Evidence map›Paper›PMID 37504919›Full record

ArticleMarine drugs2023

A Blend Consisting of Agaran from Seaweed

Yara Campanelli-Morais, Cynthia Haynara Ferreira Silva, Marina Rocha do Nascimento Dantas, Diego Araujo Sabry, Guilherme Lanzi Sassaki, Susana Margarida Gomes Moreira, Hugo Alexandre Oliveira Rocha

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Marine drugs, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.0field-weighted citation impact, top 21% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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

7 authors at 2 institutions in 1 country.

Yara Campanelli-MoraisPrograma de Pós-Graduação em Bioquimica e Biologia Molecular, Universidade Federal do Rio Grande do Norte (UFRN), Natal 59078-900, Brazil.
Cynthia Haynara Ferreira SilvaPrograma de Pós-Graduação em Bioquimica e Biologia Molecular, Universidade Federal do Rio Grande do Norte (UFRN), Natal 59078-900, Brazil.
Marina Rocha do Nascimento DantasPrograma de Pós-Graduação em Bioquimica e Biologia Molecular, Universidade Federal do Rio Grande do Norte (UFRN), Natal 59078-900, Brazil.ORCID 0009-0007-3664-4755
Diego Araujo SabryDapartamento de Bioquímica, Universidade Federal do Rio Grande do Norte (UFRN), Natal 59078-900, Brazil.ORCID 0000-0001-7939-8135
Guilherme Lanzi SassakiDepartamento de Bioquímica e Biologia Molecular, Setor de Ciências Biológicas, Universidade Federal do Paraná (UFPR), Curitiba 81531-980, Brazil.ORCID 0000-0001-7420-168X
Susana Margarida Gomes MoreiraPrograma de Pós-Graduação em Bioquimica e Biologia Molecular, Universidade Federal do Rio Grande do Norte (UFRN), Natal 59078-900, Brazil.ORCID 0000-0002-8333-3016
Hugo Alexandre Oliveira RochaPrograma de Pós-Graduação em Bioquimica e Biologia Molecular, Universidade Federal do Rio Grande do Norte (UFRN), Natal 59078-900, Brazil.ORCID 0000-0003-2252-1221
Universidade Federal do Rio Grande do Norte · BRUniversidade Federal do Paraná · BR

Funding

National Council for Scientific and Technological Development 309771/2019-6
6 · The paper itself

Abstract

A blend refers to the combination of two or more components to achieve properties that are superior to those found in the individual products used for their production.

Indexed as

GracilariaRhodophytaSeaweedAntioxidantsHydrogen PeroxidePicolinic AcidsVegetablesAntioxidantsHydrogen Peroxidepicolinic acidPicolinic Acidsnutraceuticoxidative stressRhodophytasulfated polysaccharide

Identifiers

PMID37504919
PMCPMC10381178
OpenAlexW4382791000

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.