Literature DB >> 29356210

Clinical course and prognostic factors across different musculoskeletal pain sites: A secondary analysis of individual patient data from randomised clinical trials.

D J Green1, M Lewis1, G Mansell1, M Artus1, K S Dziedzic1, E M Hay1, N E Foster1, D A van der Windt1.   

Abstract

BACKGROUND: Previous research has identified similar prognostic factors in patients with musculoskeletal (MSK) conditions regardless of pain presentation, generating opportunities for management based on prognosis rather than specific pain presentation.
METHODS: Data from seven RCTs (2483 participants) evaluating a range of primary care interventions for different MSK pain conditions were used to investigate the course of symptoms and explore similarities and differences in predictors of outcome. The value of pain site for predicting changes in pain and function was investigated and compared with that of age, gender, social class, pain duration, widespread pain and level of anxiety/depression.
RESULTS: Over the initial three months of follow-up, changes in mean pain intensity reflected an improvement, with little change occurring after this period. Participants with knee pain due to osteoarthritis (OA) showed poorer long-term outcome (mean difference in pain reduction at 12 months -1.85, 95% CI -2.12 to -1.57, compared to low back pain). Increasing age, manual work, longer pain duration, widespread pain and increasing anxiety/depression scores were significantly associated with poorer outcome regardless of pain site. Testing of interactions showed some variation between pain sites, particularly for knee OA, where age, manual work and pain duration were most strongly associated with outcome.
CONCLUSIONS: Despite some differences in prognostic factors for trial participants with knee OA who were older and had more chronic conditions, similarity of outcome predictors across regional MSK pain sites provides evidence to support targeting of treatment based on prognostic factors rather than site of pain. SIGNIFICANCE: Individual patient data analysis of trials across different regional musculoskeletal pain sites was used to evaluate course and prognostic factors associated with pain and disability. Overall, similarity of outcome predictors across these different pain sites supports targeting of treatment based on prognostic factors rather than pain site alone.
© 2018 European Pain Federation - EFIC®.

Entities:  

Mesh:

Year:  2018        PMID: 29356210     DOI: 10.1002/ejp.1190

Source DB:  PubMed          Journal:  Eur J Pain        ISSN: 1090-3801            Impact factor:   3.931


  14 in total

1.  The impact of comorbid spinal pain in depression on work participation and clinical remission following brief or short psychotherapy. Secondary analysis of a randomized controlled trial with two-year follow-up.

Authors:  Marjon E A Wormgoor; Aage Indahl; Jens Egeland
Journal:  PLoS One       Date:  2022-08-22       Impact factor: 3.752

2.  The association between different outcome measures and prognostic factors in patients with neck pain: a cohort study.

Authors:  Birgitte Lawaetz Myhrvold; Alice Kongsted; Pernille Irgens; Hilde Stendal Robinson; Nina K Vøllestad
Journal:  BMC Musculoskelet Disord       Date:  2022-07-14       Impact factor: 2.562

3.  The healthcare buffet: preferences in the clinical decision-making process for patients with musculoskeletal pain.

Authors:  Joel E Bialosky; Josh A Cleland; Paul Mintken; Jason M Beneciuk; Mark D Bishop
Journal:  J Man Manip Ther       Date:  2021-10-17

4.  Recovery trajectories in common musculoskeletal complaints by diagnosis contra prognostic phenotypes.

Authors:  Lene Aasdahl; Fredrik Granviken; Ingebrigt Meisingset; Astrid Woodhouse; Kari Anne I Evensen; Ottar Vasseljen
Journal:  BMC Musculoskelet Disord       Date:  2021-05-19       Impact factor: 2.362

5.  Matching treatment options for risk sub-groups in musculoskeletal pain: a consensus groups study.

Authors:  Joanne Protheroe; Benjamin Saunders; Bernadette Bartlam; Kate M Dunn; Vince Cooper; Paul Campbell; Jonathan C Hill; Stephanie Tooth; Christian D Mallen; Elaine M Hay; Nadine E Foster
Journal:  BMC Musculoskelet Disord       Date:  2019-06-01       Impact factor: 2.362

6.  Associations between number of pain sites and sleep, sports participation, and quality of life: a cross-sectional survey of 1021 youth from the Midwestern United States.

Authors:  David M Bazett-Jones; Michael S Rathleff; Sinead Holden
Journal:  BMC Pediatr       Date:  2019-06-17       Impact factor: 2.125

7.  Low back pain precedes the development of new knee pain in the elderly population; a novel predictive score from a longitudinal cohort study.

Authors:  Hiromu Ito; Shinjiro Tominari; Yasuharu Tabara; Takeo Nakayama; Moritoshi Furu; Tomotoshi Kawata; Masayuki Azukizawa; Kazuya Setoh; Takahisa Kawaguchi; Fumihiko Matsuda; Shuichi Matsuda
Journal:  Arthritis Res Ther       Date:  2019-04-15       Impact factor: 5.156

8.  Derivation of a Risk Assessment Tool for Prediction of Long-Term Pain Intensity Reduction After Physical Therapy.

Authors:  Maggie E Horn; Steven Z George; Cai Li; Sheng Luo; Trevor A Lentz
Journal:  J Pain Res       Date:  2021-05-28       Impact factor: 3.133

9.  Socio-demographic, clinical and psychological predictors of healthcare utilization among patients with musculoskeletal disorders: a prospective cohort study.

Authors:  Cecilie Rud Budtz; Søren Mose; David Høyrup Christiansen
Journal:  BMC Health Serv Res       Date:  2020-03-23       Impact factor: 2.655

10.  Stratified primary care versus non-stratified care for musculoskeletal pain: qualitative findings from the STarT MSK feasibility and pilot cluster randomized controlled trial.

Authors:  Benjamin Saunders; Jonathan C Hill; Nadine E Foster; Vince Cooper; Joanne Protheroe; Adrian Chudyk; Carolyn Chew-Graham; Bernadette Bartlam
Journal:  BMC Fam Pract       Date:  2020-02-11       Impact factor: 2.497

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.