Evidence map›Paper›PMID 32546780›Full record

ReviewNature communications2020

Central circuit mechanisms of itch.

Xiao-Jun Chen, Yan-Gang Sun

Abstract readReview
In one paragraph

Review in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 84 papers.

0numbers the graph read from it
0cells of the map it votes in
84citing 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

84 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Immunopathogenesis of itch: an integrative framework for chronic pruritus.JID innovations : skin science from molecules to population health · 2026
    Review
  5. Article
  6. Article
  7. Addiction and chronic skin diseases: The missing role of itch.Journal of the European Academy of Dermatology and Venereology : JEADV · 2026
    Article
  8. Article
  9. Supraspinal Circuit Mechanisms Underlying Itch Processing.CNS neuroscience & therapeutics · 2026
    Review
  10. Article
  11. Article
  12. Article
  13. Hyaluronic Acid ProfhiloMedicina (Kaunas, Lithuania) · 2026
    Article
  14. Review
  15. Review
  16. Article
  17. Review
  18. Article
  19. Central neural circuits underlying itch sensation.Nature reviews. Neuroscience · 2025
    Review
  20. Article

24 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

2 authors.

Xiao-Jun ChenInstitute of Neuroscience, State Key Laboratory of Neuroscience, Center for Excellence in Brain Science & Intelligence Technology, Chinese Academy of Sciences, 320 Yue-Yang Road, 200031, Shanghai, China.
Yan-Gang SunInstitute of Neuroscience, State Key Laboratory of Neuroscience, Center for Excellence in Brain Science & Intelligence Technology, Chinese Academy of Sciences, 320 Yue-Yang Road, 200031, Shanghai, China. yangang.sun@ion.ac.cn.ORCID http://orcid.org/0000-0003-0768-7733

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Itch, in particular chronic forms, has been widely recognized as an important clinical problem, but much less is known about the mechanisms of itch in comparison with other sensory modalities such as pain. Recently, considerable progress has been made in dissecting the circuit mechanisms of itch at both the spinal and supraspinal levels. Major components of the spinal neural circuit underlying both chemical and mechanical itch have now been identified, along with the circuits relaying ascending transmission and the descending modulation of itch. In this review, we summarize the progress in elucidating the neural circuit mechanism of itch at spinal and supraspinal levels.

Indexed as

AnimalsBrainGastrin-Releasing PeptideHumansNeuronsPruritusReceptors, BombesinSignal TransductionSpinal CordGastrin-Releasing PeptideReceptors, Bombesin

Identifiers

PMID32546780
PMCPMC7297978

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Registered trials

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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.