Diagnostic Imaging Practice Guidelines for Musculoskeletal Complaints in Adults—An Evidence-Based Approach: Introduction
Bibliographic record
Abstract
PURPOSE: Imaging technology can improve patient outcomes by allowing greater precision in diagnosing and treating patients. However, there is evidence that overuse, underuse, and misuse of imaging services occur. The purpose of this project was to develop evidence-based diagnostic imaging practice guidelines for musculoskeletal complaints for use by doctors of chiropractic and other primary health care professionals. METHODS: An electronic search of the English and French language literature (phase 1) was conducted on several databases. Cross references, and references provided by clinicians, were also used. Independent assessment of the quality of the citations used to support recommendations in the guidelines was performed using the QUADAS, the AGREE,and the SPREAD evaluation tools. A first draft of a diagnostic imaging practice guideline was produced, using the European Commission's Referral Guidelines for Imaging document as a template. Results were sent to 12 chiropractic specialists for a first external review. A modified Delphi process, including 149 international experts, was used to generate consensus on recommendations for diagnostic imaging studies. The reliability of proposed recommendations was further tested on field chiropractors and on a group of specialists both in chiropractic and in medicine in both Canada and the United States. All recommendations were graded according to the strength of the evidence. RESULTS: The research procedure resulted in the recommendations for diagnostic imaging guidelines of adult extremity and spine disorders supported by more than 685 primary and secondary citations. High levels of agreement among Delphi panelists were reached for all proposed recommendations. Comments received by specialists were generally very favorable and reflected high levels of agreement with the proposed recommendations, perceived ease of use of guidelines, and implementation feasibility. CONCLUSIONS: These evidence-based diagnostic imaging practice guidelines are intended to assist chiropractors and other primary care providers in decision making on the appropriate use of diagnostic imaging for specific clinical presentations. In all cases, the guidelines are intended to be used in conjunction with sound clinical judgment and experience. Application of these guidelines should help avoid unnecessary radiographs, increase examination precision,and decrease health care costs without compromising the quality of care. All guidelines are documents to be refined and modified regularly with new information and experience.
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How this classification was reachedexpand
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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".