Research productivity among Canadian first year dermatology residents: A 15 year analysis
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Bibliographic record
Abstract
To the Editor: As matching into a Canadian dermatology residency program continues to increase in difficulty each year, evidenced by the declining match rate, it has become important to accurately characterize the scholarly profile of successful applicants.1CaRMSR-1 main residency match – first iteration.2023https://www.carms.ca/match/r-1-main-residency-match/r-1-match-timeline/Date accessed: October 20, 2023Google Scholar Although a variety of factors are considered during ranking, research publications are often used as a proxy for academic potential and can be considered a valuable, objective, and quantifiable variable which can demonstrate academic abilities and work ethic, indicate interest in the specialty, and allow students to begin developing relationships with practicing dermatologists.2Gorouhi F. Alikhan A. Rezaei A. Fazel N. Dermatology residency selection criteria with an emphasis on program characteristics: a national program director survey.Dermatol Res Pract. 2014; 2014692760https://doi.org/10.1155/2014/692760Crossref Scopus (38) Google Scholar Research can substantially affect the chance of a successful match and remains one of the few quantifiable metrics that can be controlled and modified by applicants.3Stratman E.J. Ness R.M. Factors associated with successful matching to dermatology residency programs by reapplicants and other applicants who previously graduated from medical school.Arch Dermatol. 2011; 147: 196-202https://doi.org/10.1001/archdermatol.2010.303Crossref PubMed Scopus (28) Google Scholar As such, applicants are under pressure to generate research publications to strengthen their application. This retrospective database study quantitatively characterizes trends in research productivity among medical students who matched into Canadian dermatology residency programs over the past 15 years. A review of national and provincial physician databases (Royal College of Physicians and Surgeons of Canada and College of Physicians and Surgeons of Ontario), was conducted to identify successful dermatology applicants that began their first year of training between 2008 and 2022. Metrics reflective of research productivity at the tie of residency application (publication count, dermatology publications, authorship position, and H-index) were obtained from Scopus and trends were identified and evaluated. Successful applicants were divided into 3 cohorts covering the 3 time periods 2008-2012, 2013-2017, and 2018-2022. From the 10 Canadian residency programs, the 371 incoming dermatology applicants generated 828 publications (mean 2.23 ± 2.07; median 1), of which 329 were dermatology-related (mean 0.89 ± 1.79; median 0), and the mean H-index was 1.36 ± 1.49. A significant increase (P < .001) in all research productivity metrics was observed during 2018-2022 compared with 2008-2012 and 2013-2017 (Fig 1 and Table I). Our results have determined that over the past 15 years, the amount of applicants that matched into dermatology residency programs with at least 1 publication has almost doubled, the total number of publications tripled, and the total number of dermatology publications increased 7-fold; which is twice the rate as nondermatology publications. Further, the significant increase in H-index and first author publications, despite the decreased time since publication, indicates the scholarly impact of publications continues to grow, and may suggest students are taking on greater leadership and ownership of projects.Table IDescriptive statistics of research productivity and research impact of successful dermatology applicants from 2008 to 2022 by year and type of publicationMetric200820092010201120122013201420152016201720182019202020212022TotalH-index0.60 (1.02)0.84 (1.44)1.21 (1.47)1.00 (1.42)1.22 (1.68)0.82 (1.17)1.36 (2.56)1.87 (1.60)2.17 (1.83)1.64 (1.47)1.95 (1.61)1.41 (1.17)1.32 (1.16)1.82 (1.57)1.36 (1.21)1.36 (1.49)Total publications0.72 (1.07)0.96 (1.49)1.39 (1.50)1.44 (1.51)1.35 (1.76)1.03 (1.23)1.76 (3.05)2.13 (1.66)3.38 (2.31)2.71 (1.98)3.25 (1.99)3.76 (1.93)2.32 (1.40)3.86 (2.52)5.09 (3.26)2.23 (2.07)Dermatology publications0.24 (0.72)0 (0)0.32 (0.97)0.33 (0.83)0.35 (1.10)0.33 (0.96)0.60 (0.96)0.39 (0.85)1.72 (2.06)0.61 (1.28)1.25 (1.48)2.29 (1.87)0.95 (1.21)1.45 (1.81)3.59 (3.22)0.89 (1.79)Publications as first author0.44 (0.91)0.28 (0.86)0.82 (1.28)1.00 (1.17)0.59 (1.12)0.39 (0.98)0.48 (0.82)1.17 (1.24)1.52 (1.74)0.82 (1.24)1.65 (1.49)2.00 (1.61)0.84 (0.91)1.32 (1.42)2.00 (1.82)0.96 (1.35)Values listed as mean (standard deviation). Open table in a new tab Values listed as mean (standard deviation). There appears to be a greater scholarly focus from residency programs and trainees as indicated by the increased research output among medical students that successfully matched into Canadian dermatology residency programs, seen in the setting of increased match competition. This may suggest an increased emphasis placed on medical research by both students and residency programs, a finding that has also been described in the United States and other competitive specialties throughout Canada.4Ezekor M. Pona A. Cline A. Huang W.W. Feldman S.R. An increasing trend in the number of publications and research projects among dermatology residency applicants.J Am Acad Dermatol. 2020; 83: 214-216https://doi.org/10.1016/j.jaad.2019.09.021Abstract Full Text Full Text PDF PubMed Scopus (18) Google Scholar Future studies can assess whether research productivity at the time of match is predictive of research output during residency, choice of pursuing a fellowship, or practice setting. None disclosed.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.030 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it