Literature DB >> 19465372

A guide to interpretation of studies investigating subgroups of responders to physical therapy interventions.

Mark Hancock1, Robert D Herbert, Christopher G Maher.   

Abstract

Many researchers and clinicians believe the effectiveness of existing physical therapy interventions can be improved by targeting the provision of specific interventions at patients who respond best to that treatment. Although this approach has the potential to improve outcomes for some patients, it needs to be implemented carefully because some methods used to identify subgroups can produce biased or misleading results. The aim of this article is to assist readers in assessing the validity and generalizability of studies designed to identify subgroups of responders to physical therapy interventions. The key messages are that subgroups should be identified using high-quality randomized controlled trials, the investigation should be limited to a relatively small number of potential subgroups for which there is a plausible rationale, subgroup effects should be investigated by formally analyzing statistical interactions, and findings of subgroups should be subject to external validation.

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Year:  2009        PMID: 19465372     DOI: 10.2522/ptj.20080351

Source DB:  PubMed          Journal:  Phys Ther        ISSN: 0031-9023


  33 in total

1.  Using stop & go to get going!

Authors:  Sean Collins
Journal:  Cardiopulm Phys Ther J       Date:  2010-09

2.  Thoracic manual therapy in the management of non-specific shoulder pain: a systematic review.

Authors:  Aimie L Peek; Caroline Miller; Nicola R Heneghan
Journal:  J Man Manip Ther       Date:  2015-09

3.  Clinimetrics corner: choosing appropriate study designs for particular questions about treatment subgroups.

Authors:  Peter Kent; Mark Hancock; Ditte H D Petersen; Hanne L Mjøsund
Journal:  J Man Manip Ther       Date:  2010-09

Review 4.  Does targeting manual therapy and/or exercise improve patient outcomes in nonspecific low back pain? A systematic review.

Authors:  Peter Kent; Hanne L Mjøsund; Ditte H D Petersen
Journal:  BMC Med       Date:  2010-04-08       Impact factor: 8.775

5.  The Nordic back pain subpopulation program: can low back pain patterns be predicted from the first consultation with a chiropractor? A longitudinal pilot study.

Authors:  Alice Kongsted; Charlotte Leboeuf-Yde
Journal:  Chiropr Osteopat       Date:  2010-04-29

6.  A randomized clinical trial of the effectiveness of mechanical traction for sub-groups of patients with low back pain: study methods and rationale.

Authors:  Julie M Fritz; Anne Thackeray; John D Childs; Gerard P Brennan
Journal:  BMC Musculoskelet Disord       Date:  2010-04-30       Impact factor: 2.362

7.  Research methods for subgrouping low back pain.

Authors:  Peter Kent; Jennifer L Keating; Charlotte Leboeuf-Yde
Journal:  BMC Med Res Methodol       Date:  2010-07-03       Impact factor: 4.615

8.  Predictors of shoulder pain and disability index (SPADI) and work status after 1 year in patients with subacromial shoulder pain.

Authors:  Kaia Engebretsen; Margreth Grotle; Erik Bautz-Holter; Ole Marius Ekeberg; Jens Ivar Brox
Journal:  BMC Musculoskelet Disord       Date:  2010-09-23       Impact factor: 2.362

Review 9.  Do MRI findings identify patients with low back pain or sciatica who respond better to particular interventions? A systematic review.

Authors:  Daniel Steffens; Mark J Hancock; Leani S M Pereira; Peter M Kent; Jane Latimer; Chris G Maher
Journal:  Eur Spine J       Date:  2015-09-02       Impact factor: 3.134

10.  Effectiveness of mechanical diagnosis and therapy in patients with back pain who meet a clinical prediction rule for spinal manipulation.

Authors:  Ron Schenk; Carol Dionne; Corey Simon; Robert Johnson
Journal:  J Man Manip Ther       Date:  2012-02
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