Evidence map›Paper›PMID 40256349›Full record

ArticlePlastic and reconstructive surgery. Global open2025

Instagram Use Among Integrated Plastic Surgery Residency Programs: New Insight for Applicants?

Elizabeth M Hogue, Mathew J Gregoski, Sloan V Rhodes, Fernando A Herrera

Abstract read
In one paragraph

Article in Plastic and reconstructive surgery. Global open, 2025. 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
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.

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

4 authors.

Elizabeth M HogueFrom the College of Medicine, Medical University of South Carolina, Charleston, SC.
Mathew J GregoskiDepartment of Public Health, Medical University of South Carolina, Charleston, SC.
Sloan V RhodesFrom the College of Medicine, Medical University of South Carolina, Charleston, SC.
Fernando A HerreraDepartment of Surgery, Medical University of South Carolina, Charleston, SC.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Social media has emerged as a valuable resource by which prospective applicants may evaluate residency programs, with Instagram being the most widely used platform. This study aims to categorize and evaluate the accuracy of Instagram content shared by integrated plastic surgery residency programs. Methods: Integrated plastic surgery residency program accounts were queried on Instagram. Post content in 2021 and 2022 was reviewed and categorized based on topics of interest to plastic surgery applicants. Regression analysis was performed to evaluate the relationship between program size and total number of posts and program diversity and diversity, equity, and inclusion posts. The relationship between research posts and faculty Results: Eighty-six program accounts with 3168 Instagram posts were analyzed. Resident life was the most common post category; 13.51% were surgical, with microsurgery being the most common subspecialty. Global health and mentorship were the least commonly posted. A weak correlation was found between program size and total posts. No significant relationship was found between diversity, equity, and inclusion posts and program diversity or between research posts and research productivity of the program. Conclusions: The widespread use of Instagram by integrated plastic surgery residency programs provides applicants with a valuable tool to select programs aligning with their interests. Post categorization by subjects of interest to applicants may be a useful guide for program selection. However, applicants should be aware that Instagram posts do not necessarily equate with reality.

Identifiers

PMID40256349
PMCPMC12007874

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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.