SPINE20 recommendations 2025: Sustainable spine care for all
Bibliographic record
Abstract
Spine disorders remain a leading cause of disability worldwide, affecting over 900 million people and creating profound social and economic burden. In response, SPINE20, a global alliance of 38 professional societies, presents its 2025 policy recommendations under the theme "Sustainable Spine Care for All". Main recommendation; SPINE20 recommends G20 countries to implement sustainable evidence-based spine care models drawing on successful global programs considering particularly registries, incentivized health targets and public-private partnerships. Focused on "Public health"; SPINE20 recommends G20 countries to integrate spine health into public health and primary care health policies by addressing the prevention and management of both communicable and non-communicable diseases, and strengthening public-private partnerships to achieve sustainable spine care. Focused on "Occupational Health & Safety Policy"; SPINE20 recommends that G20 countries implement evidence-informed, work-focused interventions that address employee and workforce factors early, to reduce the social and economic impact of work loss and increase employability for people with spine disorders. Focused on "Capacity Building"; SPINE20 recommends that G20 countries prioritize building capacity in spinal cord injury care by adopting evidence-based interventions such as the global initiatives supported by World Health Organization (WHO) in low- and middle-income countries and aligned with the WHO Rehabilitation 2030 Call to Action. This paper serves as a summary of the recommendations. The complete set of SPINE20 2025 Recommendations, which is available in SPINE20 official web-site (https://spine20.net), was officially presented to Provincial Minister of Health and Wellness, Western Cape Government, during the SPINE20 Summit 2025. An official communication from the Western Cape Ministry of Health and Wellness subsequently confirmed formal acknowledgment of receipt of the recommendations.
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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 | 0.017 | 0.052 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.005 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.008 | 0.007 |
| Research integrity | 0.021 | 0.012 |
| Insufficient payload (model declined to judge) | 0.062 | 0.059 |
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".