Evidence map›Paper›PMID 35985841›Full record

ArticleInternational wound journal2023

Relationship between items of DMIST and healing of diabetic foot ulcers.

Sayumi Tsuchiya, Suriadi, Hiromi Sanada, Junko Sugama, Makoto Oe

Abstract read
In one paragraph

Article in International wound journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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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

6 citing papers in PubMed.

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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.

Sayumi TsuchiyaDepartment of Clinical Nursing, Division of Health Sciences, Institute of Medical, Pharmaceutical, and Health Sciences, Kanazawa University, Ishikawa, Japan.ORCID https://orcid.org/0000-0002-0204-7772
SuriadiKitamura Wound Care Clinic Pontianak, West Borneo, Indonesia.ORCID https://orcid.org/0000-0001-5794-7826
Hiromi SanadaGlobal Nursing Research Center, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Junko SugamaResearch Center for Implementation Nursing Science Initiative, School of Health Sciences, Fujita Health University, Aichi, Japan.
Makoto OeDepartment of Clinical Nursing, Division of Health Sciences, Institute of Medical, Pharmaceutical, and Health Sciences, Kanazawa University, Ishikawa, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A monitoring tool for the wound-healing process of diabetic foot ulcers (DFUs) was developed. It comprises seven domains, namely, depth, maceration, inflammation/infection, size, tissue type of the wound bed, type of wound edge, and tunnelling/undermining. It was named "DMIST" based on the initials of its domains. Although DMIST is useful for assessing wound-healing processes, the monitoring items related to wound healing remain unclear, thereby making the selection of optimal care based on the assessment difficult. We identified the relationship between the DMIST items and wound healing. This study was a secondary analysis of five previous investigations and was conducted using DMIST based on the diabetic foot ulcer assessment scale score and DFU images. Multivariate logistic regression was used to calculate odds ratios (ORs) and 95% confidence intervals (95% CIs) after simultaneously controlling for potential confounders. The examined DFU healing status revealed that some DFUs healed at 4 weeks from baseline, whereas some DFUs did not. Variables considered in the models were the scores of each DMIST domain. The study population comprised 146 Indonesian patients and 33 Japanese patients. Depth, maceration, and size were associated with DFU healing at 4 weeks from baseline [depth: OR = 0.317 (95% CI: 0.145-0.693, P = 0.004); maceration: OR = 0.445 (95% CI: 0.221-0.896, P = 0.023); size: OR = 0.623 (95% CI: 0.451-0.862, P = 0.004)]. Our findings suggest that appropriate management of maceration promotes DFU healing.

Indexed as

Diabetes MellitusDiabetic FootHumansIndonesiaInflammationWound Healingdiabetic foot ulcersmacerationwound healing

Identifiers

PMID35985841
PMCPMC9885470

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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.