Literature Syntheses for the Council on Chiropractic Guidelines and Practice Parameters: Methodology
Bibliographic record
Abstract
OBJECTIVE: The purpose of this project was to initiate an iterative process for systematic review of the literature involving a broad spectrum of individuals with experience across multiple domains (clinicians, educators, clinical scientists, and politically active) within the chiropractic profession. METHODS: The Scientific Commission of the Council on Chiropractic Guidelines and Practice Parameters (CCGPP) was charged with developing literature syntheses, organized by anatomical region, to evaluate and report on the evidence-based values for chiropractic care. Content and process-experienced team leaders were selected to manage 8 domains based on regional disorders: low back and related lower extremity conditions; neck pain, headache, and related upper extremity conditions; costovertebral and thoracic conditions; upper extremity disorders; lower extremity disorders; nonmusculoskeletal disorders; and subluxation. Team efforts in review, rating, and reporting of literature synthesis were guided, as best possible, by the widely accepted Appraisal of Guidelines for Research and Evaluation process. The main features included (1) review by a panel of experts; (2) detailed topic selection based on literature of most common conditions and procedures; (3) structured instruments for rating the quality of and results from the literature; (4) formal consensus process to adjudicate differences in professional opinion; and (5) wide stakeholder review by patients, professionals, policymakers, and third-party payers. As part of the CCGPP process, preliminary drafts of these articles were posted on the CCGPP Web site www.ccgpp.org (2006-2008) to allow for an open process and the broadest possible mechanism for stakeholder input. RESULTS: Reports on findings from this process are being published. The reports from each domain summarize methodological challenges and their unique content. CONCLUSIONS: Although all literature in health care is challenged by complex methodological issues that limit how the information may be generalized, the preponderance of evidence in any of the domains can be informative to the clinician as well as give guidance to new scientific efforts to improve the quality of care.
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.
How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gpt | no category Domain: not available · Genre: Methods About the Canadian research system: no · About a Canadian topic: no | Other design | low |
| grok | no category Domain: not available · Genre: Methods About the Canadian research system: no · About a Canadian topic: no | Not applicable | low |
| opus | Metaresearch Domain: Methods · Genre: Methods About the Canadian research system: no · About a Canadian topic: no | Theoretical or conceptual | low |
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 | 0.416 | 0.609 |
| Meta-epidemiology (narrow) | 0.003 | 0.004 |
| Meta-epidemiology (broad) | 0.006 | 0.008 |
| Bibliometrics | 0.038 | 0.036 |
| Science and technology studies | 0.006 | 0.006 |
| Scholarly communication | 0.015 | 0.008 |
| Open science | 0.007 | 0.012 |
| Research integrity | 0.006 | 0.007 |
| Insufficient payload (model declined to judge) | 0.028 | 0.007 |
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, unvalidatedLabeled directly by 3 models reading the full record.
The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.
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".