ArticleBMJ open2022
Ultrasound measurements of pathological and physiological skin thickness: a scoping review protocol.
Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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.
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.
Who cites it
5 citing papers in PubMed, 9 citations in OpenAlex.
- Article
- Development and Validation of a Composite Skin Quality Scale.Aesthetic surgery journal. Open forum · 2024Article
- Article
- Skin Cancer Pathobiology at a Glance: A Focus on Imaging Techniques and Their Potential for Improved Diagnosis and Surveillance in Clinical Cohorts.International journal of molecular sciences · 2023Review
- The Effects of Subacute Sunlight Exposure on Skin Thickness: A Pilot Sonographic Study.Journal of medical ultrasoundArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionUltrasound is a quick, safe, and non-invasive imaging method that can be used to measure skin thickness in pathological cutaneous conditions in clinical and research settings. Despite widespread use, there exists a lack of standardisation and reporting of ultrasound skin thickness measurement methods, which makes between-studies comparisons difficult. To address this, we present a scoping review protocol, which aims to determine what is and is not known about the measurement of skin and scar thickness using ultrasound in people with traumatic scars. METHODS AND ANALYSIS: The Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews guidelines and Joanna Briggs Institute scoping review methodology will be used to guide this review. Electronic database searching will be conducted in Ovid MEDLINE, Embase, Cumulative Index of Nursing and Allied Health Literature and Web of Science. No date limit will be imposed on the database searches. Records will be supplemented with searches of reference lists of included studies and grey literature in OpenGrey and Google Advanced. Screening will be conducted by two independent reviewers, and studies where ultrasound is used to measure skin and scar thickness in people with traumatic scars will be included. Data extraction will include ultrasound methods (eg, transducer orientation), psychometric properties (eg, reliability, measurement error), health service and implementation outcomes (eg, feasibility, acceptability) and factors influencing ultrasound measurement of skin thickness (eg, body location, age). ETHICS AND DISSEMINATION: Ethical approval is not required for this investigation, as published literature will form the basis of the review. The review will be published in a peer-reviewed scientific journal and is expected to result in the development of the first evidence-based and consensus-based methodological guideline for skin thickness measurement by ultrasound.
Indexed as
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What OpenQuestion holds
Registered trials
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.