Literature DB >> 19136234

Systematic reviews of low back pain prognosis had variable methods and results: guidance for future prognosis reviews.

J A Hayden1, R Chou, S Hogg-Johnson, C Bombardier.   

Abstract

OBJECTIVE: Systematic reviews of prognostic factors for low back pain vary substantially in design and conduct. The objective of this study was to identify, describe, and synthesize systematic reviews of low back pain prognosis, and explore the potential impact of review methods on the conclusions. STUDY DESIGN AND
SETTING: We identified 17 low back pain prognosis reviews published between 2000 and 2006. One reviewer extracted and a second checked review characteristics and results. Two reviewers independently assessed review quality.
RESULTS: Review questions and selection criteria varied; there were both focused and broad reviews of prognostic factors. A quarter of reviews did not clearly define search strategies. The number of potential citations identified ranged from 15 to 4,458 and the number of included prognosis studies ranged from 3 to 32 (of 162 distinct citations included across reviews). Seventy percent of reviews assessed quality of included studies, but assessed only a median of four of six potential biases. All reviews reported associations based on statistical significance; they used various strategies for syntheses. Only a small number of important prognostic factors were consistently reported: older age, poor general health, increased psychological or psychosocial stress, poor relations with colleagues, physically heavy work, worse baseline functional disability, sciatica, and the presence of compensation. We found discrepancies across reviews: differences in some selection criteria influenced studies included, and various approaches to data interpretation influenced review conclusions about evidence for specific prognostic factors.
CONCLUSION: There is an immediate need for methodological work in the area of prognosis systematic reviews. Because of methodological shortcomings in the primary and review literature, there remains uncertainty about reliability of conclusions regarding prognostic factors for low back pain.

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Mesh:

Year:  2009        PMID: 19136234     DOI: 10.1016/j.jclinepi.2008.09.004

Source DB:  PubMed          Journal:  J Clin Epidemiol        ISSN: 0895-4356            Impact factor:   6.437


  78 in total

Review 1.  [Patients with low back pain. Psychosocial work-related factors and return to work - a literature review].

Authors:  M Bethge
Journal:  Orthopade       Date:  2010-09       Impact factor: 1.087

2.  Individual recovery expectations and prognosis of outcomes in non-specific low back pain: prognostic factor review.

Authors:  Jill A Hayden; Maria N Wilson; Richard D Riley; Ross Iles; Tamar Pincus; Rachel Ogilvie
Journal:  Cochrane Database Syst Rev       Date:  2019-11-25

Review 3.  Comparison of risk factors predicting return to work between patients with subacute and chronic non-specific low back pain: systematic review.

Authors:  C A M Heitz; R Hilfiker; L M Bachmann; H Joronen; T Lorenz; D Uebelhart; A Klipstein; Florian Brunner
Journal:  Eur Spine J       Date:  2009-06-30       Impact factor: 3.134

4.  Predictors of Improvements in Pain Intensity in a National Cohort of Older Veterans With Chronic Pain.

Authors:  Steven K Dobscha; Travis I Lovejoy; Benjamin J Morasco; Anne E Kovas; Dawn M Peters; Kyle Hart; J Lucas Williams; Bentson H McFarland
Journal:  J Pain       Date:  2016-04-04       Impact factor: 5.820

5.  Can demographic and anthropometric characteristics predict clinical improvement in patients with chronic non-specific low back pain?

Authors:  Indiara Soares Oliveira; Leonardo Oliveira Pena Costa; Alessandra Narciso Garcia; Gisela Cristiane Miyamoto; Cristina Maria Nunes Cabral; Lucíola da Cunha Menezes Costa
Journal:  Braz J Phys Ther       Date:  2018-06-28       Impact factor: 3.377

6.  Does weather affect daily pain intensity levels in patients with acute low back pain? A prospective cohort study.

Authors:  Vicky Duong; Chris G Maher; Daniel Steffens; Qiang Li; Mark J Hancock
Journal:  Rheumatol Int       Date:  2016-01-12       Impact factor: 2.631

7.  Real-time force feedback during flexion-distraction procedure for low back pain: A pilot study.

Authors:  Maruti Ram Gudavalli; James M Cox
Journal:  J Can Chiropr Assoc       Date:  2014-06

8.  Evaluating physical therapy students' knowledge of and adherence to the ambassador low back pain guideline.

Authors:  Wesley R Collinge; Douglas P Gross; Geoff P Bostick; Greg S Cutforth; Geert M Rutten; Claude Maroun; Rob A B Oostendorp
Journal:  Physiother Can       Date:  2013       Impact factor: 1.037

Review 9.  Evaluating the quality of research into a single prognostic biomarker: a systematic review and meta-analysis of 83 studies of C-reactive protein in stable coronary artery disease.

Authors:  Harry Hemingway; Peter Philipson; Ruoling Chen; Natalie K Fitzpatrick; Jacqueline Damant; Martin Shipley; Keith R Abrams; Santiago Moreno; Kate S L McAllister; Stephen Palmer; Juan Carlos Kaski; Adam D Timmis; Aroon D Hingorani
Journal:  PLoS Med       Date:  2010-06-01       Impact factor: 11.069

10.  The economic burden of guideline-recommended first line care for acute low back pain.

Authors:  Chung-Wei Christine Lin; Qiang Li; Christopher M Williams; Christopher G Maher; Richard O Day; Mark J Hancock; Jane Latimer; Andrew J Mclachlan; Stephen Jan
Journal:  Eur Spine J       Date:  2016-09-21       Impact factor: 3.134

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