Evidence map›Paper›PMID 31620950›Full record

ArticleEcotoxicology (London, England)2019

Variation in Hg accumulation between demersal and pelagic fish from Puruzinho Lake, Brazilian Amazon.

Lucas Silva Azevedo, Inácio Abreu Pestana, Adriely Ferreira da Costa Nery, Wanderley Rodrigues Bastos, Cristina Maria Magalhães Souza

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Article in Ecotoxicology (London, England), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 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

5 authors.

Lucas Silva AzevedoLaboratório de Ciências Ambientais, Centro de Biociências e Biotecnologia, Universidade Estadual do Norte Fluminense Darcy Ribeiro, Campos dos Goytacazes, Rio de Janeiro, RJ, CEP: 28013-602, Brazil. lucasazevs@pq.uenf.br.
Inácio Abreu PestanaLaboratório de Ciências Ambientais, Centro de Biociências e Biotecnologia, Universidade Estadual do Norte Fluminense Darcy Ribeiro, Campos dos Goytacazes, Rio de Janeiro, RJ, CEP: 28013-602, Brazil.
Adriely Ferreira da Costa NeryLaboratório de Biogeoquímica Ambiental WCP, Universidade Federal de Rondônia, Porto Velho, RO, CEP: 76815-800, Brazil.
Wanderley Rodrigues BastosLaboratório de Biogeoquímica Ambiental WCP, Universidade Federal de Rondônia, Porto Velho, RO, CEP: 76815-800, Brazil.
Cristina Maria Magalhães SouzaLaboratório de Ciências Ambientais, Centro de Biociências e Biotecnologia, Universidade Estadual do Norte Fluminense Darcy Ribeiro, Campos dos Goytacazes, Rio de Janeiro, RJ, CEP: 28013-602, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aquatic ecosystems in the Amazon are exposed to mercury, mostly from natural sources. Hg accumulation in fish tissues poses a risk to the local population since fish is one of the main sources of protein in the region. The aim of this study was to evaluate Hg distribution in demersal and pelagic carnivorous fish between seasons in Puruzinho Lake in the Brazilian Amazon. Total Hg was quantified in 221 individuals of 8 species obtained during the high water and low water seasons. Two-way ANOVA indicated an interaction between foraging habitat and season. During high water, total Hg concentrations were similar between demersal and pelagic fish, while in low water, total Hg levels were higher in demersal fish. Pelagic and demersal fishes' Hg levels were similar between the two seasons.

Indexed as

BioaccumulationEcosystemEnvironmental ExposureAnimalsBrazilEnvironmental MonitoringFishesLakesMercurySeasonsSpecies SpecificityWater Pollutants, ChemicalMercuryWater Pollutants, ChemicalAmazonDemersalFeeding habitsMercuryPelagic

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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.