Evidence map›Paper›PMID 33827409›Full record

ReviewCurrent neuropharmacology2022

Andrew Li, Clifford Pereira, Elise Eleanor Hill, Olivia Vukcevich, Aijun Wang

Abstract readReview
In one paragraph

Review in Current neuropharmacology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

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

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Review
  6. Review
  7. Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Frontiers in cell and developmental biology · 2025
    Article
  13. Article
  14. Review
  15. In Vitro Models for Peripheral Nerve Regeneration.Advanced healthcare materials · 2024
    Review
  16. Review
  17. Review
  18. Article
  19. Article
  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

5 authors.

Andrew LiHand and Microsurgery, Division of Plastic Surgery, Department of Surgery, School of Medicine, University of California Davis, Sacramento, California, USA.
Clifford PereiraHand and Microsurgery, Division of Plastic Surgery, Department of Surgery, School of Medicine, University of California Davis, Sacramento, California, USA.
Elise Eleanor HillDepartment of Surgery, School of Medicine, University of California Davis, Sacramento, California, USA.
Olivia VukcevichDepartment of Surgery, Surgical Bioengineering Laboratory, School of Medicine, University of California Davis, Sacamento, California, USA.
Aijun WangDepartment of Surgery, School of Medicine, University of California Davis, Sacramento, California, USA.

Funding

American Foundation for Surgery of the Hand Basic Science 20-2608/ A21-1280Shriners Hospitals for Children Research Grants 87200-NCA-19, 85108-NCA-19UC Davis Academic Federation Innovative Development Award, NIH 5R01NS100761
6 · The paper itself

Abstract

Peripheral Nerve Injuries (PNI) frequently occur secondary to traumatic injuries. Recovery from these injuries can be expectedly poor, especially in proximal injuries. In order to study and improve peripheral nerve regeneration, scientists rely on peripheral nerve models to identify and test therapeutic interventions. In this review, we discuss the best described and most commonly used peripheral nerve models that scientists have and continue to use to study peripheral nerve physiology and function.

Indexed as

Peripheral Nerve InjuriesHumansNerve RegenerationEx vivo modelsin vitro modelsin vivo modelsorganotypic modelsperipheral nerveperipheral nerve injuryperipheral nerve regeneration

Identifiers

PMID33827409
PMCPMC9413794

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.