Research Priorities and Methodological Implications
Bibliographic record
Abstract
STUDY DESIGN: Best evidence synthesis. OBJECTIVE: To report on gaps in the literature and make methodologic recommendations based on our review of the literature on frequency and risk factors, assessment, intervention, and course and prognostic factors for neck pain and its associated disorders. SUMMARY OF BACKGROUND DATA: The scientific literature on neck pain is large and of variable quality. We reviewed 1203 studies and judged 46% to be of sufficient scientific validity to be included in the best evidence synthesis. Scientific quality varied across study topics, and fundamental questions remain about important issues. METHODS: The Bone and Joint Decade 2000-2010 Task Force on Neck Pain and its Associated Disorders (Neck Pain Task Force) conducted a critical review of the literature published between 1980 and 2006 to assemble the best evidence on neck pain and its associated disorders. Studies meeting criteria for scientific validity were included in a best evidence synthesis. RESULTS: We outline a large number of gaps in the current literature. For example, we found important gaps in our knowledge about neck pain in children (risk factors, screening criteria to rule out serious injury, management, course and prognosis); and in the prevention of neck pain-related activity limitations. Few studies addressed the impact of culture or social policies (such as governmental health policies or insurance compensation policies) on neck pain. A number of important questions remain about the effectiveness of commonly used interventions for neck pain. CONCLUSION: The Neck Pain Task Force undertook a best evidence synthesis to establish a baseline of the current best evidence on the course and prognosis for whiplash-associated disorders. We identify a number of gaps in the current knowledge, and provide recommendations for the conduct of future studies.
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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 | 0.457 | 0.710 |
| Meta-epidemiology (narrow) | 0.005 | 0.003 |
| Meta-epidemiology (broad) | 0.011 | 0.009 |
| Bibliometrics | 0.022 | 0.020 |
| Science and technology studies | 0.006 | 0.008 |
| Scholarly communication | 0.023 | 0.022 |
| Open science | 0.011 | 0.013 |
| Research integrity | 0.019 | 0.012 |
| Insufficient payload (model declined to judge) | 0.057 | 0.010 |
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".