Evidence map›Paper›PMID 33299669›Full record

ArticleNeurology. Clinical practice2020

Ultrasound imaging of nerves in the neck: Correlation with MRI, EMG, and clinical findings.

Emily Casaletto, Bin Lin, Scott W Wolfe, Steve K Lee, Darryl B Sneag, Joseph H Feinberg, O Kenechi Nwawka

Open access · greenAbstract read
In one paragraph

Article in Neurology. Clinical practice, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

6 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Sonographic anatomy and imaging of the great auricular nerve.Surgical and radiologic anatomy : SRA · 2025
    Review
  5. Optical absorption spectra and correspondingJournal of biomedical optics · 2023
    Article
  6. 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

7 authors at 1 institution in 1 country.

Emily CasalettoDepartment of Radiology and Imaging (EC, BL, DBS, OKN), Department of Orthopedic Surgery (SWW, SKL), and Department of Physiatry (JHF), Hospital for Special Surgery, New York.
Bin LinDepartment of Radiology and Imaging (EC, BL, DBS, OKN), Department of Orthopedic Surgery (SWW, SKL), and Department of Physiatry (JHF), Hospital for Special Surgery, New York.
Scott W WolfeDepartment of Radiology and Imaging (EC, BL, DBS, OKN), Department of Orthopedic Surgery (SWW, SKL), and Department of Physiatry (JHF), Hospital for Special Surgery, New York.
Steve K LeeDepartment of Radiology and Imaging (EC, BL, DBS, OKN), Department of Orthopedic Surgery (SWW, SKL), and Department of Physiatry (JHF), Hospital for Special Surgery, New York.
Darryl B SneagDepartment of Radiology and Imaging (EC, BL, DBS, OKN), Department of Orthopedic Surgery (SWW, SKL), and Department of Physiatry (JHF), Hospital for Special Surgery, New York.
Joseph H FeinbergDepartment of Radiology and Imaging (EC, BL, DBS, OKN), Department of Orthopedic Surgery (SWW, SKL), and Department of Physiatry (JHF), Hospital for Special Surgery, New York.
O Kenechi NwawkaDepartment of Radiology and Imaging (EC, BL, DBS, OKN), Department of Orthopedic Surgery (SWW, SKL), and Department of Physiatry (JHF), Hospital for Special Surgery, New York.ORCID 0000-0001-6085-7354
Hospital for Special Surgery · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWe evaluated the performance of ultrasound in the detection of neuropathy of the suprascapular nerve (SSN), long thoracic nerve (LTN), spinal accessory nerve (SAN), and phrenic nerve and compared this performance with MRI.

methodsA retrospective review of 56 patients who had undergone ultrasound imaging of the SSN, LTN, SAN, and phrenic nerve was performed. Diagnoses made by ultrasound, MRI, EMG reports, and clinical and operative notes were recorded.

resultsUltrasound was successful in visualizing nerves in the neck in the overwhelming majority of cases. Sonographic findings were typically in agreement with MRI and clinical findings.

conclusionUltrasound is effective in the visualization and diagnostic evaluation of the SSN, LTN, SAN, and phrenic nerve. CLASSIFICATION OF EVIDENCE: This study provides Class IV evidence that ultrasound can effectively visualize and diagnose neuropathy of the SSN, LTN, SAN, and phrenic nerve in the neck.

Identifiers

PMID33299669
PMCPMC7717636
OpenAlexW2985278181

What OpenQuestion holds

Textmetadata
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.