Evidence map›Paper›PMID 37933569›Full record

ArticleJournal of primary care & community health

Clinical Utility of an AI-powered, Handheld Elastic Scattering Spectroscopy Device on the Diagnosis and Management of Skin Cancer by Primary Care Physicians.

Erik Jaklitsch, Todd Thames, Thomaz de Campos Silva, Patrick Coll, Margaret Oliviero, Laura Korb Ferris

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Journal of primary care & community health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06463860 (Retrospective, Multi-Center Study to Evaluate the Performance of DermDx as an Adjunctive Tool for Primary Care Physicians in the Detection of Skin Cancers), which is not on this map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
3.2field-weighted citation impact, top 7% of its field
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.

NCT06463860 completednot on this map

Retrospective, Multi-Center Study to Evaluate the Performance of DermDx as an Adjunctive Tool for Primary Care Physicians in the Detection of Skin Cancers

TypeobservationalSponsorMetaOptima Technology Inc.Ran2024 to 2024Enrolled81ConditionsSkin CancerArmsDermDx
3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. AI and Primary Care: Scoping Review.Journal of medical Internet research · 2025
    Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
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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

6 authors at 4 institutions in 1 country.

Erik JaklitschSchool of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.ORCID 0000-0002-9311-1660
Todd ThamesTrinity University, San Antonio, TX, USA.
Thomaz de Campos SilvaKangaroo Point Medical Centre, Brisbane, QLD, Australia.
Patrick CollUConn Health, Farmington, CT, USA.
Margaret OlivieroDermatology Department, Skin and Cancer Associates, Plantation, FL, USA.
Laura Korb FerrisDepartment of Dermatology, University of Pittsburgh, Pittsburgh, PA, USA.
University of Pittsburgh · USSkin Cancer Foundation · USTrinity University · USUConn Health · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatients with lesions suspicious for skin cancer often present to primary care physicians (PCPs), who may have limited training in skin cancer diagnosis.

objectiveTo measure the impact of an adjunctive handheld device for PCPs that employs elastic scattering spectroscopy (ESS) on the diagnosis and management of skin cancer.

methodsFifty-seven PCPs evaluated 50 clinical images of skin lesions (25 malignant and 25 benign), first without and then with knowledge of the handheld ESS device output, and in each case indicated if a lesion was likely to be benign or malignant.

resultsThe diagnostic sensitivity of the PCPs with and without the use of the ESS device was 88% (95% CI, 84%-92%) and 67% (95% CI, 62%-72%), respectively (

conclusionThe use of the ESS device may have the potential to help improve skin cancer diagnosis and confidence in management decision-making in a primary care setting.

Indexed as

MelanomaPhysicians, Primary CareSkin NeoplasmsArtificial IntelligenceHumansSpectrum Analysisartificial intelligencebasal cell carcinomaconvolutional neural networkdermatologistdermatologymachine learningmelanomaskin cancerspectroscopysquamous cell carcinoma

Identifiers

PMID37933569
PMCPMC10631325
OpenAlexW4388466584

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.