision of Environmental Toxicology, Faculty of Health Sciences with Institute of Maritime and Tropical Medicine, Medical University of Gdansk, Dębowa 23 A, 80-204 Gdansk, Poland.ORCID 0000-0003-2759-362X
Ewa OlkowskaDivision of Environmental Toxicology, Faculty of Health Sciences with Institute of Maritime and Tropical Medicine, Medical University of Gdansk, Dębowa 23 A, 80-204 Gdansk, Poland.ORCID 0000-0002-9938-4176
Maciej TankiewiczDivision of Environmental Toxicology, Faculty of Health Sciences with Institute of Maritime and Tropical Medicine, Medical University of Gdansk, Dębowa 23 A, 80-204 Gdansk, Poland.ORCID 0000-0002-0966-7763
Monika Cieszyńska-SemenowiczDivision of Environmental Toxicology, Faculty of Health Sciences with Institute of Maritime and Tropical Medicine, Medical University of Gdansk, Dębowa 23 A, 80-204 Gdansk, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigates the process of long-term (bio)degradation of polyethylene (PE) in an old municipal waste landfill (MWL) and its implications for environmental and human health. Advanced techniques, such as ICP-ES/MS and IC-LC, were used to analyze heavy metals and anions/cations, demonstrating significant concentration deviations from control samples. The soil's chemical composition revealed numerous hazardous organic compounds, further indicating the migration of additives from PE to the soil. Toxicological assessments, including Phytotoxkit F

Indexed as

PolyethyleneWaste Disposal FacilitiesBiodegradation, EnvironmentalEnvironmental MonitoringHumansMetals, HeavySoilSoil PollutantsMetals, HeavyPolyethyleneSoilSoil Pollutantsadditives migrationenvironmental riskhealth impactlong-term biodegradationpolyethylenetoxicological analysis

Identifiers

PMID38893375
PMCPMC11173707

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.