Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 499

The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.

The neuropathic pain: An overview of the current treatment and future therapeutic approaches

Open access
Cavalli, Eugenio, Mammana, Santa, Nicoletti, Ferdinando, Bramanti, Placido, Mazzon, Emanuela·2019·International Journal of Immunopathology and Pharmacology

Abstract

Neuropathic pain is characterized by abnormal hypersensitivity to stimuli (hyperalgesia) and nociceptive responses to non-noxious stimuli (allodynia). The conditions and the pathophysiological states that determine the onset of neuropathic pain are heterogeneous, such as metabolic disorders, neuropathy caused by viral infections, and autoimmune diseases affecting the central nervous system (CNS). Neuropathic pain in the general population is estimated to have a prevalence ranging between 3% and 17%. Most of the available treatments for neuropathic pain have moderate efficacy and present side effects that limit their use; therefore, other therapeutic approaches are needed for patients. In this article, the current standard of care treatment, the emerging pharmacological approaches from the completed phase III clinical trials, and the preclinical studies on novel promising therapeutic options will be reviewed.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1177/2058738419838383

Cites

26 of 26 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 26 references

Cited by

See all 499

Metadata

Authors
Cavalli, E., Mammana, S., Nicoletti, F., Bramanti, P., & Mazzon, E.
Venue
International Journal of Immunopathology and Pharmacology
Published
2019-01
Volume
33
Pages
2058738419838383-2058738419838383
ISSN
  • 0394-6320 (ISSN-L)
  • 2058-7384
OpenAlex
W2923081322
Cited by
499
References
26
Type
journal article
Language
en
Open access
gold

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: The neuropathic pain: An overview of the current treatment and future therapeutic approaches. https://app.cochat.ai/papers/10.1177/2058738419838383
The paper
Cavalli, E., Mammana, S., Nicoletti, F., Bramanti, P., & Mazzon, E. (2019). The neuropathic pain: An overview of the current treatment and future therapeutic approaches. International Journal of Immunopathology and Pharmacology. https://doi.org/10.1177/2058738419838383

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.