Clinical prediction rule to identify low back pain patients most likely to

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Clinical prediction rule to identify low back pain patients most likely to benefit from spinal manipulation

This clinical prediction rule concerns patiënts with low back pain. Patients that meet at least 4 of the 5 criteria are most likely to benefit from spinal manipulation.

Research authors: John D. Childs, Julie M. Fritz, Timothy W. Flynn, James J. Irrgang, Kevin K. Johnson, Guy R. Majkowski, Anthony Delitto

Details Formula Study characteristics Files & References

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Model author

Evidencio Community

Model ID

923

Version

1.4

Revision date

2017-09-22

Specialty

Orthopaedics

MeSH terms

Low Back Pain

Spinal Manipulation

Physiotherapy (Techniques)

Clinical Prediction Rule

Model type

Linear model ^{(Calculation)}

Status

public

Rating

★

Formula
No Formula defined yet

Condition	Formula

Additional information

Patients from 8 clinics were recruited in various U.S. regions from March 2002 through March 2003. 543 consecutive patients were screened who were referred to physical therapy with symptoms of low back pain for inclusion. Of these, 386 did not meet all inclusion criteria. The most common reasons for exclusion were an ODQ score less than 30% (n = 202 [53%]) and age younger than 18 years or older than 60 years (n = 64 [17%]). Of 157 eligible patients, 26 elected not to participate because of concerns about the time commitment (n = 19) or not wanting to be randomly assigned to 1 of the treatment groups (n = 7). The remaining 131 patients provided informed consent and were enrolled. After randomization, 70 patients were assigned to the manipulation group and 61 to the exercise group.

Study Population

Total population size: 131

Males: {{ model.numberOfMales }}

Females: {{ model.numberOfFemales }}

Continuous characteristics

Name	Mean	SD	Unit
Age	33.9	10.9	years
Body mass index	27.1	4.5	kg/m2
FABQ physical activity subscale score	17	4.3	points
FABQ work subscale score	17.0	10.3	points
ODQ score	41.2	10.4	points
Pain	5.8	1.6	points

Categorical characteristics

Name	Subset / Group	Nr. of patients
Characteristics	Current smokers	30
	previous improvement with manipulation for low back pain	29
	Medication use for low back pain	110
	Missed any work for low back pain	52
	Symptoms distal to the knee	31
	History of low back pain	89

	Clinical prediction rule to identify low back pain patients most likely to benefit from spinal manipulation
	V-1.4-923.17.09.22
	Refer to Intended Use for instructions before use
	Evidencio B.V., Irenesingel 19, 7481 GJ, Haaksbergen, the Netherlands

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Result interpretation

The clinical prediction rule identifies patient with low back pain that are most likely to benefit from spinal manipulation.

Calculations alone should never dictate patient care, and are no substitute for professional judgement. See our full disclaimer.

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Disclaimer: Calculations alone should never dictate patient care, and are no substitute for professional judgement.

Additional information

Study Population

Continuous characteristics

Categorical characteristics

Related files

Supporting Publications

Amount of the criteria met from the clinical prediction rule:
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Additional information

Study Population

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Related files

Supporting Publications

Amount of the criteria met from the clinical prediction rule: ...

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Amount of the criteria met from the clinical prediction rule:

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