Evidence map›Paper›PMID 35041137›Full record

ReviewLa Radiologia medica2022

Sarcopenia: how to measure, when and why.

Alberto Stefano Tagliafico, Bianca Bignotti, Lorenzo Torri, Federica Rossi

Registry-linked trialOpen access · hybridAbstract readReview
In one paragraph

Review in La Radiologia medica, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06531200 (Building of Prognosis Model for Patients With Cirrhosis Based on Sarcopenia in Assessment With the Technology of Deep Learning), which is not on this map. Cited by 163 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
163citing papers in PubMed, 7 pooled it
28.2field-weighted citation impact, top 1% 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.

NCT06531200 not yet recruitingnot on this mapstarted 2024, after this paper: background citation

Building of Prognosis Model for Patients With Cirrhosis Based on Sarcopenia in Assessment With the Technology of Deep Learning

TypeobservationalSponsorPeking University People's HospitalRan2024 to 2025Enrolled1,000ConditionsCirrhosis, Liver, Sarcopenia
3 · Its place in the literature

Who cites it

163 citing papers in PubMed, 7 syntheses or guidelines pooled it, 249 citations in OpenAlex.

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103 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

4 authors at 2 institutions in 1 country.

Alberto Stefano TagliaficoDepartment of Health Sciences (DISSAL), University of Genoa, Genova, Italy. albertotagliafico@gmail.com.ORCID http://orcid.org/0000-0003-1736-0697
Bianca BignottiDepartment of Health Sciences (DISSAL), University of Genoa, Genova, Italy.
Lorenzo TorriDepartment of Surgery, University of Pisa, Pisa, Italy.
Federica RossiDepartment of Surgery, University of Pisa, Pisa, Italy.
University of Pisa · ITOspedale Policlinico San Martino · IT

Funding

Ministero della Salute Ricerca Corrente
6 · The paper itself

Abstract

Sarcopenia indicates a loss of skeletal muscle mass, a condition that leads to a decline in physical performance. In 2018, the European Working Group on Sarcopenia in Older People met to update the original definition of sarcopenia: New scientific and clinical insights were introduced to emphasize the importance of muscle strength loss as a prime indicator of probable sarcopenia. In addition, the skeletal muscle is not only the organ related to mobility, but it is recognized as a secondary secretory organ too, with endocrine functions influencing several systems and preserving health. In this perspective, radiology could have a major role in early detection of sarcopenia and guarantee improvement in its treatment in clinical practice. We present here an update of clinical knowledge about sarcopenia and advantages and limitations of radiological evaluation of sarcopenia focusing on major body composition imaging modalities such as dual-energy X-ray absorptiometry, CT, and MRI. In addition, we discuss controversial such as the lack of consensus or standardization, different measurement methods, and diagnostic radiological cutoff points. Sarcopenia evaluation with radiological methods could enhance the role of radiologist in performing studies with relevant impact on medical and social outcome, placing radiology at the pinnacle of quality in evidence-based practice with high-level studies.

Indexed as

SarcopeniaAbsorptiometry, PhotonAgedBody CompositionHumansMuscle, SkeletalPhysical Functional PerformanceComputed tomographyImagingMagnetic resonanceMuscle massRadiologySarcopeniaUltrasound

Identifiers

PMID35041137
PMCPMC8960583
OpenAlexW4205211764

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.