Systematic review of persistent pain and psychological outcomes following traumatic musculoskeletal injury
Bibliographic record
Abstract
BACKGROUND: Persistent pain and psychological distress are common after traumatic musculoskeletal injury (TMsI). Individuals sustaining a TMsI are often young, do not recover quickly, and place a large economic burden on society. OBJECTIVES: The aim of this systematic review is to determine (1) the incidence of persistent pain following TMsI, (2) the characteristics of pain, characterized by injury severity and type, and (3) risk and protective factors associated with persistent pain following TMsI. METHODS: A systematic search of electronic databases (MEDLINE(®), PubMed(®), Embase, and PsycINFO(®)) was conducted for prospective, interventional, or noninterventional studies measuring the incidence of pain associated with TMsI. RESULTS: The search revealed 4388 studies. Eleven studies examined persistent pain and met inclusion criteria. Pain was assessed using a validated measure of pain intensity or pain presence in six studies. Persistent pain was reported by all studies at variable time points up to 84 months postinjury, with wide variation among studies in pain intensity (ie, from mild to very severe) and pain incidence at each time point. The incidence of pain decreased over time within each study. Two studies found significant relationships between injury severity and persistent pain. Frequently cited predictive factors for persistent pain included: symptoms of anxiety and depression, patient perception that the injury was attributable to external sources (ie, they were not at fault), cognitive avoidance of distressing thoughts, alcohol consumption prior to trauma, lower educational status, being injured at work, eligibility for compensation, pain at initial assessment, and older age. CONCLUSION AND IMPLICATIONS: The evidence from the eleven studies included in this review indicates that persistent pain is prevalent up to 84 months following traumatic injury. Further research is needed to better evaluate persistent pain and other long-term posttraumatic outcomes.
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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 | 0.007 | 0.044 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.008 | 0.007 |
| Bibliometrics | 0.010 | 0.012 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".