Evidence map›Paper›PMID 34687326›Full record

ReviewAbdominal radiology (New York)2022

Sarcopenia: imaging assessment and clinical application.

Vito Chianca, Domenico Albano, Carmelo Messina, Salvatore Gitto, Gaetano Ruffo, Salvatore Guarino, Filippo Del Grande, Luca Maria Sconfienza

2 registry-linked trialsOpen access · hybridAbstract readReview
In one paragraph

Review in Abdominal radiology (New York), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 127 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
127citing papers in PubMed, 3 pooled it
14.6field-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.

NCT05888688 recruitingnot on this mapstarted 2023, after this paper: background citation

The Imaging Assessment of Sarcopenia Across the Heart Failure Spectrum

Typeobservational_patient_registrySponsorUniversity of LeicesterRan2023 to 2026Enrolled80ConditionsHeart Failure, Sarcopenia, Heart Failure With Reduced Ejection Fraction, Heart Failure With Preserved Ejection Fraction
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

127 citing papers in PubMed, 3 syntheses or guidelines pooled it, 188 citations in OpenAlex.

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  6. CT-defined sarcopenia as a predictor of early mortality following hip fracture: a retrospective cohort study.European journal of orthopaedic surgery & traumatology : orthopedie traumatologie · 2026
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  8. Dorsal spinal instrumentation in multiple myeloma: postoperative acute kidney injury is associated with mortality, morbidity, and deterioration of bone and muscle status.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2026
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67 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

8 authors at 3 institutions in 1 country.

Vito ChiancaClinica di Radiologia EOC IIMSI, Lugano, Switzerland.ORCID http://orcid.org/0000-0002-2279-5559
Domenico AlbanoIRCCS Istituto Ortopedico Galeazzi, Milano, Italy.ORCID http://orcid.org/0000-0001-7989-9861
Carmelo MessinaIRCCS Istituto Ortopedico Galeazzi, Milano, Italy.ORCID http://orcid.org/0000-0001-7518-5773
Salvatore GittoDipartimento di Scienze Biomediche per la Salute, Università degli Studi di Milano, Milano, Italy.ORCID http://orcid.org/0000-0002-3623-7822
Gaetano RuffoIRCCS Istituto Ortopedico Galeazzi, Milano, Italy.ORCID http://orcid.org/0000-0002-0760-8946
Salvatore GuarinoIRCCS Multimedica, Milano, Italy.ORCID http://orcid.org/0000-0002-7668-3042
Filippo Del GrandeClinica di Radiologia EOC IIMSI, Lugano, Switzerland.ORCID http://orcid.org/0000-0003-1106-5830
Luca Maria SconfienzaIRCCS Istituto Ortopedico Galeazzi, Milano, Italy. io@lucasconfienza.it.ORCID http://orcid.org/0000-0003-0759-8431
Istituto Ortopedico Galeazzi · ITUniversity of Milan · ITMultiMedica · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sarcopenia is a progressive, generalized skeletal muscle disorder characterized by reduction of muscle mass and strength. It is associated with increased adverse outcomes including falls, fractures, physical disability, and mortality, particularly, in elderly patients. Nowadays, sarcopenia has become a specific imaging biomarker able to predict clinical outcomes of patients. Muscle fibre reduction has shown to be an unfavourable pre-operative predictive factor in patients with cancer, and is associated with worse clinical outcomes in terms of postoperative complications, morbidity, mortality, and lower tolerance of chemoradiation therapy. Several imaging modalities, including dual-energy X-ray absorptiometry, CT, MRI, and US can be used to estimate muscle mass and quality to reach the diagnosis of sarcopenia. This article reviews the clinical implications of sarcopenia, how this condition can be assessed through different imaging modalities, and future perspectives of imaging of sarcopenia.

Indexed as

SarcopeniaAbsorptiometry, PhotonAgedBody CompositionHumansMagnetic Resonance ImagingMuscle, SkeletalBody compositionImagingMuscleSarcopenia

Identifiers

PMID34687326
PMCPMC8536908
OpenAlexW3207886979

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.