Evidence map›Paper›PMID 32754436›Full record

ArticleAnesthesiology and pain medicine2020

Endoscopic Neuromodulation of Suprascapular Nerve in Chronic Shoulder Pain: A Case Report.

Marco Divizia, Giorgio Germani, Ignazio Urti, Farnad Imani, Giustino Varrassi, Stefano Meloncelli

Open access · diamondAbstract readCase Reports
In one paragraph

Article in Anesthesiology and pain medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.7field-weighted citation impact, top 6% 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

14 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Conolidine: A Novel Plant Extract for Chronic Pain.Anesthesiology and pain medicine · 2021
    Review
  6. Review
  7. Article
  8. Article
  9. Review
  10. Review
  11. Article
  12. Review
  13. Peripheral Neuromodulation for the Management of Headache.Anesthesiology and pain medicine · 2020
    Review
  14. 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

6 authors at 3 institutions in 2 countries.

Marco DiviziaValle Giulia Hospital, Roma, Italy.
Giorgio GermaniValle Giulia Hospital, Roma, Italy.
Ignazio UrtiValle Giulia Hospital, Roma, Italy.
Farnad ImaniPain Research Center, Iran University of Medical Sciences, Tehran, Iran.ORCID https://orcid.org/0000-0003-0814-0772
Giustino VarrassiPaolo Procacci Foundation, Roma, Italy.ORCID https://orcid.org/0000-0002-3822-2923
Stefano MeloncelliValle Giulia Hospital, Roma, Italy.
Clinica Valle Giulia · ITFondazione Roma · ITIran University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Shoulder pain is very frequent, especially in middle-aged male adults. Its treatment may be very problematic, mainly in patients who cannot rest and stop their work. At present, it is treated with analgesics, physiotherapy, infiltration of corticosteroids, and/or radiofrequency neuromodulation of the suprascapular nerve. This may be effective but not easy to do. Its efficacy is limited in time, especially because the approach to the nerve trunk may be problematic for its anatomical nature. Ultrasonography has helped, but it is not always completely helpful, due to the small dimension and the complexity of the anatomical structure. In this case report, we describe a more helpful approach to the nerve trunk using an endoscopic technique. The results are very promising. However, larger studies would be necessary to make clear its usefulness.

Indexed as

Chronic PainNeuromodulationNSAIDsRadiofrequencyShoulder Pain

Identifiers

PMID32754436
PMCPMC7352948
OpenAlexW3020179577

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.