Evidence map›Paper›PMID 38694226›Full record

ArticleFrontiers in nutrition2024

Body composition assessment with ultrasound muscle measurement: optimization through the use of semi-automated tools in colorectal cancer.

Fiorella Palmas, Fernanda Mucarzel, Marta Ricart, Amador Lluch, Alba Zabalegui, Jose Melian, Raul Guerra, Aitor Rodriguez, Nuria Roson, Andreea Ciudin and 1 more

Abstract read
In one paragraph

Article in Frontiers in nutrition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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

9 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

11 authors.

Fiorella PalmasEndocrinology and Nutrition Department, Hospital Universitari Vall D'Hebron, Barcelona, Spain.
Fernanda MucarzelEndocrinology and Nutrition Department, Hospital Universitari Vall D'Hebron, Barcelona, Spain.
Marta RicartEndocrinology and Nutrition Department, Hospital Universitari Vall D'Hebron, Barcelona, Spain.
Amador LluchEndocrinology and Nutrition Department, Hospital Universitari Vall D'Hebron, Barcelona, Spain.
Alba ZabaleguiEndocrinology and Nutrition Department, Hospital Universitari Vall D'Hebron, Barcelona, Spain.
Jose MelianARTIS Development, Las Palmasde Gran Canaria, Spain.
Raul GuerraARTIS Development, Las Palmasde Gran Canaria, Spain.
Aitor RodriguezDepartment of Radiology, Institut De Diagnòstic Per La Imatge (IDI), Hospital Universitari Vall d'Hebron, Barcelona, Spain.
Nuria RosonDepartment of Radiology, Institut De Diagnòstic Per La Imatge (IDI), Hospital Universitari Vall d'Hebron, Barcelona, Spain.
Andreea CiudinEndocrinology and Nutrition Department, Hospital Universitari Vall D'Hebron, Barcelona, Spain.
Rosa BurgosEndocrinology and Nutrition Department, Hospital Universitari Vall D'Hebron, Barcelona, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Colorectal cancer (CRC) is a disease with a high prevalence and major impact on global health. Body composition (BC) data are of great importance in the assessment of nutritional status. Ultrasound (US) is an emerging, accessible and non-invasive technique that could be an alternative when it is not feasible to perform computed tomography (CT). The aim of this study is to evaluate the correlation between CT, as a reference technique, and US of the rectus femoris (RF) as a "proof of concept," in a cohort of patients with CRC and assess the optimisation of results obtained by US when performed by our new semi-automated tool. A single-centre cross-sectional study including 174 patients diagnosed with CRC and undergoing surgery was carried out at the Vall d'Hebron Hospital. We found a strong correlation between CT and US of the RF area (

Indexed as

body compositioncolorectal cancercomputed tomographyrectus femorisultrasound

Identifiers

PMID38694226
PMCPMC11062347

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Registered trials

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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.