Evidence map›Paper›PMID 27005637›Full record

ReviewMarine drugs2016

Antimicrobial Action of Compounds from Marine Seaweed.

María José Pérez, Elena Falqué, Herminia Domínguez

Abstract readReview
In one paragraph

Review in Marine drugs, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 179 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
179citing papers in PubMed, 1 pooled it
–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

179 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Marine drugs · 2026
    Review
  12. In Vitro Antiviral Activity of Red Algae Extracts fromTropical medicine and infectious disease · 2026
    Article
  13. Review
  14. Evaluation ofFrontiers in microbiology · 2026
    Article
  15. Review
  16. Review
  17. Article
  18. Review
  19. Review
  20. Review

119 more citing papers are in PubMed but not listed here.

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

3 authors.

María José PérezDepartamento de Biología Funcional y Ciencias de la Salud, Facultad de Ciencias, Universidade de Vigo, As Lagoas, Ourense 32004, Spain. mjperez@uvigo.es.
Elena FalquéDepartamento de Química Analítica, Facultad de Ciencias, Universidade de Vigo, As Lagoas, Ourense 32004, Spain. efalque@uvigo.es.
Herminia DomínguezDepartamento de Enxeñería Química, Facultad de Ciencias. Universidade de Vigo, As Lagoas, Ourense 32004, Spain. herminia@uvigo.es.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Seaweed produces metabolites aiding in the protection against different environmental stresses. These compounds show antiviral, antiprotozoal, antifungal, and antibacterial properties. Macroalgae can be cultured in high volumes and would represent an attractive source of potential compounds useful for unconventional drugs able to control new diseases or multiresistant strains of pathogenic microorganisms. The substances isolated from green, brown and red algae showing potent antimicrobial activity belong to polysaccharides, fatty acids, phlorotannins, pigments, lectins, alkaloids, terpenoids and halogenated compounds. This review presents the major compounds found in macroalga showing antimicrobial activities and their most promising applications.

Indexed as

AnimalsAnti-Infective AgentsChlorophytaDrug DiscoveryDrug Resistance, MicrobialDrug Resistance, MultipleHumansPhaeophyceaeRhodophytaSeaweedAnti-Infective Agentsantimicrobialextraction techniquesin vitro and in vivo assaysseaweed

Identifiers

PMID27005637
PMCPMC4820306

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.