Back

Spinal mobilization characteristics: a scoping literature review of biomechanical parameters.

Gorrell, L. M.; Nyirö, L.; Pasquier, M.; Page, I.; Schweinhardt, P.; Heneghan, N. R.; Descarreaux, M.

2023-07-23 rehabilitation medicine and physical therapy
10.1101/2023.07.20.23292952 medRxiv
Show abstract

BackgroundSpinal mobilization (SMob) is often included in the conservative management of spinal pain conditions as a recommended and effective treatment. While some studies quantify the biomechanical (kinetic) parameters of SMob, interpretation of findings is difficult due to poor reporting of methodological details. The aim of this study was to synthesise the literature describing biomechanical parameters of manually applied SMob. MethodsThis study is reported in accordance with the Preferred Reporting Items for Scoping Reviews (PRISMA-ScR) statement. Databases were searched from inception to October 2022: MEDLINE (Ovid), Embase, CINAHL, ICL, PEDro and Cochrane Library. Data were extracted and reported descriptively for the following domains: general study characteristics, number of and characteristics of individuals who delivered/received SMob, region treated, equipment used and biomechanical parameters of SMob. ResultsOf 7,607 records identified, 36 (0.5%) were included in the analysis. Of these, SMob was delivered to the cervical spine in 13 (36.1%), the thoracic spine in 3 (8.3%) and the lumbopelvic spine in 18 (50.0%) studies. In 2 (5.6%) studies, spinal region was not specified. For SMob applied to all spinal regions, biomechanical parameters were: peak force (0-128N); duration (10-120s); frequency (0.1-4.5Hz); and force amplitude (1-102N). ConclusionsThis study reports considerable variability of the biomechanical parameters of SMob. In studies reporting biomechanical parameters, SMob was most frequently delivered to the lumbar and cervical spine of humans and most commonly peak force was reported. Future studies should focus on the detailed reporting of biomechanical parameters to facilitate the investigation of clinical dose-response effects.

Matching journals

The top 5 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.