Evidence map›Paper›PMID 32382909›Full record

ArticleEnvironmental science and pollution research international2020

Assessment of metal pollution impacts on Tilapia zillii and Mugil cephalus inhabiting Qaroun and Wadi El-Rayan lakes, Egypt, using integrated biomarkers.

Amr Adel Abdel-Khalek, Hossam Shabaan Zayed, Samira M Elsayad, Khalid H Zaghloul

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Article in Environmental science and pollution research international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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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

6 citing papers in PubMed.

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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

4 authors.

Amr Adel Abdel-KhalekZoology Department, Faculty of Science, Cairo University, Giza, Egypt. ecoamr@gmail.com.ORCID http://orcid.org/0000-0002-6777-8728
Hossam Shabaan ZayedEgyptian Environmental Affairs Agency, El-Fayoum, Egypt.
Samira M ElsayadZoology Department, Faculty of Science, El-Fayoum University, El-Fayoum, Egypt.
Khalid H ZaghloulZoology Department, Faculty of Science, El-Fayoum University, El-Fayoum, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Qaroun and Wadi El-Rayan lakes are exposed to a huge amount of discharges from different sources and numerous anthropogenic activities. Therefore, the present work aimed to evaluate the impacts of metal pollution on two wild fish species; Tilapia zillii and Mugil cephalus collected from lake Qaroun (eastern and western parts) and Wadi El-Rayan lakes (upper and lower lakes). Accumulation of metals (Cu, Zn, Cd, and Pb) in water, sediment, and five vital tissues as well as metal pollution index (MPI), contamination factor (CF), and pollution load index (PLI) were integrated as metal pollution biomarkers. Generally, these integrated endpoints had the same trend and indicated that the eastern part of lake Qaroun was the most polluted site followed by the lower lake of Wadi El-Rayan. To assess the environmental genotoxicity, the percentage DNA damage in different tissues of both fish species was estimated using the comet assay technique. The percentage of DNA damages showed tissue-, species- and site-specification. Hazard index (HI) has been used as an evaluation index for human health associated with fish consumption at the studied sites. This index showed that all metals were in the safe limits at normal consumption levels while adverse health effects are expected to occur at the subsistence consumption level. The safe HI for each metal at normal consumption level does not neglect that the combined cumulative risk impact of all metals is a sign of warning and the health of fish consumers nearby contaminated sites is threatened.

Indexed as

TilapiaAnimalsBiomarkersEgyptEnvironmental MonitoringGeologic SedimentsHumansLakesMetals, HeavyWater Pollutants, ChemicalBiomarkersMetals, HeavyWater Pollutants, ChemicalComet assayHuman risk assessmentMetal pollutionPollution indices

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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.