Evidence map›Paper›PMID 25255749›Full record

ReviewMolecules (Basel, Switzerland)2014

Fermented broth in tyrosinase- and melanogenesis inhibition.

Chin-Feng Chan, Ching-Cheng Huang, Ming-Yuan Lee, Yung-Sheng Lin

Abstract readReview
In one paragraph

Review in Molecules (Basel, Switzerland), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Dual Modulatory Effects of Phytochemicals fromMolecules (Basel, Switzerland) · 2025
    Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Anti-Melanogenic Effects ofPlants (Basel, Switzerland) · 2024
    Article
  10. Anti-Melanogenic Effects ofPlants (Basel, Switzerland) · 2023
    Article
  11. Article
  12. Antioxidant and Antimelanogenic Activities of Kimchi-DerivedJournal of microbiology and biotechnology · 2021
    Article
  13. Article
  14. Article
  15. Article
  16. Fermented Unpolished Black Rice (Journal of microbiology and biotechnology · 2020
    Article
  17. Article
  18. Anti-Melanogenic Effect ofFrontiers in pharmacology · 2020
    Article
  19. A comprehensive review on tyrosinase inhibitors.Journal of enzyme inhibition and medicinal chemistry · 2019
    Review
  20. 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

4 authors.

Chin-Feng ChanDepartment of Applied Cosmetology and Master Program of Cosmetic Science, Hungkuang University, Taichung 43302, Taiwan. cfchan@sunrise.hk.edu.tw.
Ching-Cheng HuangDepartment of Applied Cosmetology and Master Program of Cosmetic Science, Hungkuang University, Taichung 43302, Taiwan. junas.tw@yahoo.com.tw.
Ming-Yuan LeeDepartment of Applied Cosmetology and Master Program of Cosmetic Science, Hungkuang University, Taichung 43302, Taiwan. mingyuan761016@gmail.com.
Yung-Sheng LinDepartment of Applied Cosmetology and Master Program of Cosmetic Science, Hungkuang University, Taichung 43302, Taiwan. linys@sunrise.hk.edu.tw.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fermented broth has a long history of applications in the food, pharmaceutical and cosmetic industries. Recently, the use of fermented broth in skin care products is in ascendance. This review investigates the efficacy of fermented broth in inhibiting tyrosinase and melanogenesis. Possible active ingredients and hypopigmentation mechanisms of fermented broth are discussed, and potential applications of fermented broth in the cosmetic industry are also addressed.

Indexed as

FermentationCulture MediaHumansMelaninsMonophenol MonooxygenaseCulture MediaMelaninsMonophenol Monooxygenase

Identifiers

PMID25255749
PMCPMC6271004

What OpenQuestion holds

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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.