Evidence map›Paper›PMID 34738578›Full record

ArticleActa bio-medica : Atenei Parmensis2021

Wounds morphologic assessment: application and reproducibility of a virtual measuring system, pilot study.

Giuseppe Guarro, Federico Cozzani, Matteo Rossini, Elena Bonati, Paolo Del Rio

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Article in Acta bio-medica : Atenei Parmensis, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
66citing papers in PubMed, 3 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

66 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  10. Human Adipose Allograft Restores Volume Through Host-mediated Tissue Replacement.Plastic and reconstructive surgery. Global open · 2026
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  13. Negative Pressure Wound Therapy Modulates Wound pH and Bacterial Invasion inPlastic and reconstructive surgery. Global open · 2026
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6 more citing papers are in PubMed but not listed here.

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.

Giuseppe GuarroTranslational Medical and Surgical Sciences PhD Program, University of Parma. giuseppeguarromd@gmail.com.
Federico CozzaniGeneral Surgery Unit, University Hospital of Parma. giuseppeguarromd@gmail.com.
Matteo RossiniGeneral Surgery Unit, University Hospital of Parma. giuseppeguarromd@gmail.com.
Elena BonatiGeneral Surgery Unit, University Hospital of Parma. giuseppeguarromd@gmail.com.
Paolo Del RioGeneral Surgery Unit, University Hospital of Parma. giuseppeguarromd@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsAssessment of wounds morphology can be considered, in the everyday medical activity, the first step for the correct pathway of diagnosis. Authors present a pilot study focused on the statistical analysis of 32 cases of wounds measurements conducted by both the traditional method (paper ruler) both the digital smartphone analysis. MATERIALS AND

methods32 lesions were morphologically evaluated. All the enrolled patients were evaluated by both the traditional method (paper ruler) both a digital smartphone analysis based on the app imitoMeasure. The extracted data were compared to the traditional measurements and a statistical analysis was based on intraclass correlation coefficients (ICC).

resultsThree morphological parameters were evaluated: width (expressed in cm), length (expressed in cm) and area (expressed in cm2). The area (expressed in cm2) was found to be the less comparable, but the data were close in this case, too.

conclusionThe present study shows that the digital measuring systems should be easily addressed as versatile tools that could be applied in daily clinical practice in the future.

Indexed as

SmartphoneHumansPilot ProjectsReproducibility of Results

Identifiers

PMID34738578
PMCPMC8689305

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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.