The Global Spine Care Initiative: classification system for spine-related concerns
Bibliographic record
Abstract
PURPOSE: The purpose of this report is to describe the development of a classification system that would apply to anyone with a spine-related concern and that can be used in an evidence-based spine care pathway. METHODS: Existing classification systems for spinal disorders were assembled. A seed document was developed through round-table discussions followed by a modified Delphi process. International and interprofessional clinicians and scientists with expertise in spine-related conditions were invited to participate. RESULTS: Thirty-six experts from 15 countries participated. After the second round, there was 95% agreement of the proposed classification system. The six major classifications included: no or minimal symptoms (class 0); mild symptoms (i.e., neck or back pain) but no interference with activities (class I); moderate or severe symptoms with interference of activities (class II); spine-related neurological signs or symptoms (class III); severe bony spine deformity, trauma or pathology (class IV); and spine-related symptoms or destructive lesions associated with systemic pathology (class V). Subclasses for each major class included chronicity and severity when different interventions were anticipated or recommended. CONCLUSIONS: An international and interprofessional group developed a comprehensive classification system for all potential presentations of people who may seek care or advice at a spine care program. This classification can be used in the development of a spine care pathway, in clinical practice, and for research purposes. This classification needs to be tested for validity, reliability, and consistency among clinicians from different specialties and in different communities and cultures. These slides can be retrieved under Electronic Supplementary Material.
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
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".