Serious adverse events following lumbar spine mobilization or manipulation and potential associated factors: a systematic review protocol
Bibliographic record
Abstract
OBJECTIVES: The objectives of this review are to describe the serious adverse events reported in the literature following lumbopelvic mobilization and manipulation, and identify patient, provider, and/or treatment factors that may be associated with serious adverse events after these interventions. INTRODUCTION: Spinal mobilization and manipulation are types of conservative care commonly used to treat people with low back pain and other musculoskeletal conditions of the lumbar spine and pelvis. Although most adverse events following these interventions are benign and transient, serious adverse events have been reported mostly following spinal manipulative therapy. Given the significant impact serious adverse events can have on patients' lives, identifying factors that may be associated with serious adverse events following spinal mobilization and manipulation of the low back and pelvis would allow for a more specific pre-treatment screening, potentially reducing the occurrence of serious adverse events following these popular interventions and contributing to a safer treatment delivery. INCLUSION CRITERIA: This review will consider interventional and observational studies that report serious adverse events following lumbopelvic spinal mobilization or manipulation experienced by people of any age. Examples of serious adverse events include disc herniation, cauda equina syndrome, and vertebral fracture. METHODS: MEDLINE, Embase, CINAHL, PubMed, The Cochrane Database of Systematic Reviews/Central Register of Controlled Trials, and Index to Chiropractic Literature (ICL) databases will be searched as well as OpenGrey and ProQuest Dissertations and Theses. Two independent reviewers will screen titles and abstracts of identified references as well as the full text of identified studies, and extract data following a standardized data extraction form. Data will be summarized, categorized, and a comprehensive narrative summary will be presented. SYSTEMATIC REVIEW REGISTRATION NUMBER: PROSPERO CRD42019122339.
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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 | 0.079 | 0.077 |
| Meta-epidemiology (narrow) | 0.005 | 0.006 |
| Meta-epidemiology (broad) | 0.018 | 0.015 |
| Bibliometrics | 0.016 | 0.012 |
| Science and technology studies | 0.005 | 0.005 |
| Scholarly communication | 0.007 | 0.010 |
| Open science | 0.005 | 0.005 |
| Research integrity | 0.007 | 0.005 |
| Insufficient payload (model declined to judge) | 0.060 | 0.009 |
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".