A systematic review of chiropractic management of adults with whiplash-associated disorders: Recommendations for advancing evidence-based practice and research
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
UNLABELLED: The literature relevant to the treatment of Whiplash-Associated Disorders (WAD) is extensive and heterogeneous. METHODS: A Participatory Action Research (PAR) approach was used to engage a chiropractic community of practice and stakeholders in a systematic review to address a general question: 'Does chiropractic management of WAD clients have an effect on improving health status?' A systematic review of the empirical studies relevant to WAD interventions was conducted followed by a review of the evidence. RESULTS: The initial search identified 1,155 articles. Ninety-two of the articles were retrieved, and 27 articles consistent with specific criteria of WAD intervention were analyzed in-depth. The best evidence supporting the chiropractic management of clients with WAD is reported. Further review identified ways to overcome gaps needed to inform clinical practice and culminated in the development of a proposed care model: the WAD-Plus Model. CONCLUSIONS: There is a baseline of evidence that suggests chiropractic care improves cervical range of motion (cROM) and pain in the management of WAD. However, the level of this evidence relevant to clinical practice remains low or draws on clinical consensus at this time. The WAD-Plus Model has implications for use by chiropractors and interdisciplinary professionals in the assessment and management of acute, subacute and chronic pain due to WAD. Furthermore, the WAD-Plus Model can be used in the future study of interventions and outcomes to advance evidence-based care in the management of WAD.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.007 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 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 | 0.001 |
| 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 it