Evidence map›Paper›PMID 35371710›Full record

ReviewCureus2022

Shoulder Evaluation by Telephone and Video Visit: A Narrative Review.

Andres I Applewhite, Robert Gallo, Matthew L Silvis, Ashley L Yenior, Angie N Ton, Cedric J Ortiguera, George Pujalte

Open access · diamondAbstract readReview
In one paragraph

Review in Cureus, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 28% 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

5 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Patient experiences receiving rehabilitation careFrontiers in rehabilitation sciences · 2023
    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 3 institutions in 1 country.

Andres I ApplewhiteDepartment of Internal Medicine, Mayo Clinic, Jacksonville, USA.
Robert GalloDepartment of Orthopaedics and Rehabilitation, Penn State Health Milton S. Hershey Medical Center, Hershey, USA.
Matthew L SilvisDepartment of Family Medicine, Penn State University, Hershey, USA.
Ashley L YeniorDepartment of Family Medicine, Mayo Clinic, Jacksonville, USA.
Angie N TonDepartment of Family Medicine, Mayo Clinic, Scottsdale, USA.
Cedric J OrtigueraDepartment of Orthopaedic Surgery, Mayo Clinic, Jacksonville, USA.
George PujalteDepartment of Family Medicine, Mayo Clinic, Jacksonville, USA.
Mayo Clinic in Arizona · USMayo Clinic in Florida · USPenn State Milton S. Hershey Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Telemedicine has a very important role in today's healthcare system, which has been accentuated during the SARS-CoV-2 pandemic. Virtual medical evaluations offer a myriad of benefits for both patients and providers. Evaluations of the musculoskeletal system, however, present unique challenges because diagnosis significantly relies on a physical examination, something not easily accomplished by virtual means. The shoulder, a complex region with four separate articulations, is no exception. Nevertheless, a properly planned and executed telemedicine visit may yield successful results even with challenging shoulder pathologies. This narrative review aims to offer clinicians who are novices in the practice of telemedicine a basic framework with instructions, questions, and some examples of interpretation of patient answers to guide them through encounters for the evaluation of shoulder complaints via telephone and video consultation.

Indexed as

musculoskeletal injuryorthopedic practiceshoulder pathologytelehealth educationtelemedicine (tm)

Identifiers

PMID35371710
PMCPMC8942451
OpenAlexW4213079998

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.