Intrathecal Infusion Systems for Long-TermManagement of Chronic Non-Cancer Pain:An Update of Assessment of Evidence
Bibliographic record
Abstract
BACKGROUND: Intrathecal infusion systems are often used for patients with intractable pain when all else fails, including surgery. There is, however, some concern as to the effectiveness and safety of this treatment. STUDY DESIGN: A systematic review of intrathecal infusion systems for long-term management of chronic non-cancer pain. OBJECTIVE: To evaluate and update the effect of intrathecal infusion systems in managing chronic non-cancer pain. METHODS: The available literature on intrathecal infusion systems in managing chronic pain was reviewed. The quality assessment and clinical relevance criteria utilized were the Cochrane Musculoskeletal Review Group criteria as utilized for interventional techniques for randomized trials and the Newcastle-Ottawa Scale criteria for observational studies. The level of evidence was classified as good, fair, and limited or poor based on the quality of evidence developed by the U.S. Preventative Services Task Force (USPSTF). Data sources included relevant literature identified through searches of PubMed and EMBASE from 1966 to December 2012, and manual searches of the bibliographies of known primary and review articles. OUTCOME MEASURES: The primary outcome measure was pain relief with short-term relief < 12 months and long-term relief ≥ 12 months. Secondary outcome measures were improvement in functional status, psychological status, return to work, and reduction in opioid intake. RESULTS: There were 28 studies identified for this systematic review. Of these, 21 were excluded from further review. A total of 7 non-randomized studies met inclusion criteria for methodological quality assessment. No randomized trials met the inclusion requirements.The evidence is limited based on observational studies. LIMITATIONS: The limitations of this systematic review include the paucity of literature. CONCLUSION: The evidence is limited for intrathecal infusion systems.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.018 | 0.061 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.006 |
| Bibliometrics | 0.015 | 0.012 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.004 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".