ReviewQuantitative imaging in medicine and surgery2020
Ultrasound imaging, a stethoscope for body composition assessment.
Review in Quantitative imaging in medicine and surgery, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06728722 (Detection of the Changes in Body Composition of Critically Ill Obstetrics by Ultrasound and the Co-relations With Clinical Outcomes; a Prospective Observational Study.), which is not on this map. Cited by 25 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.
Detection of the Changes in Body Composition of Critically Ill Obstetrics by Ultrasound and the Co-relations With Clinical Outcomes; a Prospective Observational Study.
Who cites it
25 citing papers in PubMed, 60 citations in OpenAlex.
- Clinical Assessment of Obesity Beyond Body Mass Index: Adiposity Evaluation, Body-Composition Phenotyping and Disease Staging: A Narrative Review.Diagnostics (Basel, Switzerland) · 2026Review
- Diagnostic Utility of Muscle Ultrasound for Sarcopenia in Prader-Willi Syndrome: A Cross-Sectional Study.Journal of cachexia, sarcopenia and muscle · 2026Observational
- A machine learning approach to using ultrasound for body composition and nutritional status assessment in newborns: a pilot study protocol.Pilot and feasibility studies · 2026Article
- Beyond the tumor: towards a cachexia-based host phenotype through body composition analysis in patients with resectable lung cancer.Translational lung cancer research · 2025Review
- A Decade of Progress in Ultrasound Assessments of Subcutaneous and Total Body Fat: A Scoping Review.Life (Basel, Switzerland) · 2025Review
- Ultrasound for assessing paediatric body composition and nutritional status: Scoping review and future directions.Acta paediatrica (Oslo, Norway : 1992) · 2025Article
- Skeletal muscle as a pro- and anti-inflammatory tissue: insights from children to adults and ultrasound findings.Journal of ultrasound · 2024Review
- Myosteatosis: diagnostic significance and assessment by imaging approaches.Quantitative imaging in medicine and surgery · 2024Review
- Development of Continuous Assessment of Muscle Quality and Frailty in Older Patients Using Multiparametric Combinations of Ultrasound and Blood Biomarkers: Protocol for the ECOFRAIL Study.JMIR research protocols · 2024Article
- Skeletal Muscle Echo Intensity Values Differ Significantly across Ultrasound Parameter Settings.Life (Basel, Switzerland) · 2024Article
- Anthropometric parameters as a predictor for abdominal wall thickness in a patient with gastrostomy.PloS one · 2024Article
- Body composition assessment with ultrasound muscle measurement: optimization through the use of semi-automated tools in colorectal cancer.Frontiers in nutrition · 2024Article
- Body Composition Evaluation and Clinical Markers of Cardiometabolic Risk in Patients with Phenylketonuria.Nutrients · 2023Review
- Quantification of muscle tone by using shear wave velocity during an anaesthetic induction: a prospective observational study.BMC anesthesiology · 2023Observational
- Evaluation of ultrasonographic approaches aimed at determining distinct abdominal adipose tissue depots.Archives of endocrinology and metabolism · 2023Article
- Body Harmonization: The Definition of a New Concept.Clinical, cosmetic and investigational dermatology · 2023Review
- A Recreational Swimming Intervention during the Whole School Year Improves Fitness and Cardiometabolic Risk in Children and Adolescents with Overweight and Obesity.International journal of environmental research and public health · 2022Article
- Adipose tissue measurement in clinical research for obesity, type 2 diabetes and NAFLD/NASH.Endocrinology, diabetes & metabolism · 2022Review
- Sarcopenia in rheumatic disorders: what the radiologist and rheumatologist should know.Skeletal radiology · 2022Review
- Optical ultrasound sensors for photoacoustic imaging: a narrative review.Quantitative imaging in medicine and surgery · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Dysregulation of the human's energy balance, mediated by non-performing endocrine organs (liver, skeletal muscle and adipose tissue, above all), can be related to human metabolic disorders characterized by an impaired body composition (BC), such as obesity and sarcopenia. While it is possible to monitor the BC and its variations at different levels, the tissue-organ composition studies have been proven to provide the most clinically applicable information. Ultrasonography (US), a fast, non-invasive, low-cost and widely available technique, holds great potential in the study of BC, as it can directly measure muscles, organs, visceral and subcutaneous fat tissue in different sections of the abdomen and body, overcoming some limits of anthropometric evaluation and other imaging techniques. Purpose of this review article is to explore the technical aspects and the applied methods of US examination to assess the potential clinical role of this technique in the context of BC characterization, investigating four pivotal topics [abdominal fat compartments, subcutaneous adipose tissue (SAT), skeletal muscle, liver].
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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 Socratic graph.