Evidence map›Paper›PMID 35055784›Full record

ArticleInternational journal of environmental research and public health2022

Kinesiological Treatment of Early Spine Osteoarthritis in a Motorcyclist.

Federico Roggio, Bruno Trovato, Caterina Ledda, Venerando Rapisarda, Giuseppe Musumeci

Open access · goldAbstract readCase Reports
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 32% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Review
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

5 authors at 1 institution in 2 countries.

Federico RoggioDepartment of Biomedical and Biotechnological Sciences, Human, Histology and Movement Science Section, University of Catania, Via S. Sofia 87, 95123 Catania, Italy.ORCID 0000-0001-7655-4489
Bruno TrovatoDepartment of Biomedical and Biotechnological Sciences, Human, Histology and Movement Science Section, University of Catania, Via S. Sofia 87, 95123 Catania, Italy.ORCID 0000-0002-7483-8944
Caterina LeddaDepartment of Clinical and Experimental Medicine, Occupational Medicine, University of Catania, Via Santa Sofia 78, 95123 Catania, Italy.ORCID 0000-0003-0739-8798
Venerando RapisardaDepartment of Clinical and Experimental Medicine, Occupational Medicine, University of Catania, Via Santa Sofia 78, 95123 Catania, Italy.ORCID 0000-0002-3482-1136
Giuseppe MusumeciDepartment of Biomedical and Biotechnological Sciences, Human, Histology and Movement Science Section, University of Catania, Via S. Sofia 87, 95123 Catania, Italy.ORCID 0000-0002-8260-8890
University of Catania · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This case report speculates that the prolonged vibrations from enduro off-road sports are deleterious to the spine. The results of this case report may also aid sports physicians in better understanding this complex and relatively unknown phenomenon. No published data are present in the current literature that demonstrate the correlation between early spine osteoarthritis from enduro motorcycle overuse and the long-term management effects of a non-invasive kinesiological approach to reduce pain and inflammation and improve spine mobility and muscle strength.

Indexed as

Osteoarthritis, SpineSportsHumansMotorcyclesPainVibrationenduro motorcyclistmuscle strengthoverusepainpreventionspine mobilityspine osteoarthritis

Identifiers

PMID35055784
PMCPMC8776179
OpenAlexW4205100191

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.