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Conservative management of mechanical neck pain: systematic overview and meta-analysis
Open accessAbstract
Objective : To review the efficacy of conservative management of mechanical neck disorders. Methods : Published and unpublished reports were identified through computerised and manual searches of bibliographical databases, reference lists from primary articles, and letters to authors, agencies, foundations, and content experts. Selection criteria were applied to blinded articles, and selected articles were scored for methodological quality. Effect sizes were calculated from raw pain scores and combined by using meta-analytic techniques when appropriate. Results : Twenty four randomised clinical trials met the selection criteria and were categorised by type of intervention: nine used manual treatments; 12 physical medicine methods; four drug treatment; and three education of patients (four trials investigated more than one form of intervention). The intervention strategies were summarised separately. Pooling of studies was considered only within each category. Five of the nine trials that used manual treatment in combination with other treatments were combined. One to four weeks after treatment the pooled effect size was −0.6 (95% confidence interval −0.9 to −0.4), equivalent to an improvement of 16 (6.9 to 23.1) points on a 100 point scale. Sensitivity analyses on study quality, chronicity, and data imputation did not alter this estimate. For other interventions, studies could not be combined to arrive at pooled estimates of effect. Conclusions : There is little information available from clinical trials to support many of the treatments for mechanical neck pain. In general, conservative interventions have not been studied in enough detail to assess efficacy or effectiveness adequately. Key messages: Many treatments are available and accepted as standard forms of practice Systematic literature searching finds a limited number of clinical trials There is early evidence to support the use of manual treatments in combination with other treatments for short term pain relief, but in general, conservative interventions have not been studied in enough detail to assess efficacy or effec- tiveness adequately Further clinical trials are needed to determine optimal treatment approaches
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Cited by
Exercises for mechanical neck disorders
Gross, A., Kay, T. M., Paquin, J.-P., Blanchette, S., Lalonde, P., Christie, T., Dupont, G., Graham, N., Burnie, S. J., Gelley, G., et al. (2015) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd004250.pub5 · Cited by 613
Self-citationIrnich, D., Cummings, M., Behrens, N., Molzen, H., König, A., Gleditsch, J., Krauss, M., Natalis, M., Senn, E., Beyer, A., et al. (2001) · BMJ · doi:10.1136/bmj.322.7302.1574 · Cited by 313
Bertozzi, L., Gardenghi, I., Turoni, F., Villafañe, J. H., Capra, F., Guccione, A. A., & Pillastrini, P. (2013) · Physical Therapy · doi:10.2522/ptj.20120412 · Cited by 184
Randomized Trial of Therapeutic Massage for Chronic Neck Pain
Sherman, K. J., Cherkin, D. C., Hawkes, R. J., Miglioretti, D. L., & Deyo, R. A. (2009) · The Clinical Journal of Pain · doi:10.1097/ajp.0b013e31818b7912 · Cited by 126
Massage for Mechanical Neck Disorders: A Systematic Review
Ezzo, J., Haraldsson, B. G., Gross, A. R., Myers, C. D., Morien, A., Goldsmith, C. H., Bronfort, G., & Peloso, P. M. (2007) · Spine · doi:10.1097/01.brs.0000254099.07294.21 · Cited by 97
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Metadata
- Authors
- Aker, P. D., Gross, A. R., Goldsmith, C. H., & Peloso, P.
- Venue
- BMJ
- Publisher
- BMJ
- Published
- 1996-11-23
- Volume
- 313
- Issue
- 7068
- Pages
- 1291-1296
- ISSN
- 0007-1447 (ISSN-L)
- 0959-8138
- 1468-5833
- OpenAlex
- W2087312159
- Cited by
- 335
- References
- 0
- FWCI
- 4.80
- Type
- journal article
- Language
- en
- Open access
- green
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- Aker, P. D., Gross, A. R., Goldsmith, C. H., & Peloso, P. (1996). Conservative management of mechanical neck pain: systematic overview and meta-analysis. BMJ. https://doi.org/10.1136/bmj.313.7068.1291
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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