Evidence map›Paper›PMID 41669616›Full record

ArticleFrontiers in rehabilitation sciences2025

Pain characterization in osteosarcopenia: an exploratory study.

Antimo Moretti, Marco Paoletta, Francesco P Fabrazzo, Sara Liguori, Mariangela Airoma, Michele Tardugno, Francesca Gimigliano, Giovanni Iolascon

Abstract read
In one paragraph

Article in Frontiers in rehabilitation sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Antimo MorettiDipartimento Multidisciplinare di Specialità Medico-Chirurgiche e Odontoiatriche, Università Della Campania Luigi Vanvitelli, Naples, Italy.
Marco PaolettaDepartment of Mental and Physical Health and Preventive Medicine, University of Campania Luigi Vanvitelli, Naples, Italy.
Francesco P FabrazzoDipartimento Multidisciplinare di Specialità Medico-Chirurgiche e Odontoiatriche, Università Della Campania Luigi Vanvitelli, Naples, Italy.
Sara LiguoriDipartimento Multidisciplinare di Specialità Medico-Chirurgiche e Odontoiatriche, Università Della Campania Luigi Vanvitelli, Naples, Italy.
Mariangela AiromaDepartment of Mental and Physical Health and Preventive Medicine, University of Campania Luigi Vanvitelli, Naples, Italy.
Michele TardugnoDepartment of Mental and Physical Health and Preventive Medicine, University of Campania Luigi Vanvitelli, Naples, Italy.
Francesca GimiglianoDepartment of Mental and Physical Health and Preventive Medicine, University of Campania Luigi Vanvitelli, Naples, Italy.
Giovanni IolasconDipartimento Multidisciplinare di Specialità Medico-Chirurgiche e Odontoiatriche, Università Della Campania Luigi Vanvitelli, Naples, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To characterize pain in terms of frequency, intensity, and correlation with nutritional status, muscle mass, and physical performance in osteosarcopenic patients. Method: We included patients affected by osteosarcopenia (OSP), according to WHO criteria and EWGSOP2 guidelines. Assessments included Bone Mineral Density, Trabecular Bone Score and Appendicular Lean Mass, Handgrip Strength, Short Physical Performance Battery, and SARC-F. Pain was investigated by the Brief Pain Inventory, quality of life by the EuroQol-5D-3L, the nutritional status by the Mini Nutritional Assessment-Short Form, and the level of physical activity by the International Physical Activity Questionnaire. Results: We included 42 OSP patients with a mean age of 69.3 ± 11.3 years. Pain frequency was 78.6%. Pain severity was inversely correlated with lean mass, nutritional status, and physical performance. Pain interference correlated with impaired motor skills, balance and gait speed, and poor quality of life. Conclusion: Pain is highly frequent and moderately correlated in individuals with OSP highlighting the need for integrated interventions focused on muscle health to improve quality of life and reduce fall and fracture risks.

Indexed as

osteoporosisosteosarcopeniaquality of liferehabilitationsarcopenia

Identifiers

PMID41669616
PMCPMC12883769

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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.