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Predictive ability of the start back tool: an ancillary analysis of a low back pain trial from Danish general practice

Overview of attention for article published in BMC Musculoskeletal Disorders, August 2017
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Title
Predictive ability of the start back tool: an ancillary analysis of a low back pain trial from Danish general practice
Published in
BMC Musculoskeletal Disorders, August 2017
DOI 10.1186/s12891-017-1727-6
Pubmed ID
Authors

Allan Riis, Michael Skovdal Rathleff, Cathrine Elgaard Jensen, Martin Bach Jensen

Abstract

Low back pain (LBP) is a common cause of contact with the primary healthcare sector. In some patients, symptoms quickly resolve, but others develop long-lasting pain and disability. To improve the care pathway for patients with LBP, the STarT Back Tool (STarT) questionnaire has been developed. It helps initial decision-making by subgrouping patients on the basis of their prognosis and helps to target treatment according to prognosis. An assumption behind the use of STarT is the ability to predict functional improvement. This assumption has never been tested in a population that consists exclusively of patients enrolled when consulting a Danish general practitioner for LBP. The aim of this study was to investigate STarT's ability to predict a 30% improvement in the Roland Morris Disability Questionnaire (RMDQ) score. This was an ancillary analysis using data from a Danish guideline implementation study (registered at ClinicalTrials.gov NCT01699256). An inclusion criterion was age 18 to 65 years of age. Exclusion criteria were pregnancy, fractures, and signs of underlying pathology. Patient-reported STarT score and the Roland Morris Disability Questionnaire were administered at baseline and again after 4, 8, and 52 weeks. Between January 2013 and July 2014, 475 patients from the original trial participated with questionnaires. From this subpopulation, 441 (92.8%) patients provided information regarding STarT. Baseline and eight-week RMDQ data were available for 304 (64.0%) patients. After 8 weeks, 61 (65.6%) in the low-risk group, 67 (54.9%) in the medium-risk group, and 33 (37.1%) in the high-risk group had achieved a 30% improvement in the RMDQ score. After 8 weeks, high-risk patients were at 61% (95% CI: 20-125%, P < 0.001) higher risk of not achieving a 30% improvement in the RMDQ score compared with patients in either the low-risk group or the medium-risk group. STarT was predictive for functional improvement in patients from general practice with LBP. ClinicalTrials.gov NCT01699256 , Nov 29, 2016 (registered retrospectively).

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 76 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 17 22%
Researcher 9 12%
Student > Ph. D. Student 7 9%
Student > Bachelor 6 8%
Other 5 7%
Other 13 17%
Unknown 19 25%
Readers by discipline Count As %
Medicine and Dentistry 21 28%
Nursing and Health Professions 19 25%
Sports and Recreations 4 5%
Psychology 2 3%
Neuroscience 2 3%
Other 5 7%
Unknown 23 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 26 August 2017.
All research outputs
#14,299,546
of 22,999,744 outputs
Outputs from BMC Musculoskeletal Disorders
#2,140
of 4,091 outputs
Outputs of similar age
#175,035
of 317,355 outputs
Outputs of similar age from BMC Musculoskeletal Disorders
#45
of 70 outputs
Altmetric has tracked 22,999,744 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,091 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. This one is in the 47th percentile – i.e., 47% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 317,355 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 70 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.