Evidence map›Paper›PMID 38549182›Full record

ArticleUnited European gastroenterology journal2024

Ultrasound muscle assessment for sarcopenia detection in inflammatory bowel disease: A prospective study.

Giacomo Mulinacci, Lorena Pirola, Davide Gandola, Davide Ippolito, Chiara Viganò, Alice Laffusa, Camilla Gallo, Pietro Invernizzi, Silvio Danese, Sara Massironi

Open access · hybridAbstract read
In one paragraph

Article in United European gastroenterology journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
6.5field-weighted citation impact, top 3% of its field
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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
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

10 authors at 2 institutions in 1 country.

Giacomo MulinacciDivision of Gastroenterology, Fondazione IRCCS San Gerardo dei Tintori, Monza, Italy.ORCID 0000-0002-9398-893X
Lorena PirolaDivision of Gastroenterology, Fondazione IRCCS San Gerardo dei Tintori, Monza, Italy.
Davide GandolaDepartment of Medicine and Surgery, University of Milano Bicocca, Milan, Italy.
Davide IppolitoDepartment of Medicine and Surgery, University of Milano Bicocca, Milan, Italy.
Chiara ViganòDivision of Gastroenterology, Fondazione IRCCS San Gerardo dei Tintori, Monza, Italy.
Alice LaffusaDivision of Gastroenterology, Fondazione IRCCS San Gerardo dei Tintori, Monza, Italy.ORCID 0000-0001-8313-612X
Camilla GalloDivision of Gastroenterology, Fondazione IRCCS San Gerardo dei Tintori, Monza, Italy.
Pietro InvernizziDivision of Gastroenterology, Fondazione IRCCS San Gerardo dei Tintori, Monza, Italy.
Silvio DaneseGastroenterology and Endoscopy, IRCCS San Raffaele Hospital, Milan, Italy.
Sara MassironiDivision of Gastroenterology, Fondazione IRCCS San Gerardo dei Tintori, Monza, Italy.ORCID 0000-0003-3214-8192
Azienda Ospedaliera San Gerardo · ITVita-Salute San Raffaele University · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSarcopenia is prevalent in patients with inflammatory bowel disease (IBD) and impacts surgical and therapeutic outcomes; thus, effective diagnostic tools are needed to assess muscle mass and function in this population.

methods153 consecutive patients were included, 100 in the training cohort and 53 in the study cohort. Three superficial muscles (rectus femoris = RF, rectus abdominis = RA, and biceps brachii = BB) were selected for the detection of sarcopenia using muscle ultrasound (US). The training cohort consisted of consecutive patients with or without IBD and was used to evaluate the feasibility and inter- and intra-observer variability of the US measurement. The study cohort consisted of only IBD patients and served to test US diagnostic accuracy. In the latter, muscle US, bioelectrical impedance analysis (BIA), and magnetic resonance imaging (MRI) were used to measure muscle parameters.

resultsSarcopenia prevalence in IBD patients was 50%. Muscle US showed excellent inter-rater and intra-rater reliability (ICC >0.95) and a good diagnostic accuracy in detecting sarcopenia compared to BIA with area under the receiver operating characteristic curve (AUROC) values of 80% and 85% for RA and BB thickness, respectively. Moreover, an Ultrasound Muscle Index (USMI) was defined as the sum of the RA, BB, and RF thickness divided by the square of the patient's height, resulting in an AUROC of 81%. Muscle thresholds for sarcopenia were detected, with RA and USMI values correlated with the highest positive (84.3%) and negative (99%) predictive values, respectively. Additionally, the agreement between the US and MRI measurements of RA was excellent (ICC 0.96).

conclusionsThe findings of this study emphasize the potential of muscle US as a reliable diagnostic tool for assessing sarcopenia in IBD patients. This research has significant implications for disease management in IBD patients and underscores the need for further investigations to validate these findings in larger cohorts.

Indexed as

Electric ImpedanceInflammatory Bowel DiseasesSarcopeniaUltrasonographyAdultAgedFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedMuscle, SkeletalObserver VariationPrevalenceProspective StudiesRectus Abdominisbioelectrical impedance analysisCrohn's diseasediagnostic toolsdisease activitymagnetic resonance imagingmalnutritionulcerative colitisultrasound muscle indexUSMI

Identifiers

PMID38549182
PMCPMC11176911
OpenAlexW4393314271

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.