Evidence map›Paper›PMID 33559641›Full record

ReviewActa bio-medica : Atenei Parmensis2020

Distrectual osteosarcopenia in limb disuse: case report and mini literature review.

Gabriele Filoni, Michele Di Lonardo, Giovanni Mandile, Lorenzo Andreani, Francesca Falossi, Alessandro Franchi, Vanna Bottai, Rodolfo Capanna

Abstract readCase ReportsReview
In one paragraph

Review in Acta bio-medica : Atenei Parmensis, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Gabriele Filoni2nd Orthopedic and Traumatologic Clinic, University of Pisa, Pisa, Italy . g.filoni@gmail.com.
Michele Di Lonardo2nd Orthopedic and Traumatologic Clinic, University of Pisa, Pisa, Italy . michele.dilonardo92@gmail.com.
Giovanni Mandile2nd Orthopedic and Traumatologic Clinic, University of Pisa, Pisa, Italy . gio.mandile@tim.it.
Lorenzo Andreani2nd Orthopedic and Traumatologic Clinic, University of Pisa, Pisa, Italy. lorenzo.andreani.unipi@gmail.com.
Francesca FalossiOrthopedic Rehabilitation Department Section, University of Pisa, Pisa, Italy. france.falossi@gmail.com.
Alessandro FranchiDivision of Surgical, Molecular and Ultrastructural Pathology, University of Pisa, Pisa, Italy. alessandro.franchi@unipi.it.
Vanna Bottai2nd Orthopedic and Traumatologic Clinic, University of Pisa, Pisa, Italy. vannabottai@yahoo.it.
Rodolfo Capanna2nd Orthopedic and Traumatologic Clinic, University of Pisa, Pisa, Italy . rodolfo.capanna@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Osteosarcopenia is a new concept of association of osteoporosis and sarcopenia. Both of these pathologies are more frequent in old people and general affects all the skeleton with increased risk of falls and fractures, loss of global function, fragility, and mortality, but also surgical failures. The coexistence of these condition derives from a close relationship, not only anatomical, between bone and muscle tissues. Sometimes these pathological conditions can involve only a skeleton segment, due to local disuse, causing a district form of sarcopenia. In this clinical case, Authors describes a case of isolated lower limb osteosarcopenia in a young non-osteoporotic patient, due to a prolonged limb disuse, complicated by surgical treatment failure for previous pathology, diagnosed by clinical, laboratory, instrumental and histopathological exams.

Indexed as

Fractures, BoneOsteoporosisSarcopeniaAccidental FallsBone and BonesHumans

Identifiers

PMID33559641
PMCPMC7944706

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.