Evidence map›Paper›PMID 33155083›Full record

ArticleEnvironmental monitoring and assessment2020

Determination and ecological risk assessment of two endocrine disruptors from River Buffalo, South Africa.

Lamidi W B Olaniyan, Anthony I Okoh

Open access · hybridAbstract read
In one paragraph

Article in Environmental monitoring and assessment, 2020. 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
0.8field-weighted citation impact, top 32% 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

5 citing papers in PubMed, 24 citations in OpenAlex.

  1. Review
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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

2 authors at 1 institution in 2 countries.

Lamidi W B OlaniyanSAMRC Microbial Water Quality Monitoring Centre, University of Fort Hare, Alice, 5700, South Africa. lwbolaniyan@lautech.edu.ng.ORCID http://orcid.org/0000-0002-9473-6945
Anthony I OkohSAMRC Microbial Water Quality Monitoring Centre, University of Fort Hare, Alice, 5700, South Africa.
University of Fort Hare · ZA

Funding

South African Medical Research Council nilTertiary Education Trust Fund nil
6 · The paper itself

Abstract

4-tert-Octylphenol (4-tOP) and triclosan (TCS) are endocrine disruptors which have been detected in environmental matrices such as air, soil and water at ultra-low levels. Exposure to endocrine disruptors may account at least in part, for the global increase in the incidence of non-communicable diseases like cancers and diabetes and may also lead to an imbalance in the aquatic ecosystem. River Buffalo is an important natural resource in the Eastern Cape of South Africa serving more than half a million people. The presence of the two compounds in the river water hitherto unknown was investigated during winter seasons using solid-phase extraction and gas chromatography-mass spectrometric techniques. The sampling points differed by some physicochemical parameters. The concentration of 4-tOP ranged 0-755 ng/L, median value 88.1 ng/L while that of TCS ranged 0-1264.2 ng/L and the median value was 82.1 ng/L. Hazard quotient as an index of exposure risk varied according to daphnids ˃ fish ˃ algae for 4-tOP exposure while HQ for TCS exposure was algae > daphnids = fish showing that both compounds were capable of causing imbalance in the aquatic ecosystem. Graphical abstract.

Indexed as

Endocrine DisruptorsWater Pollutants, ChemicalAnimalsBenzhydryl CompoundsBuffaloesEcosystemEnvironmental MonitoringHumansRisk AssessmentSouth AfricaBenzhydryl CompoundsEndocrine DisruptorsWater Pollutants, ChemicalAlkylphenolEcotoxicityEstrogenicityHazard quotientOctylphenolTriclosan

Identifiers

PMID33155083
PMCPMC7644535
OpenAlexW3096141124

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.