Evidence map›Paper›PMID 37139029›Full record

ArticleCureus2023

Telemedicine Examination of the Knee.

Rock P Vomer, Emma York, Larick S Rayghan, Tarang Jethwa, Daniel P Montero, Christine Q Nguyen, George G A Pujalte

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 92% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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.

Rock P VomerDepartment of Family and Community Health & Orthopedics, Division of Sports Medicine, Duke University, Durham, USA.
Emma YorkFamily Medicine, Eastern Virginia Medical School, Norfolk, USA.
Larick S RayghanFamily and Community Medicine, Eastern Virginia Medical School, Norfolk, USA.
Tarang JethwaFamily Medicine, Mayo Clinic, Jacksonville, USA.
Daniel P MonteroOrthopedic Surgery, Mayo Clinic, Jacksonville, USA.
Christine Q NguyenFamily Medicine, Mayo Clinic, Jacksonville, USA.
George G A PujalteFamily Medicine, Orthopedics, and Sports Medicine, Mayo Clinic, Jacksonville, USA.
Eastern Virginia Medical School · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction The coronavirus disease 2019 (COVID-19) pandemic has resulted in rapid healthcare system adaptations, including the acceptance of telemedicine in primary care. In the case of knee ailments, among the most common problems encountered in primary care, telemedicine provides a literal window to observe the patient performing functional activities. Despite its potential, there is a lack of standardized protocols for data collection. The purpose of this article is to provide a step-by-step protocol to aid in performing a telemedicine examination of the knee. Methods This article provides a step-by-step guide for a telehealth examination of the knee. Results A step-by-step examination of how to structure a telemedicine evaluation of the knee. A glossary of images of each maneuver has been included to demonstrate the components of the examination. Additionally, a table of questions and possible answers were included to help guide the provider through a knee examination. Conclusion This article provides a structured and efficient means of extracting clinically relevant information during telemedicine examinations of the knee.

Indexed as

functional testinggaitkneetelehealthvirtual examination

Identifiers

PMID37139029
PMCPMC10150838
OpenAlexW4362456225

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.