Evidence map›Paper›PMID 39223200›Full record

ArticleScientific reports2024

Developing and evaluating a mobile-based teledermatology system for skin lesion diagnosis in Iran.

Zeinab Shajirat, Ronak Parandeh, Nader Pazyar, Amirabbas Azizi

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Zeinab ShajiratMedical Record Department, Behbahan Faculty of Medical Sciences, Behbahan, Iran.
Ronak ParandehStudent Research Committee, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
Nader PazyarDepartment of Dermatology, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
Amirabbas AziziSchool of Allied Medical Sciences, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran. amirabbas.azizi@gmail.com.

Funding

Ahvaz Jundishapur University of Medical Sciences IR.AJUMS.REC.1401.175
6 · The paper itself

Abstract

Asynchronous teledermatology (TD) has shown promise in improving access to dermatological care, yet studies reveal varied methodologies and results. This study aimed to design a mobile app using the store-and-forward model, marking a pioneering effort in Iran to facilitate written documentation of patient history and skin lesion imagery for accurate diagnosis. Conducted from July 2022 to July 2023, this study involved the development and implementation of a smartphone app to collect clinical data and photographs from 89 patients at a dermatology clinic. Diagnoses made at the clinic served as the gold standard. Three dermatologists independently reviewed the app-recorded data, providing diagnoses that were compared to in-person assessments using the Kappa coefficient and agreement percentage. Lesions were predominantly located on the whole body (47%), with psoriasis (19.1%), acne vulgaris (11.2%), and eczema (10%) being the most common. The overall inter-observer Kappa value demonstrated excellent agreement at 0.856. The study's findings endorse the use of a mobile app for TD as an effective adjunct in regions with scarce dermatological services, such as Iran. To promote the broader application of TD, ongoing research is essential to further establish its reliability and practicality.

Indexed as

DermatologyMobile ApplicationsSkin DiseasesTelemedicineAdolescentAdultAgedChildFemaleHumansIranMaleMiddle AgedReproducibility of ResultsSmartphoneYoung AdultMobile appSkin diseasesStore-and-forwardTeledermatologyTelemedicine

Identifiers

PMID39223200
PMCPMC11369085

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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.