Evidence map›Paper›PMID 40242723›Full record

ArticlePlastic and reconstructive surgery. Global open2025

The Role of ChatGPT in Personal Statements for Plastic Surgery Residency Applications: Program Directors' Perspective.

Krishna A Patel, Carly J Suriano, Jeffrey E Janis

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

3 authors.

Krishna A PatelFrom the Department of General Surgery, OhioHealth Riverside Methodist Hospital, Columbus, OH.
Carly J SurianoFrom the Department of General Surgery, OhioHealth Riverside Methodist Hospital, Columbus, OH.
Jeffrey E JanisDepartment of Plastic and Reconstructive Surgery, Ohio State University, Wexner Medical Center, Columbus, OH.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Personal statements are a required component of plastic surgery residency applications but can be extremely time- and labor-intensive. Artificial intelligence (AI) programs like ChatGPT can streamline personal statement writing, but their use, especially if undisclosed, can have ethical implications. This study elucidates the perspective of plastic surgery residency program directors (PDs) regarding the importance of personal statements in reviewing applicants and whether ChatGPT should be utilized. Methods: An anonymous, 6-question multiple-choice survey was designed and administered in 3 rounds via REDCap to 120 current plastic surgery residency PDs. An additional email reminder was administered by the principal investigator. Data was collected and reported in aggregate. Results: The survey response rate was 28.6%. Most PDs (73.5%) reported that personal statements were somewhat important in determining interviewees and the rank list; 85.3% of PDs were not confident in their ability to determine if ChatGPT was utilized. Additionally, 85.3% of residencies reported not utilizing AI-detection software, although 11.8% plan to implement one. Only 8.8% of PDs believed ChatGPT use to be ethically appropriate in all aspects of personal statement creation, whereas others believed it was only appropriate for brainstorming (11.8%), editing (14.7%), or writing (5.9%). Finally, 58.8% of PDs believed ChatGPT use to be unethical in all parts of personal statement creation. Conclusions: The utilization of AI could have a profound impact on streamlining personal statement creation, but its use has many ethical implications. Currently, the majority of surveyed PDs feel the use of ChatGPT to be unethical in any form during personal statement writing.

Identifiers

PMID40242723
PMCPMC12002369

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.