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| Name | Class |
|---|---|
| University of Zurich | OTHER |
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To investigate whether different clinical, psychophysical and neurophysiological phenotypes can be identified among low back pain patients
Low back pain patients will fill in a detailed questionnaire (incl. pain drawing) about their pain. Some of them will undergo a standardized quantitative sensory testing protocol and an fMRI procedure.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| low back pain patients | no intervention |
| |
| controls | no intervention |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| no intervention, observational | Other | no intervention, observational |
|
| Measure | Description | Time Frame |
|---|---|---|
| spatial pain extent | spatial pain extent (body map) | baseline |
| measures for central sensitization | temporal summation and conditioned pain modulation | baseline |
| Measure | Description | Time Frame |
|---|---|---|
| changes in spatial pain extent | changes in spatial pain extent (bodymap) | changes from baseline to 3 months |
| changes in measures for central sensitization | changes in temporal summation and conditioned pain modulation |
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Inclusion Criteria:
-primary complaint: low back pain clinically not attributable to red flags
Exclusion Criteria:
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Patients between 18 and 80 with low back pain
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| Name | Affiliation | Role |
|---|---|---|
| Petra Schweinhardt, MD, PhD | Balgrist University Hospital | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Balgrist University Hospital | Zurich | Canton of Zurich | 8008 | Switzerland |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 40372313 | Derived | Sirucek L, De Schoenmacker I, Gorrell LM, Lutolf R, Langenfeld A, Baechler M, Wirth B, Hubli M, Zolch N, Schweinhardt P. The periaqueductal gray in chronic low back pain: dysregulated neurotransmitters and function. Pain. 2025 May 15;166(7):1690-1705. doi: 10.1097/j.pain.0000000000003617. | |
| 39116869 | Derived |
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| ID | Term |
|---|---|
| D017116 | Low Back Pain |
| ID | Term |
|---|---|
| D001416 | Back Pain |
| D010146 | Pain |
| D009461 | Neurologic Manifestations |
| D012816 | Signs and Symptoms |
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blood sample (6 ml)
| changes from baseline to 3 months |
| Gozzi N, Preatoni G, Ciotti F, Hubli M, Schweinhardt P, Curt A, Raspopovic S. Unraveling the physiological and psychosocial signatures of pain by machine learning. Med. 2024 Dec 13;5(12):1495-1509.e5. doi: 10.1016/j.medj.2024.07.016. Epub 2024 Aug 7. |
| D013568 |
| Pathological Conditions, Signs and Symptoms |