Evidence map›Paper›PMID 29653918›Full record

SynthesisJournal of medical Internet research2018

Use of Smartphones for Early Detection of Melanoma: Systematic Review.

Cédric Rat, Sandrine Hild, Julie Rault Sérandour, Aurélie Gaultier, Gaelle Quereux, Brigitte Dreno, Jean-Michel Nguyen

Abstract readSystematic Review
In one paragraph

Synthesis in Journal of medical Internet research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 2 pooled it
–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

37 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Trial
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Observational
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Digital skin imaging applications, part I: Assessment of image acquisition technique features.Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI) · 2022
    Article
  18. Article
  19. Article
  20. Clinical Decision Support Systems.Visceral medicine · 2021
    Review
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

7 authors.

Cédric RatDepartment of General Practice, Faculty of Medicine, University of Nantes, Nantes, France.ORCID 0000-0003-4556-4494
Sandrine HildDepartment of General Practice, Faculty of Medicine, University of Nantes, Nantes, France.ORCID 0000-0002-7727-1939
Julie Rault SérandourDepartment of General Practice, Faculty of Medicine, University of Nantes, Nantes, France.ORCID 0000-0002-6741-3067
Aurélie GaultierDepartment of Epidemiology and Biostatistics, Nantes University Hospital, CHU Nantes, Nantes, France.ORCID 0000-0002-8266-1210
Gaelle QuereuxUnit 1232 - Team 2, Centre de Recherche en Cancérologie, French National Institute of Health and Medical Research, Nantes, France.ORCID 0000-0002-1739-1701
Brigitte DrenoUnit 1232 - Team 2, Centre de Recherche en Cancérologie, French National Institute of Health and Medical Research, Nantes, France.ORCID 0000-0001-5574-5825
Jean-Michel NguyenUnit 1232 - Team 2, Centre de Recherche en Cancérologie, French National Institute of Health and Medical Research, Nantes, France.ORCID 0000-0001-8815-7640

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe early diagnosis of melanoma is associated with decreased mortality. The smartphone, with its apps and the possibility of sending photographs to a dermatologist, could improve the early diagnosis of melanoma.

objectiveThe aim of our review was to report the evidence on (1) the diagnostic performance of automated smartphone apps and store-and-forward teledermatology via a smartphone in the early detection of melanoma, (2) the impact on the patient's medical-care course, and (3) the feasibility criteria (focusing on the modalities of picture taking, transfer of data, and time to get a reply).

methodsWe conducted a systematic search of PubMed for the period from January 1, 2007 (launch of the first smartphone) to November 1, 2017.

resultsThe results of the 25 studies included 13 concentrated on store-and-forward teledermatology, and 12 analyzed automated smartphone apps. Store-and-forward teledermatology opens several new perspectives, such as it accelerates the care course (less than 10 days vs 80 days), and the related procedures were assessed in primary care populations. However, the concordance between the conclusion of a teledermatologist and the conclusion of a dermatologist who conducts a face-to-face examination depended on the study (the kappa coefficient range was .20 to .84, median κ=.60). The use of a dermoscope may improve the concordance (the kappa coefficient range was .29 to .87, median κ=.74). Regarding automated smartphone apps, the major concerns are the lack of assessment in clinical practice conditions, the lack of assessment in primary care populations, and their low sensitivity, ranging from 7% to 87% (median 69%). In this literature review, up to 20% of the photographs transmitted were of insufficient quality. The modalities of picture taking and encryption of the data were only partially reported.

conclusionsThe use of store-and-forward teledermatology could improve access to a dermatology consultation by optimizing the care course. Our review confirmed the absence of evidence of the safety and efficacy of automated smartphone medical apps. Further research is required to determine quality criteria, as there was major variability among the studies.

Indexed as

Early DiagnosisHumansMelanomaSmartphoneTelemedicinemelanomamobile appscreeningsmartphoneteledermatologytelemedicine

Identifiers

PMID29653918
PMCPMC5923035

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.