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Record W4417067214 · doi:10.1016/j.bas.2025.105886

SPINE20 recommendations 2025: Sustainable spine care for all

2025· article· en· W4417067214 on OpenAlexaff
Adriaan Vlok, Koji Tamai, Suhail Saad Alassiri, Thomas R. Blattert, Marco Campello, Robert Dunn, Komal Kamra, Kazuya Kitamura, Lisa Roberts, Carlo Ruosi, François Theron, Carlos Tucci, Ratko Yurac, Bridget Bromfield, Mufudzi Chihambakwe, Quinette Louw, Danella Lubbe, Almero Oosthuizen, André Bussières, Harvinder Singh Chhabra, Pierre Côté, Giuseppe Costanzo, Bambang Darwono, Scott Haldeman, Jérémie Larouche, Eric J. Muehlbauer, Johan G. Van Lerbeirghe, Hana Alsobayel, Paulo Pereira, Michael Piccirillo, Sanjay Wadhwa, Karsten Wiechert, Andre Luis Fernandes Andújar, Luís Eduardo Carelli, Alexandre Fogaça Cristante, Cristiano Magalhães Menezes, Robert Meves, Luciano Miller Reis Rodrigues, Marcelo Ítalo Risso Neto, Sami Aleissa

Bibliographic record

VenueBrain and Spine · 2025
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsUniversity of CalgaryCentre for Disability Prevention and RehabilitationUniversité du Québec à Trois-RivièresCanadian Chiropractic Association
Fundersnot available
KeywordsHealth careSummitWorkforceGlobal healthPsychological interventionPublic healthWork (physics)Health promotion

Abstract

fetched live from OpenAlex

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.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.017
metaresearch head score (Gemma)0.052
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.084
Threshold uncertainty score0.208

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0170.052
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.005
Bibliometrics0.0040.004
Science and technology studies0.0030.002
Scholarly communication0.0070.006
Open science0.0080.007
Research integrity0.0210.012
Insufficient payload (model declined to judge)0.0620.059

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.

Opus teacher head0.010
GPT teacher head0.330
Teacher spread0.320 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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