Evidence map›Paper›PMID 33431387›Full record

Observational studyAnnals of family medicine

Diagnostic Agreement Between Telemedicine on Social Networks and Teledermatology Centers.

Sophia Serhrouchni, Alexandre Malmartel

Abstract readObservational Study
In one paragraph

Observational study in Annals of family medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. 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

2 authors.

Sophia SerhrouchniDepartment of General Medicine, University of Paris, Paris, France.
Alexandre MalmartelDepartment of General Medicine, University of Paris, Paris, France alexandre.malmartel@u-paris.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeWith increasing delays in obtaining a dermatological consultation, general practitioners (GPs) are using social networks for telemedicine to obtain advice on dermatological images. The objective was to analyze diagnostic agreement between telemedicine on social networks (Twitter and MedPics) and standard teledermatology services (TDS).

methodsThis retrospective observational study included images published on Twitter and MedPics by GPs in 2016. The contextualized images were evaluated by 2 teledermatology services in Paris, France and an expert committee. Diagnoses obtained from telemedicine on social networks, TDS, and the expert committee were collected for each image. The agreement between the diagnoses made on social networks and by TDS was measured using Cohen

resultsTwo hundred and seventy health professionals responded to the 60 selected images from social networks. The main diagnoses, according to the experts were: purpura (8.3%), eczema (6.7%), mycosis (6.7%), and viral infections (6.7%). Diagnostic agreement between telemedicine on social networks and TDS was moderate over the entire set of images (

conclusionsDiagnostic agreement using social network images showed that use of this telemedicine tool could be a reliable means to alleviate the difficulties of accessing dermatology consultations although data safety probably needs to be improved.

Indexed as

DermatologySkin DiseasesSocial NetworkingTelemedicineGeneral PracticeHumansReferral and ConsultationRetrospective StudiesSocial Mediadermatologygeneral practicesocial mediasocial networkingtelemedicine

Identifiers

PMID33431387
PMCPMC7800733

What OpenQuestion holds

Textmetadata
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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.