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Outcomes indicators and a risk classification system for spinal manipulation under anesthesia: a narrative review and proposal

Overview of attention for article published in Chiropractic & Manual Therapies, March 2018
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Title
Outcomes indicators and a risk classification system for spinal manipulation under anesthesia: a narrative review and proposal
Published in
Chiropractic & Manual Therapies, March 2018
DOI 10.1186/s12998-018-0177-z
Pubmed ID
Authors

Dennis DiGiorgi, John L. Cerf, Daniel S. Bowerman

Abstract

Over a period of decades chiropractors have utilized spinal manipulation under anesthesia (SMUA) to treat chronic back and neck pain. As an advanced form of manual therapy, SMUA is reserved for the patient whose condition has proven refractory to office-based manipulation and other modes of conservative care. Historically, the protocols and guidelines put forth by chiropractic MUA proponents have served as the clinical compass for directing MUA practice. With many authors and MUA advocates having focused primarily on anticipated benefit, the published literature contains no resource dedicated to treatment precautions and contraindications. Also absent from current relevant literature is acknowledgement or guidance on the preliminary evidence that may predict poor clinical outcomes with SMUA. This review considers risk and unfavorable outcomes indicators in therapeutic decision making for spinal manipulation under anesthesia. A new risk classification system is proposed that identifies patient safety and quality of care interests for a procedure that remains without higher-level research evidence. A scale which categorizes risk and outcome potential for SMUA is offered for the chiropractic clinician, which aims to elevate the standard of care and improve patient selection through the incorporation of specific indices from existing medical literature.

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Mendeley readers

The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 61 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 15 25%
Student > Bachelor 7 11%
Unspecified 6 10%
Other 5 8%
Researcher 4 7%
Other 8 13%
Unknown 16 26%
Readers by discipline Count As %
Nursing and Health Professions 15 25%
Medicine and Dentistry 14 23%
Unspecified 6 10%
Social Sciences 3 5%
Agricultural and Biological Sciences 2 3%
Other 4 7%
Unknown 17 28%