Evidence map›Paper›PMID 35493063›Full record

ReviewCurrent dermatology reports2022

Social Media as a Medium for Dermatologic Education.

Benjamin R Cooper, Anthony Concilla, J Mark Albrecht, Aashni Bhukhan, Melissa R Laughter, Jaclyn B Anderson, Chandler W Rundle, Emily C McEldrew, Colby L Presley

Abstract readReview
In one paragraph

Review in Current dermatology reports, 2022. 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
–field-weighted citation impact
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.

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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

9 authors.

Benjamin R CooperCollege of Osteopathic Medicine, Rocky Vista University, Parker, CO USA.
Anthony ConcillaCollege of Osteopathic Medicine, Philadelphia College of Osteopathic Medicine, Philadelphia, PA USA.
J Mark AlbrechtSchool of Medicine, University of Utah, Salt Lake City, UT USA.
Aashni BhukhanDr. Kiran C. Patel College of Osteopathic Medicine, Nova Southeastern University, Fort Lauderdale, FL USA.
Melissa R LaughterDepartment of Medicine, University of Texas, Austin, TX USA.
Jaclyn B AndersonDepartment of Pathology, Stanford University, Stanford, CA USA.
Chandler W RundleDepartment of Dermatology, Duke University Hospital, Durham, NC USA.
Emily C McEldrewDivision of Dermatology, Lehigh Valley Health Network, Allentown, PA USA.
Colby L PresleyDivision of Dermatology, Lehigh Valley Health Network, Allentown, PA USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose of Review: We explore the utility of social media platforms as educational tools in dermatology, providing a summary of how these sites are used by the public and dermatologists alike, and demonstrating ways these findings may be applied for educational purposes. Recent Findings: Over half of the world's population utilizes social media platforms. More recently, these platforms have increasingly been used for educational purposes. In the field of dermatology, a large portion of the educational content is coming from users with no formal medical or dermatologic training. Summary: Each of the top five social media platforms in the world (Twitter, Instagram, TikTok, YouTube, and Facebook) has unique qualities which people may utilize to educate fellow users. As more of the population seeks online health information and education, it is important that dermatologists, while taking ethical considerations into account, become more comfortable facilitating educational content on social media.

Indexed as

EducationFacebookInstagramSocial mediaTiktokTwitterYoutube

Identifiers

PMID35493063
PMCPMC9036500

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.