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Record W4412396435 · doi:10.1177/21925682251357200

AO Spine Clinical Practice Recommendations: Evaluation, Implications and Management of Osteoporosis in Adult Spinal Deformity

2025· article· en· W4412396435 on OpenAlexaff
So Kato, Brett Rocos, Go Yoshida, Zeeshan M. Sardar, Kristen E. Jones, Shin Oe, Charles Fisher, Stephen J. Lewis, AO Spine Knowledge Forum Deformity

Bibliographic record

VenueGlobal Spine Journal · 2025
Typearticle
Languageen
FieldMedicine
TopicScoliosis diagnosis and treatment
Canadian institutionsToronto Western HospitalUniversity of TorontoVancouver General HospitalUniversity Health NetworkUniversity of British Columbia
Fundersnot available
KeywordsMedicineSpinal deformityExpert opinionOsteoporosisEvidence-based medicineHealth careScientific evidenceQuality of evidencePhysical therapyMEDLINEDeformityIntensive care medicineAlternative medicineSurgeryRandomized controlled trialPathology

Abstract

fetched live from OpenAlex

Study designLiterature review with clinical recommendation.ObjectivesTo provide the readers with a concise curation of the relevant spine literature regarding the identification and management of osteoporosis in patients with adult spinal deformity (ASD) and set out recommendations for how the practicing clinician should interpret and make use of this evidence.MethodsKey articles from the published literature surrounding osteoporosis in patients being treated for ASD were reviewed and clinical recommendations were formulated by consensus. The recommendations are dichotomously graded into strong and conditional after integrating an assessment of methodological quality and expert opinion. This opinion considers experience and practical issues such as risks, burdens, costs, patient values, and circumstances.Results6 articles were selected by practicing spinal deformity surgeons and each evaluated for the strength of methodology and scientific evidence.ConclusionsThe current evidence suggests that preoperative evaluation of osteoporosis before ASD surgery should be routine. Additionally, there is clinical benefit in using anabolic agents for at least 3 months to improve bone stock and prevent mechanical complications. While high quality, strong evidence is still yet to be reported, all healthcare providers managing patients with ASD should be aware of the importance of bone health for optimizing post-operative outcomes and minimising complications.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.568
Threshold uncertainty score0.442

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.054
GPT teacher head0.467
Teacher spread0.413 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations2
Published2025
Admission routes1
Has abstractyes

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