Evidence map›Paper›PMID 28842686›Full record

ArticleScientific reports2017

The validity and reliability of remote diabetic foot ulcer assessment using mobile phone images.

Jaap J van Netten, Damien Clark, Peter A Lazzarini, Monika Janda, Lloyd F Reed

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 3 pooled it
4.3field-weighted citation impact, top 5% 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.

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

32 citing papers in PubMed, 3 syntheses or guidelines pooled it, 81 citations in OpenAlex.

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  20. Construction and verification of an intelligent measurement model for diabetic foot ulcer.Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2021
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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

5 authors at 2 institutions in 1 country.

Jaap J van NettenSchool of Clinical Sciences, Institute for Health and Biomedical Innovation, Queensland University of Technology, Brisbane, QLD, Australia. Jaap.vannetten@qut.edu.au.ORCID 0000-0002-6420-6046
Damien ClarkWound Management Innovation Cooperative Research Centre, West End, QLD 4101, Australia.
Peter A LazzariniSchool of Clinical Sciences, Institute for Health and Biomedical Innovation, Queensland University of Technology, Brisbane, QLD, Australia.
Monika JandaSchool of Public Health and Social Work, Institute for Health and Biomedical Innovation, Queensland University of Technology, Brisbane, QLD, Australia.ORCID 0000-0002-1728-8085
Lloyd F ReedSchool of Clinical Sciences, Institute for Health and Biomedical Innovation, Queensland University of Technology, Brisbane, QLD, Australia.
Queensland University of Technology · AUQueensland Health · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite their potential for telemedicine in diabetic foot ulcer treatment, diagnostic accuracy of assessment of diabetic foot ulcers using mobile phone images is unknown. Our aim was to determine the validity and reliability of remote diabetic foot ulcer assessment using mobile phone images. Fifty diabetic foot ulcers were assessed live and photographed. Five independent observers remotely assessed the mobile phone images twice for presence of nine clinical characteristics and three treatment decisions. Positive likelihood (LLR+) and negative likelihood (LLR-) ratios were calculated for validity. Multirater Randolph's and bi-rater Bennet kappa values were calculated for reliability. LLR+ ranged from 1.3-4.2; LLR- ranged from 0.13-0.88; the treatment decision 'peri-wound debridement' was the only item with 'strong diagnostic evidence'. Inter-observer reliability kappa ranged from 0.09-0.71; test-retest reliability from 0.45-0.86; the treatment decision 'peri-wound debridement' was the only item with 'adequate agreement'. In conclusion, mobile phone images had low validity and reliability for remote assessment of diabetic foot ulcers and should not be used as a stand-alone diagnostic instrument. Clinicians who use mobile phone images in clinical practice should obtain as much additional information as possible when making treatment decisions based on these images, and be cautious of the low diagnostic accuracy.

Indexed as

Cell PhoneOptical ImagingTelepathologyAgedDiabetic FootFemaleHumansMaleMiddle AgedOutcome Assessment, Health CarePrevalenceReproducibility of ResultsTelemedicine

Identifiers

PMID28842686
PMCPMC5573347
OpenAlexW2749803101

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.