Evidence map›Paper›PMID 33855895›Full record

ArticleHand (New York, N.Y.)2023

The Ability of Patients to Provide Standardized, Patient-Taken Photographs for the Remote Assessment of Dupuytren Disease.

Esmee Irvine, Leela Sayed, Nick Johnson, Joseph Dias

Abstract read
In one paragraph

Article in Hand (New York, N.Y.), 2023. 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. Trial
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.

Esmee IrvineUniversity Hospitals of Leicester, UK.ORCID 0000-0002-1606-8005
Leela SayedUniversity Hospitals of Leicester, UK.
Nick JohnsonUniversity Hospitals of Leicester, UK.
Joseph DiasUniversity Hospitals of Leicester, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundClinical goniometry for the assessment of contracture in Dupuytren disease is time-consuming and costly, and there is no universal method for evaluating the severity of the disease. This study aims to evaluate the feasibility of patient-taken photography for the remote assessment of Dupuytren disease.

methodsPatients at our unit were provided with instructions on how to take standardized photographs of their diseased hand(s), which were subsequently analyzed by computer software to obtain formal measurements of the severity of disease. Compliance with photography instructions and ability to provide a photo of sufficient quality for analysis were measured.

resultsIn all, 222 patients supplied photos for analysis; 158 patients (71.2%) were able to take the photographs as instructed. The remaining 28.8% took 1 or more of the images incorrectly or of insufficient quality. There were no statistically significant differences between those able to take the photos as directly versus those who took the photos incorrectly when compared by sex, age, or severity of disease.

conclusionsPatient-taken photography used to estimate disease severity in Dupuytren disease is an achievable, efficient, and reliable method of remotely assessing and monitoring patients and may be increasingly useful given the current health care climate and preference for remote consultations.

Indexed as

Dupuytren ContractureHumansPhotographySoftwareDupuytren contractureDupuytren diseasepatient-initiated photographytelemedicine

Identifiers

PMID33855895
PMCPMC9806523

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.