Combined cervical and thoracic spinal cord stimulation for chronic pain: A systematic literature review
Bibliographic record
Abstract
OBJECTIVES: Spinal cord stimulation (SCS) is conventionally placed at either cervical or thoracic spinal regions to treat chronic pain. However, for patients with multiarea pain, concomitant cervical and thoracic SCS (ctSCS) may be necessary to provide sufficient coverage. It remains unknown whether ctSCS is effective and safe. Thus, we aimed to survey the existing literature and assess the efficacy and safety of ctSCS. METHODS: A systematic review of the literature was performed according to the 2020 PRISMA guidelines to investigate pain, functional, and safety outcomes related to ctSCS. Articles between 1990 and 2022 available through PubMed, Web of Science, Scopus, and Cochrane Library databases were included if they assessed these outcomes in the context of ctSCS. Data extracted from articles included study type, number of ctSCS implantations, stimulation parameters, indications for implantation, complications, and frequency. The Newcastle-Ottawa scale was used to assess risk of bias. RESULTS: Three primary studies met our inclusion criteria. Overall, ctSCS was effective in providing analgesia. Pain severity was captured with patient-reported pain scales and changes in analgesic requirements. Various metrics were used to quantify quality of life and functional outcomes. Failed back surgery syndrome was the most common indication for ctSCS implantation. Implanted pulse generator pocket pain was the most common postoperative adverse event. CONCLUSIONS: Despite the limited evidence available, ctSCS seems to be effective and generally well tolerated. The dearth of relevant primary literature illustrates a knowledge gap, and future studies are needed to better clarify the efficacy and safety profile of this SCS variant.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.012 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".