Evidence map›Paper›PMID 29277969›Full record

ArticleInternational wound journal2018

Predicting delayed healing: The diagnostic accuracy of a venous leg ulcer risk assessment tool.

Helen E Edwards, Christina N Parker, Charne Miller, Michelle Gibb, Suzanne Kapp, Rajna Ogrin, Jacinta Anderson, Kerrie Coleman, Dianne Smith, Kathleen J Finlayson

Abstract read
In one paragraph

Article in International wound journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Prognostic models for clinical outcomes in patients with venous leg ulcers: A systematic review.Journal of vascular surgery. Venous and lymphatic disorders · 2024
    Pooled it
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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

10 authors.

Helen E EdwardsFaculty of Health, Queensland University of Technology, Brisbane, Australia.
Christina N ParkerFaculty of Health, Queensland University of Technology, Brisbane, Australia.
Charne MillerLa Trobe University, Melbourne, Australia.
Michelle GibbWound Management Innovation Cooperative Research Centre, Australia.
Suzanne KappDepartment of Nursing, School of Health Sciences, The University of Melbourne, Melbourne, Australia.
Rajna OgrinCentre for wound management, RDNS Institute, St. Kilda, Australia.ORCID http://orcid.org/0000-0002-4192-7254
Jacinta AndersonRoyal District Nursing Service, Brisbane, Australia.
Kerrie ColemanMultidisciplinary Skin Integrity Service, Royal Brisbane & Womens Hospital, Brisbane, Australia.
Dianne SmithMultidisciplinary Skin Integrity Service, Royal Brisbane & Womens Hospital, Brisbane, Australia.
Kathleen J FinlaysonFaculty of Health, Queensland University of Technology, Brisbane, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to validate a newly developed tool that can predict the risk of failure to heal of a venous leg ulcer in 24 weeks. The risk assessment tool was validated, and performance of the tool was assessed using Area Under the Receiver Operating Characteristic Curve (AUC) analysis. Retrospective and prospective validation was conducted through multi-site, longitudinal studies. In the retrospective study (n = 318), 30% of ulcers did not heal within 24 weeks, with the tool demonstrating an AUC of 0.80 (95% CI, 0.68-0.93, P < .001) for the total score. In the prospective study across 10 clinical sites (n = 225), 31% (n = 68) of ulcers did not heal within 24 weeks. Participants were classified with the RAT at enrolment as being at low risk (27%), moderate risk (53%) or high risk (20%) of delayed healing; the proportion of wounds unhealed at 24 weeks was 6%, 29% and 59%, respectively. Validation results of the total score indicated good discrimination and goodness of fit with an AUC of 0.78 (95% CI, 0.71-0.85, P < .001). Validation of this risk assessment tool offers assurance that realistic outcomes can be predicted for patients, and scores can guide early decisions on interventions to address specific risk factors for failing to heal, thus promoting timely healing.

Indexed as

AgedAged, 80 and overFemaleForecastingHumansMaleMiddle AgedProspective StudiesReproducibility of ResultsRetrospective StudiesRisk AssessmentRisk FactorsTime FactorsVaricose UlcerWound Healingdelayed healingnon-healingrisk assessment toolvalidationvenous leg ulcer

Identifiers

PMID29277969
PMCPMC7950125

What OpenQuestion holds

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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.