ArticleSystematic reviews2024
Teledermatology: an evidence map of systematic reviews.
Article in Systematic reviews, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled 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.
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
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Diagnostic accuracy of teledermatology for skin diseases: a systematic review and meta-analysis.Frontiers in medicine · 2026Pooled it
- Patient and physician satisfaction with video consultations in dermatology: An exploratory cross-sectional study.Journal der Deutschen Dermatologischen Gesellschaft = Journal of the German Society of Dermatology : JDDG · 2026Article
- Informatics-Based Psychotherapeutic and Psychiatric Interventions in Dermatology: Scoping Review of Impacts on Skin Disease Severity and Mental Health Outcomes.JMIR dermatology · 2026Article
- The Impact of Clinical and Dermoscopic Photographs on the Diagnostic Accuracy of Remote Optical Coherence Tomography Assessment for Basal Cell Carcinoma Detection: A Comparative Diagnostic Study.International journal of dermatology · 2026Article
- Patient-Centered Teledermatology: Bridging Pharmacies and Dermatologists.International journal of telemedicine and applications · 2026Article
- Knowledge, attitudes, and practices regarding melasma among female patients.Frontiers in public health · 2026Article
- Pruritus in Europe's Aging Populations: Regional and National Patterns, 1990-2023, and Forecasts to 2050: A Systematic Analysis for the Global Burden of Disease Study 2023.Clinical, cosmetic and investigational dermatology · 2026Article
- Integration of a tele-dermatology model for Epidermolysis Bullosa improves patient outreach: a before and after observational study.Frontiers in digital health · 2026Article
- The impact of tele-expertise in oncology: current state and future perspectives.Frontiers in digital health · 2025Article
- Asynchronous Teledermatology for Non-Scarring Alopecia: A Retrospective Study.Telemedicine reports · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAlthough the number of teledermatology studies is increasing, not all variables have been researched in equal depth, so there remains a lack of robust evidence for some teledermatology initiatives. This review describes the landscape of teledermatology research and identifies knowledge gaps and research needs. This evidence map can be used to inform clinicians about the current knowledge about teledermatology and guide researchers for future studies.
methodsOur evidence map was conducted according to the Campbell Collaboration checklist for evidence and gap maps. Eight databases were searched (CINAHL, Embase, PubMed, Scopus, Web of Science, Cochrane Library, JBI Database of Systematic Reviews and Implementation Reports, and OpenGray), and only included systematic reviews of teledermatology involving humans published in English; while excluding non-systematic reviews (i.e., abstracts, conference proceedings, editorials, commentaries, or letters). From 909 records, 14 systematic reviews published between 2004 and 2022 were included. Our analysis focused on the systematic reviews' characteristics, dermatological conditions studied, rate of overlap and quality assessment of primary studies reviewed, and main findings reported.
resultsTeledermatology was reportedly comparable with clinic dermatology and generally accepted by patients as a mode of care delivery for dermatological conditions. However, there are concerns about privacy, communication, completeness of information transmitted, familiarity with the technology, and technical problems. Healthcare professionals were generally satisfied with teledermatology but found telemedicine consultations longer than face-to-face consultations, and less confident in asynchronous teledermatology than conventional consultations. Teledermatology was reportedly more cost-effective than clinic dermatology; especially considering the distance traveled by patients, referral volume to teledermatology, and clinic dermatology costs. Although patients and providers are satisfied with teledermatology, face-to-face dermatology has higher diagnostic and management accuracy. Teledermatology was also used for training medical professionals. Regarding the validity and reliability of teledermatology outcome measures, no significant discussions were found.
conclusionsCOVID-19 spotlighted telemedicine in clinical care, and we must ensure telemedicine continually improves with robust research. Further research is necessary for establishing a standardized outcome set, enhancing accuracy, concordance, cost-effectiveness, and safety, comparing teledermatology with non-dermatologist care, examining its effectiveness in non-Western low and middle-income countries, and incorporating patient involvement for improved study design. SYSTEMATIC REVIEW REGISTRATION: https://www.researchregistry.com/ (Unique Identifying Number: reviewregistry878).
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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.