ArticlePRiMER (Leawood, Kan.)2021
Teaching Skin Cancer Detection to Medical Students Using a Dermoscopic Algorithm.
Article in PRiMER (Leawood, Kan.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. 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, 14 citations in OpenAlex.
- Training Primary Care Practitioners In Dermoscopy Diagnostic Algorithms Enhances Diagnostic Accuracy and Triage of Suspected Skin Cancer: Scoping Review Evidence.Dermatology practical & conceptual · 2025Review
- Comparison of Ophthalmologists versus Dermatologists for the Diagnosis and Management of Periorbital Atypical Pigmented Skin Lesions.Journal of clinical medicine · 2024Article
- Expert Consensus Statement on Proficiency Standards for Dermoscopy Education in Primary Care.Journal of the American Board of Family Medicine : JABFM · 2023Article
- The Accuracy of Skin Cancer Detection Rates with the Implementation of Dermoscopy Among Dermatology Clinicians: A Scoping Review.The Journal of clinical and aesthetic dermatologyArticle
- Impact of Dermoscopy Training on Diagnostic Accuracy, and Its Association With Biopsy and Referral Patterns Among Primary Care Providers: A Retrospective and Prospective Educational Intervention Study.Journal of primary care & community healthArticle
- Dermoscopy Education in Undergraduate Medical Education: Scoping Review of Pedagogical Approaches and Gaps.Journal of medical education and curricular developmentReview
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 1 country.
Funding
Abstract
introductionEarly detection of melanoma skin cancer improves survival rates. Training family physicians in dermoscopy with the triage amalgamated dermoscopic algorithm (TADA) has high sensitivity and specificity for identifying malignant skin neoplasms. In this study we evaluated the effectiveness of TADA training among medical students, compared with practicing clinicians.
methodsWe incorporated the TADA framework into 90-minute workshops that taught dermoscopy to family physicians, primary care residents, and first- and second-year medical students. The workshop reviewed the clinical and dermoscopic features of benign and malignant skin lesions and included a hands-on interactive session using a dermatoscope. All participants took a 30-image pretest and a different 30-image posttest.
resultsForty-six attending physicians, 25 residents, and 48 medical students participated in the workshop. Mean pretest scores were 20.1, 20.3, and 15.8 for attending physicians, resident physicians and students, respectively (
conclusionAfter short dermoscopy workshop, medical students perform as well as trained physicians in identifying images of malignant skin lesions. Dermoscopy training may be a valuable addition to the medical school curriculum as this skill can be used by primary care physicians as well as multiple specialists including dermatologists, gynecologists, otolaryngologists, plastic surgeons, and ophthalmologists, who often encounter patients with concerning skin lesions.
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.