Evidence map›Paper›PMID 25375169›Full record

ArticlePloS one2014

Standardising and assessing digital images for use in clinical trials: a practical, reproducible method that blinds the assessor to treatment allocation.

Asha C Bowen, Kara Burns, Steven Y C Tong, Ross M Andrews, Robyn Liddle, Irene M O'Meara, Darren W Westphal, Jonathan R Carapetis

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact, top 96% 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

11 citing papers in PubMed, 0 citations in OpenAlex.

  1. Trial
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  4. [Deep Learning-Based Identification of Common Complication Features of Surgical Incisions].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2023
    Article
  5. Article
  6. Article
  7. Article
  8. Article
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  10. Observational
  11. 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

8 authors at 4 institutions in 1 country.

Asha C BowenMenzies School of Health Research, Charles Darwin University, Darwin, NT, Australia; Royal Darwin Hospital, Darwin, NT, Australia; Telethon Kids Institute for Child Health Research, University of Western Australia, Perth, WA, Australia; Princess Margaret Hospital for Children, Perth, WA, Australia.
Kara BurnsRoyal Darwin Hospital, Darwin, NT, Australia; School of Business, Queensland University of Technology, Brisbane, QLD, Australia.
Steven Y C TongMenzies School of Health Research, Charles Darwin University, Darwin, NT, Australia; Royal Darwin Hospital, Darwin, NT, Australia.
Ross M AndrewsMenzies School of Health Research, Charles Darwin University, Darwin, NT, Australia.
Robyn LiddleMenzies School of Health Research, Charles Darwin University, Darwin, NT, Australia.
Irene M O'MearaMenzies School of Health Research, Charles Darwin University, Darwin, NT, Australia.
Darren W WestphalMenzies School of Health Research, Charles Darwin University, Darwin, NT, Australia; Telethon Kids Institute for Child Health Research, University of Western Australia, Perth, WA, Australia.
Jonathan R CarapetisTelethon Kids Institute for Child Health Research, University of Western Australia, Perth, WA, Australia; Princess Margaret Hospital for Children, Perth, WA, Australia.
Charles Darwin University · AUMenzies School of Health Research · AUQueensland University of Technology · AUUniversity of Western Australia · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the increasing availability of high quality digital cameras that are easily operated by the non-professional photographer, the utility of using digital images to assess endpoints in clinical research of skin lesions has growing acceptance. However, rigorous protocols and description of experiences for digital image collection and assessment are not readily available, particularly for research conducted in remote settings. We describe the development and evaluation of a protocol for digital image collection by the non-professional photographer in a remote setting research trial, together with a novel methodology for assessment of clinical outcomes by an expert panel blinded to treatment allocation.

Indexed as

HumansImage Interpretation, Computer-AssistedImage Processing, Computer-AssistedImpetigoSkin Diseases

Identifiers

PMID25375169
PMCPMC4222834
OpenAlexW1561612765

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.