Evidence map›Paper›PMID 34335276›Full record

ReviewFrontiers in pharmacology2021

Advances of Zebrafish in Neurodegenerative Disease: From Models to Drug Discovery.

Xiaobo Wang, Jin-Bao Zhang, Kai-Jie He, Fen Wang, Chun-Feng Liu

Abstract readReview
In one paragraph

Review in Frontiers in pharmacology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing 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

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

  1. Sex-specific differences in zebrafish brains.Biology of sex differences · 2022
    Pooled it
  2. Article
  3. Review
  4. Review
  5. Article
  6. Review
  7. Article
  8. Review
  9. Zebrafish: A Versatile and Powerful Model for Biomedical Research.BioEssays : news and reviews in molecular, cellular and developmental biology · 2025
    Review
  10. Review
  11. Article
  12. Article
  13. Review
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  17. Article
  18. Enhancement of Cognitive Benefits and Anti-Anxiety Effects ofAntioxidants (Basel, Switzerland) · 2025
    Article
  19. Review
  20. Review
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

5 authors.

Xiaobo WangDepartment of Neurology, The Second Affiliated Hospital of Soochow University, Suzhou, China.
Jin-Bao ZhangDepartment of Neurology, The Second Affiliated Hospital of Soochow University, Suzhou, China.
Kai-Jie HeJiangsu Key Laboratory of Neuropsychiatric Diseases and Institute of Neuroscience, Soochow University, Suzhou, China.
Fen WangJiangsu Key Laboratory of Neuropsychiatric Diseases and Institute of Neuroscience, Soochow University, Suzhou, China.
Chun-Feng LiuDepartment of Neurology, The Second Affiliated Hospital of Soochow University, Suzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neurodegenerative disease (NDD), including Alzheimer's disease, Parkinson's disease, and amyotrophic lateral sclerosis, are characterized by the progressive loss of neurons which leads to the decline of motor and/or cognitive function. Currently, the prevalence of NDD is rapidly increasing in the aging population. However, valid drugs or treatment for NDD are still lacking. The clinical heterogeneity and complex pathogenesis of NDD pose a great challenge for the development of disease-modifying therapies. Numerous animal models have been generated to mimic the pathological conditions of these diseases for drug discovery. Among them, zebrafish (

Indexed as

alzheimer’s diseaseamyotrophic lateral sclerosisanimal modeldrug discoveryneurodegenerative diseaseparkinson’s diseasezebrafish

Identifiers

PMID34335276
PMCPMC8317260

What Socratic 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 Socratic graph.