Evidence map›Paper›PMID 38249743›Full record

SynthesisFrontiers in neurology2023

Peripheral and central changes induced by neural mobilization in animal models of neuropathic pain: a systematic review.

Federico Salniccia, Silvia de Vidania, Leticia Martinez-Caro

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Frontiers in neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.0field-weighted citation impact, top 27% of its field
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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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

3 authors at 2 institutions in 1 country.

Federico SalnicciaFaculty of Sport Sciences, Universidad Europea de Madrid, Villaviciosa de Odón, Spain.
Silvia de VidaniaFaculty of Sport Sciences, Universidad Europea de Madrid, Villaviciosa de Odón, Spain.
Leticia Martinez-CaroFacultad de Ciencias de la Salud, Universidad Internacional de La Rioja, Logroño, Spain.
Universidad Europea de Madrid · ESUniversidad Internacional De La Rioja · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Neural mobilization (NM) is a physiotherapy technique involving the passive mobilization of limb nerve structures with the aim to attempt to restore normal movement and structural properties. In recent years, human studies have shown pain relief in various neuropathic diseases and other pathologies as a result of this technique. Improvement in the range of motion (ROM), muscle strength and endurance, limb function, and postural control were considered beneficial effects of NM. To determine which systems generate these effects, it is necessary to conduct studies using animal models. The objective of this study was to gather information on the physiological effects of NM on the peripheral and central nervous systems (PNS and CNS) in animal models. Methods: The search was performed in Medline, Pubmed and Web of Science and included 8 studies according to the inclusion criteria. Results: The physiological effects found in the nervous system included the analgesic, particularly the endogenous opioid pathway, the inflammatory, by modulation of cytokines, and the immune system. Conclusion: On the basis of these results, we can conclude that NM physiologically modifies the peripheral and central nervous systems in animal models.

Indexed as

animal modelsbiomarkerscentral nervous systemneural mobilizationperipheral nervous systemphysical therapy

Identifiers

PMID38249743
PMCPMC10797109
OpenAlexW4390611838

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.