ArticleArchives of dermatological research2023
The utility of augmented teledermatology to improve dermatologist diagnosis of cellulitis: a cross-sectional study.
Article in Archives of dermatological research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.
What it found
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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
1 citing paper in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.
- Diagnostic accuracy of teledermatology for skin diseases: a systematic review and meta-analysis.Frontiers in medicine · 2026Pooled it
Corrections and comments
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Authors and funding
9 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Dermatology consultation for cases of presumed cellulitis improves diagnostic accuracy and management. However, access to in-person consultation remains limited, a gap that could be filled with teledermatology. Augmented teledermatology may improve outcomes. In this cross-sectional study, 20 dermatologists (60% of whom reported conducting inpatient consults > 1 month per year) reviewed 10 real-life cases representing either cellulitis or pseudocellulitis as diagnosed by in-person dermatology consultation. For each case, respondents recorded their diagnosis, confidence, and management decisions after viewing the history and standard teledermatology photos, the responses to a physician-reported cellulitis questionnaire, and finally thermal images. Overall mean diagnostic accuracy increased from 84 ± 4% with the history and physical to 89 ± 3% when adding a cellulitis questionnaire and thermal images (p = 0.23). Accuracy for cellulitis cases specifically significantly increased from 76 ± 6% to 88 ± 4% when adding a cellulitis questionnaire and thermal images (p = 0.049). Accuracy for pseudocellulitis was consistently ≥ 94%. Augmented teledermatology with a standardized questionnaire and thermal images improved diagnostic accuracy for cases of cellulitis and may increase physician confidence. Dermatologists were able to accurately diagnose regardless of experience with inpatient consults, increasing the pool of potential dermatologists who could diagnose cellulitis remotely.
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Registered trials
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