Literature DB >> 23932099

Patient characteristics in low back pain subgroups based on an existing classification system. A descriptive cohort study in chiropractic practice.

Heidi Eirikstoft1, Alice Kongsted2.   

Abstract

Sub-grouping of low back pain (LBP) is believed to improve prediction of prognosis and treatment effects. The objectives of this study were: (1) to examine whether chiropractic patients could be sub-grouped according to an existing pathoanatomically-based classification system, (2) to describe patient characteristics within each subgroup, and (3) to determine the proportion of patients in whom clinicians considered the classification to be unchanged after approximately 10 days. A cohort of 923 LBP patients was included during their first consultation. Patients completed an extensive questionnaire and were examined according to a standardised protocol. Based on the clinical examination, patients were classified into diagnostic subgroups. After approximately 10 days, chiropractors reported whether they considered the subgroup had changed. The most frequent subgroups were reducible and partly reducible disc syndromes followed by facet joint pain, dysfunction and sacroiliac (SI)-joint pain. Classification was inconclusive in 5% of the patients. Differences in pain, activity limitation, and psychological factors were small across subgroups. Within 10 days, 82% were reported to belong to the same subgroup as at the first visit. In conclusion, LBP patients could be classified according to a standardised protocol, and chiropractors considered most patient classifications to be unchanged within 10 days. Differences in patient characteristics between subgroups were very small, and the clinical relevance of the classification system should be investigated by testing its value as a prognostic factor or a treatment effect modifier. It is recommended that this classification system be combined with psychological and social factors if it is to be useful.
Copyright © 2013 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Classification; Cohort studies; Low back pain; Primary health care

Mesh:

Year:  2013        PMID: 23932099     DOI: 10.1016/j.math.2013.07.007

Source DB:  PubMed          Journal:  Man Ther        ISSN: 1356-689X


  10 in total

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2.  A comparison of three clustering methods for finding subgroups in MRI, SMS or clinical data: SPSS TwoStep Cluster analysis, Latent Gold and SNOB.

Authors:  Peter Kent; Rikke K Jensen; Alice Kongsted
Journal:  BMC Med Res Methodol       Date:  2014-10-02       Impact factor: 4.615

Review 3.  The chiropractic profession: a scoping review of utilization rates, reasons for seeking care, patient profiles, and care provided.

Authors:  Peter J H Beliveau; Jessica J Wong; Deborah A Sutton; Nir Ben Simon; André E Bussières; Silvano A Mior; Simon D French
Journal:  Chiropr Man Therap       Date:  2017-11-22

4.  Latent class analysis derived subgroups of low back pain patients - do they have prognostic capacity?

Authors:  Anne Molgaard Nielsen; Lise Hestbaek; Werner Vach; Peter Kent; Alice Kongsted
Journal:  BMC Musculoskelet Disord       Date:  2017-08-09       Impact factor: 2.362

Review 5.  Clinical classification in low back pain: best-evidence diagnostic rules based on systematic reviews.

Authors:  Tom Petersen; Mark Laslett; Carsten Juhl
Journal:  BMC Musculoskelet Disord       Date:  2017-05-12       Impact factor: 2.362

6.  Leg pain location and neurological signs relate to outcomes in primary care patients with low back pain.

Authors:  Lisbeth Hartvigsen; Lise Hestbaek; Charlotte Lebouef-Yde; Werner Vach; Alice Kongsted
Journal:  BMC Musculoskelet Disord       Date:  2017-03-31       Impact factor: 2.362

7.  Identifying subgroups of patients using latent class analysis: should we use a single-stage or a two-stage approach? A methodological study using a cohort of patients with low back pain.

Authors:  Anne Molgaard Nielsen; Peter Kent; Lise Hestbaek; Werner Vach; Alice Kongsted
Journal:  BMC Musculoskelet Disord       Date:  2017-02-01       Impact factor: 2.362

8.  Brief screening questions for depression in chiropractic patients with low back pain: identification of potentially useful questions and test of their predictive capacity.

Authors:  Alice Kongsted; Benedicte Aambakk; Sanne Bossen; Lise Hestbaek
Journal:  Chiropr Man Therap       Date:  2014-01-17

9.  Using existing questionnaires in latent class analysis: should we use summary scores or single items as input? A methodological study using a cohort of patients with low back pain.

Authors:  Anne Molgaard Nielsen; Werner Vach; Peter Kent; Lise Hestbaek; Alice Kongsted
Journal:  Clin Epidemiol       Date:  2016-04-26       Impact factor: 4.790

10.  Low back pain patients in Sweden, Denmark and the UK share similar characteristics and outcomes: a cross-national comparison of prospective cohort studies.

Authors:  Alice Kongsted; Laura Davies; Iben Axen
Journal:  BMC Musculoskelet Disord       Date:  2015-11-26       Impact factor: 2.362

  10 in total

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