| Literature DB >> 26388962 |
Richard A Deyo1, Samuel F Dworkin2, Dagmar Amtmann2, Gunnar Andersson3, David Borenstein4, Eugene Carragee5, John Carrino6, Roger Chou1, Karon Cook7, Anthony DeLitto8, Christine Goertz9, Partap Khalsa10, John Loeser2, Sean Mackey5, James Panagis11, James Rainville12, Tor Tosteson13, Dennis Turk2, Michael Von Korff14, Debra K Weiner8.
Abstract
UNLABELLED: Despite rapidly increasing intervention, functional disability due to chronic low back pain (cLBP) has increased in recent decades. We often cannot identify mechanisms to explain the major negative impact cLBP has on patients' lives. Such cLBP is often termed non-specific, and may be due to multiple biologic and behavioral etiologies. Researchers use varied inclusion criteria, definitions, baseline assessments, and outcome measures, which impede comparisons and consensus. The NIH Pain Consortium therefore charged a Research Task Force (RTF) to draft standards for research on cLBP. The resulting multidisciplinary panel recommended using 2 questions to define cLBP; classifying cLBP by its impact (defined by pain intensity, pain interference, and physical function); use of a minimal data set to describe research participants (drawing heavily on the PROMIS methodology); reporting "responder analyses" in addition to mean outcome scores; and suggestions for future research and dissemination. The Pain Consortium has approved the recommendations, which investigators should incorporate into NIH grant proposals. The RTF believes these recommendations will advance the field, help to resolve controversies, and facilitate future research addressing the genomic, neurologic, and other mechanistic substrates of chronic low back pain. We expect the RTF recommendations will become a dynamic document, and undergo continual improvement. PERSPECTIVE: A Task Force was convened by the NIH Pain Consortium, with the goal of developing research standards for chronic low back pain. The results included recommendations for definitions, a minimal dataset, reporting outcomes, and future research. Greater consistency in reporting should facilitate comparisons among studies and the development of phenotypes.Entities:
Keywords: NIH Task Force; chronic low back pain; low back pain; minimum dataset; research standards
Year: 2015 PMID: 26388962 PMCID: PMC4560531 DOI: 10.3822/ijtmb.v8i3.295
Source DB: PubMed Journal: Int J Ther Massage Bodywork
Task Force Members, Affiliations, and Expertise
| Richard A. Deyo MD, MPH | Departments of Family Medicine, Internal Medicine, and Public Health, Oregon Health and Science University and Clinical Investigator, Kaiser Center for Health Research | Primary care, Health Services Research |
| Samuel F. Dworkin DDS, PhD | Departments of Oral Medicine and Psychiatry and Behavioral Sciences, University of Washington | Temporomandibular joint disorders, chronic pain, clinical psychology |
| Gunnar Andersson MD, PhD | Department of Orthopaedic Surgery, Rush University Medical Center | Orthopaedic spine surgery |
| David Borenstein MD | Department of Rheumatology, George Washington University | Rheumatology |
| Eugene Carragee MD | Department of Orthopaedic Surgery, Stanford University School of Medicine | Orthopaedic spine surgery |
| John Carrino MD, MPH | Department of Radiology, Johns Hopkins University School of Medicine | Musculoskeletal radiology |
| Roger Chou MD | Departments of Medicine, and of Medical Informatics and Clinical Epidemiology, Oregon Health and Science University | General Internal Medicine, Systematic Review |
| Anthony DeLitto PT, PhD | Department of Physical Therapy, University of Pittsburgh School of Health Rehabilitation | Physical Therapy |
| Christine Goertz DC, PhD | Palmer College of Chiropractic | Chiropractic care, Epidemiology |
| John Loeser MD | Department of Neurological Surgery, University of Washington | Neurosurgery, pain management |
| Sean Mackey MD, PhD | Department of Anesthesia, Stanford University School of Medicine | Pain Management, Functional Brain Imaging |
| James Rainville MD | Physical Medicine and Rehabilitation, New England Baptist Hospital and Tufts University | Spine rehabilitation |
| Tor Tosteson ScD | Department of Community and Family Medicine, Dartmouth University | Biostatistics |
| Dennis Turk PhD | Department of Anesthesiology and Pain Medicine, University of Washington | Pain medicine, Psychology |
| Michael Von Korff ScD | Group Health Research Institute, Seattle | Epidemiology |
| Debra K. Weiner MD | Geriatric Research, Education and Clinical Center, VA Pittsburgh Healthcare System and the Departments of Medicine, Psychiatry, and Anesthesiology; the Clinical and Translational Science Institute, University of Pittsburgh | Geriatric Medicine, Rheumatology |
Key Principles Developed by the Task Force on Research Standards for Chronic Low Back Pain
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The process should use an evidence-based approach that incorporates a biopsychosocial model of chronic pain. Data should be useful for a wide range of conditions, including patients thought to have degenerative spinal disorders (e.g. herniated disc or lumbar stenosis) as well as those without identified pathoanatomy. Patients with underlying systemic or highly specific diseases were not the target of the Task Force. Such conditions include cancer, spinal infections, fractures, and inflammatory spondylopathies such as ankylosing spondylitis. Patients with no identified pathoanatomy should not be assumed to have “psychological”, “psychosomatic”, “psychogenic”, or “somatoform” pain. Given the current state of knowledge, stratifying chronic back pain by its impact is more feasible and potentially useful than attempting classification solely by pathoanatomy or pathophysiology. Impact will tentatively be defined in terms of pain intensity, interference with activities, and physical function. A minimal uniform dataset should be reported in all studies of chronic back pain. This should be brief, so that investigators can supplement it with key measures for specific research questions. The dataset should be relevant for population, observational, and interventional research. The dataset should include both biomedical and psychosocial variables. An investigator could substitute more detailed, precise, and well-validated measures for a particular domain, but should report data for each domain of the minimal dataset. Additional “core” items would be recommended for specific study aims or populations, such as surgical trials or elderly populations. A prognostic dimension for the classification of chronic low back pain would be desirable, but more evidence is needed before an explicit recommendation will be made. Research standards should evolve, and the RTF will suggest a potential research agenda for refining the research standards. |
Task Force Recommendations: Research Standards for Chronic Low Back Pain (cLBP)
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Recommended Minimum Dataset
Performance of the Research Task Force Impact Stratification Among 218 Subjects Undergoing Epidural Steroid Injections; Three-Month Follow-Up Was Available for 170 of These Subjects (78%)
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| RTF Impact Stratification score | .806 | .661 |
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| Patient satisfaction index, scored 1–4 | .148 | .251 |
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| RTF Impact stratification score 8–27 (mild) | 30% | 63% |
| RTF Impact stratification score 38–34 (moderate) | 34% | 18% |
| RTF Impact stratification score ≥35 (severe) | 36% | 19% |
| Mean RTF Impact stratification score (SD) | 32 (8.3) | 25 (9.7) |
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| RTF Impact Stratification | 0.69 | 0.75 |
| Roland-Morris Disability Questionnaire | 0.39 | 0.41 |