Evidence map›Paper›PMID 30547336›Full record

ArticleEnvironmental science and pollution research international2019

Experimental exposure to gasohol impairs sperm quality with recognition of the classification pattern of exposure groups by machine learning algorithms.

Kátia Cristina de Melo Tavares Vieira, Andressa Ágata Fernandes, Karina Martins Silva, Viviane Ribas Pereira, Danillo Roberto Pereira, Ana Paula Alves Favareto

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Article in Environmental science and pollution research international, 2019. 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. Mechanisms of the direct effects of oil-related contaminants on ovarian cells.Environmental science and pollution research international · 2020
    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

6 authors.

Kátia Cristina de Melo Tavares VieiraGraduate Program in Environment and Regional Development, University of Western São Paulo - UNOESTE, Presidente Prudente, SP, 19067-175, Brazil.
Andressa Ágata FernandesCollege of Science, Letters and Education from Presidente Prudente - FACLEPP, University of Western São Paulo - UNOESTE, Presidente Prudente, SP, Brazil.
Karina Martins SilvaCollege of Science, Letters and Education from Presidente Prudente - FACLEPP, University of Western São Paulo - UNOESTE, Presidente Prudente, SP, Brazil.
Viviane Ribas PereiraGraduate Program in Environment and Regional Development, University of Western São Paulo - UNOESTE, Presidente Prudente, SP, 19067-175, Brazil.
Danillo Roberto PereiraGraduate Program in Environment and Regional Development, University of Western São Paulo - UNOESTE, Presidente Prudente, SP, 19067-175, Brazil.
Ana Paula Alves FavaretoGraduate Program in Environment and Regional Development, University of Western São Paulo - UNOESTE, Presidente Prudente, SP, 19067-175, Brazil. anafavareto@unoeste.br.ORCID http://orcid.org/0000-0001-8634-9198

Funding

Universidade do Oeste Paulista 3183
6 · The paper itself

Abstract

Contamination caused by leakage at gas stations leads to possible exposure of the general population when in contact with contaminated water and soil. The present study aimed to evaluate the reproductive effects of exposure of adult male rats to gasohol and evaluate the performance of machine learning (ML) algorithms for pattern recognition and classification of the exposure groups. Rats were orally exposed to 0 (control), 16 (EA), 160 (EB), or 800 mg kg

Indexed as

AlgorithmsAnimalsEnvironmental ExposureEpididymisEthanolGasolineMachine LearningMaleRats, WistarSpermatogenesisSpermatozoaSperm CountSperm MotilityTestisEthanolGasolineArtificial intelligenceEnvironment contaminantsGasolineRatReproductionSpermatozoa

Identifiers

What OpenQuestion holds

Textmetadata
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.