Evidence map›Paper›PMID 42366847›Full record

ArticleInternational wound journal2026

Validation and Clinimetric Properties of the Persian Version of the Leg Ulcer Measurement Tool.

Qasem Hajilo, Manigeh Dehi, Zahra Jamshidi, Mehdi Raei, Mehdi Jafari-Oori

Abstract readValidation Study
In one paragraph

Article in International wound journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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.

Qasem HajiloStudent Research Committee, Baqiyatallah University of Medical Sciences, Tehran, Iran.
Manigeh DehiDepartment of Nursing, Maragheh University of Medical Sciences, Maragheh, Iran.
Zahra JamshidiDepartment of Nursing, School of Nursing and Midwifery, Shiraz University of Medical Sciences, Shiraz, Iran.
Mehdi RaeiHealth Research Center, Life Style Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran.ORCID https://orcid.org/0000-0002-5899-4744
Mehdi Jafari-OoriNursing Care Research Center, Clinical Sciences Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran.ORCID https://orcid.org/0000-0002-7788-7063

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Leg Ulcer Measurement Tool is a clinician-rated instrument designed to assess wound characteristics and monitor healing in patients with leg ulcers. No validated Persian version exists for use in Iranian healthcare settings. This study aimed to culturally adapt the tool into Persian and evaluate its clinimetric properties. This methodological study was conducted between December 2024 and October 2025 in Iran. Cross-cultural adaptation included forward translation, synthesis, back-translation, expert review and pilot testing. Face and content validity were assessed qualitatively and quantitatively. Construct validity was examined via comparison with the Bates-Jensen Wound Assessment Tool and known-groups analysis based on ulcer severity. Predictive validity was evaluated using logistic regression for amputation and healing outcomes. Intra- and inter-rater reliability were assessed using kappa, Gwet's AC, percent agreement and intraclass correlation coefficients. Predictive accuracy for amputation was analysed with receiver operating characteristic curves. All items demonstrated acceptable face and content validity. Severe ulcers showed significantly higher scores than mild/moderate ulcers (p < 0.001). Convergent validity with the comparative tool was high (r = 0.96-1.00) and total scores were strongly correlated (r = 0.864, p < 0.001). Higher baseline scores predicted increased odds of amputation (odds ratio = 1.13) and lower odds of complete healing (odds ratio = 0.93). Reliability was excellent (intraclass correlation coefficient > 0.99) and predictive accuracy for amputation was good (area under the curve = 0.80). The Persian Leg Ulcer Measurement Tool is valid, reliable and clinically accurate for assessing wound characteristics and predicting outcomes in Iranian patients, supporting its use in clinical practice and research.

Indexed as

Leg UlcerWound HealingAdultAgedAged, 80 and overFemaleHumansIranMaleMiddle AgedPsychometricsReproducibility of ResultsSeverity of Illness IndexSurveys and QuestionnairesIranleg ulcermeasurement toolvalidationwound assessment

Identifiers

PMID42366847
PMCPMC13311735

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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.