ArticlePlastic and reconstructive surgery. Global open2020
Trends in Academic "Ghost Publications" in Plastic Surgery Residency Applications: A 3-Year Study.
Article in Plastic and reconstructive surgery. Global open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 6 papers.
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.
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.
Who cites it
6 citing papers in PubMed.
- Submitted Works in Plastic Surgery Residency Applications: Longitudinal Trends and Publication Outcomes.Annals of plastic surgery · 2026Article
- The Utilization of Preprint Servers in Plastic Surgery.Aesthetic plastic surgery · 2025Article
- Measuring Medical Student Scholarly Activity After a Structured Plastic Surgery Research Fellowship: A Bibliometric Analysis.Aesthetic surgery journal. Open forum · 2025Article
- An Evidence-Based Framework for Medical Student Research Training.Medical science educator · 2024Article
- The Presence of Ghost Publications Among Canadian Plastic Surgery Residency Applicants: How Honest Are Canadians?Plastic surgery (Oakville, Ont.) · 2022Article
- Erratum: Trends in Academic "Ghost Publications" in Plastic Surgery Residency Applications: A 3-Year Study: Erratum.Plastic and reconstructive surgery. Global open · 2020Article
Corrections and comments
- Erratum issued
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Plastic surgery is an attractive specialty to medical students. Residency training programs have the luxury of selecting their trainees from the "cream of the crop" from United States medical schools. Because of the steep competition for PGY-1 integrated program positions, the temptation exists for applicants to falsify parts of their applications, particularly those parts that are difficult to verify.
methodsA retrospective analysis of the Integrated Plastic Surgery applications from the years (2010-2013) was done. Two reviewers manually and independently handsearched each of the articles in the databases (Medline, Scopus, Clinical trials, Google scholar) additionally, a specialized medical librarian corroborated. A ghost article was defined as the inability to find the listed applicant in the authorship list of the claimed article/abstract/chapter or the inability to find the submitted article. Misrepresentation was defined as a change in authorship order. Data were summarized and analyzed, generalized estimating equations model was used. SAS software, v9.4.
resultsAll 392 applicants were included, 159 (2010-2011), 120 (2011-2012), and 119 (2012-2013). The number of manually reviewed records was 2,124. "Ghost" authorship was found in 234 articles out of 2,124 (11.02%). The overall rate of "Ghost" authorship in applicants to our program was found to be 34.4%, 135 applicants and misrepresentation in 5 cases (1.28%).
conclusionsGhost publications are present in Plastic Surgery applications, its trend is similar through the years, "protective" factors are: first authorship and published peer reviewed abstract/article.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.