Evidence map›Paper›PMID 25535566›Full record

ArticleAquatic biosystems2014

A histopathological and biometric comparison between catfish (Pisces, Ariidae) from a harbor and a protected area, Brazil.

Raimunda Nonata Fortes Carvalho Neta, Débora Batista Pinheiro Sousa, Zafira da Silva de Almeida, Débora Martins Silva Santos, Ligia Tchaicka

Abstract read
In one paragraph

Article in Aquatic biosystems, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Raimunda Nonata Fortes Carvalho NetaDepartment of Chemistry and Biology, State University of Maranhão (UEMA), São Luís, Maranhão Brazil.
Débora Batista Pinheiro SousaPostgraduate Program of Aquatic Resources and Fishery (PPGRAP/UEMA), State University of Maranhão, São Luís, Maranhão Brazil.
Zafira da Silva de AlmeidaDepartment of Chemistry and Biology, State University of Maranhão (UEMA), São Luís, Maranhão Brazil.
Débora Martins Silva SantosDepartment of Chemistry and Biology, State University of Maranhão (UEMA), São Luís, Maranhão Brazil.
Ligia TchaickaDepartment of Chemistry and Biology, State University of Maranhão (UEMA), São Luís, Maranhão Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHistopathological lesions and biometric variations in catfish species are statistically associated with chemical contaminant exposure. A histopathological and biometric database for the catfish Sciades herzbergii and Bagre bagre from São Luís Island (Port Area) and Caranguejos Island (Reference Area) is presented. Branchial and hepatic lesions were classified into three reaction patterns: 1) circulatory or inflammatory disturbances; 2) regressive changes; 3) progressive changes. This paper summarizes research efforts aimed at characterizing the biomonitoring potential of catfish from two islands in Brazil, which exhibit great habitat diversity and different levels of human intervention.

resultsThe weights and lengths of the catfish caught at the Port Area were smaller than those from the Reference Area. No histopathological lesions were observed in S. herzbergii examined at the reference site (Caranguejos Island). In contrast, 90% of S. herzbergii from sites located in the Port Area (São Luís Island) had one or more types of branchial and hepatic lesions. One or more of the five lesions were observed on 16 B. bagre from São Luís Island and Caranguejos Island.

conclusionThe utility of histopathological lesions and biometric data as sensitive indicators of the health of wild catfish populations has been demonstrated. Sciades herzbergii proved to be a better species for biomonitoring because it was more sensitive to the impacted site (Port Area) compared with the region relatively free of contaminants (Reference Area).

Indexed as

Bagre bagreBiomarkersBiomonitoringSciades herzbergii

Identifiers

PMID25535566
PMCPMC4273438

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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.