Evidence map›Paper›PMID 36159122›Full record

ArticleDermatology practical & conceptual2022

Dermoscopic Photographs Impact Confidence and Management of Remotely Triaged Skin Lesions.

Tova Rogers, Myles Randolph McCrary, Howa Yeung, Loren Krueger, Suephy C Chen

Abstract read
In one paragraph

Article in Dermatology practical & conceptual, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. A Primary Care Intervention to Improve Melanoma Detection and Management.Journal of the American Board of Family Medicine : JABFM · 2026
    Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Tova Rogers *Department of Dermatology, Emory University School of Medicine, Atlanta, Georgia, USA.
Myles Randolph McCrary *Department of Dermatology, Emory University School of Medicine, Atlanta, Georgia, USA.
Howa YeungDepartment of Dermatology, Emory University School of Medicine, Atlanta, Georgia, USA.
Loren KruegerDepartment of Dermatology, Emory University School of Medicine, Atlanta, Georgia, USA.
Suephy C ChenRegional Telehealth Service, VISN 7, Duluth, Georgia, USA.

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM008169 · NIGMS · EMORY UNIVERSITY · PI GROSS, ROBERT E · 1987 to 2021
$20.3M
NIGMS NIH HHS T32 GM008169
6 · The paper itself

Abstract

Introduction: Improving remote triage is crucial given expansions in tele-dermatology and with limited in-person care during COVID-19. In addition to clinical pictures, dermoscopic images may provide utility for triage. Objectives: To determine if dermoscopic images enhance confidence, triage accuracy, and triage prioritization for tele-dermatology. Methods: In this preliminary parallel convergent mixed-methods study, a cohort of dermatologists and residents assessed skin lesions using clinical and dermoscopic images. For each case, participants viewed a clinical image and determined diagnostic category, management, urgency, and decision-making confidence. They subsequently viewed the associated dermoscopy and answered the same questions. A moderated focus group discussion followed to explore perceptions on the role of dermoscopy in tele-dermatology. Results: Dermoscopy improved recognition of malignancies by 23% and significantly reduced triage urgency measures for non-malignant lesions. Participants endorsed specific utilities of tele-dermoscopy, such as for evaluating pigmented lesions, with limitations including poor image quality. Conclusions: Dermoscopic images may be useful when remotely triaging skin lesions. Standardized imaging protocols are needed.

Indexed as

dermoscopymelanomaskin cancertele-dermatologytelemedicine

Identifiers

PMID36159122
PMCPMC9464534

What OpenQuestion holds

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Registered trials

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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.