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Record W2570513809 · doi:10.1055/s-0036-1582769

Does Age Affect Surgical Outcomes in Patients with Degenerative Cervical Myelopathy?: Results from the Prospective, Multicenter AOSpine International Study on 479 Patients

2016· article· en· W2570513809 on OpenAlexaff
Hiroaki Nakashima, Lindsay Tetreault, Narihito Nagoshi, Aria Nouri, Michael G. Fehlings

Bibliographic record

VenueGlobal Spine Journal · 2016
Typearticle
Languageen
FieldMedicine
TopicCervical and Thoracic Myelopathy
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMedicineMyelopathyPopulationProspective cohort studyPhysical therapyMinimal clinically important differenceSurgeryInternal medicineRandomized controlled trialSpinal cord

Abstract

fetched live from OpenAlex

Introduction Currently, the global population is experiencing a shift in its age structure. With this aging of the population, clinicians worldwide will be required to manage an increasing number of patients with degenerative cervical myelopathy (DCM). However, there is controversy whether surgical decompression is equally effective and safe in elderly patients as it is in younger patients. This study aims to determine whether age truly is an independent predictor of surgical outcome and to provide evidence to guide practice and decision-making. Material and Methods A total of 479 symptomatic DCM patients were prospectively enrolled in the CSM-International study at 16 centers. Our sample was divided into a younger (<65years) and elderly (≥65years) group. Each subject was neurologically examined at baseline and 24-months postoperatively and evaluated using a variety of functional outcome measures, including the Neck Disability Index (NDI), SF-36 physical component summary (PCS) and mental component summary (MCS), and the modified Japanese Orthopaedic Association scale (mJOA). A mixed model analytic approach was used to evaluate differences in these outcome measures between groups. We first created an unadjusted model between age and surgical outcome and then developed two adjusted models that accounted for variations in 1) baseline characteristics and 2) both baseline and surgical factors. Results Of the 479 patients, 360 (75.16%) were < 65 years and 119 (24.84%) were ≥65 years. There were no significant differences in gender ( p = 0.82) or duration of symptoms ( p = 0.82) between the two age groups. However, elderly patients had a significantly higher number of co-morbidities ( p < 0.0001). In addition, elderly patients were functionally more impaired preoperatively based on the mJOA ( p < 0.0001) and Nurick ( p < 0.0001) scales and had a lower SF-36 PCS ( p = 0.048). The majority of younger patients (64.96%) underwent anterior surgery, whereas the preferred approach in the elderly group was posterior (58.62%) ( p < 0.0001). Elderly patients had a greater number of decompressed levels (4.14 ± 1.30) than younger patients (3.50 ± 1.23) ( p < 0.0001). Three hundred and eight-nine patients (81.21%) attended their 24-month follow-up appointment. Younger patients achieved a higher postoperative mJOA ( p < 0.0001) and a lower Nurick score ( p < 0.0001) than elderly patients. SF-36 PCS scores were also significantly higher in the younger group ( p = 0.033). There were no significant differences in postoperative NDI or SF-36 MCS between age groups. After adjustments for patient and surgical characteristics, these differences in postoperative outcome scores decreased but remained significant. On average, elderly patients had a significantly longer length of postoperative hospital stay (12.99 ± 13.56 days) than younger patients (9.53 ± 8.67 days) ( p = 0.0086). There were no significant differences between the two age groups with respect to rates of perioperative complications ( p = 0.47). Conclusion Older age is an independent predictor of functional status in patients with DCM. However, patients over 65 with DCM still achieve functionally significant improvement after surgical decompression. Potential explanations for this lower functional outcomes in older patients include that the elderly 1) increased degenerative pathology, including a decrease in number of anterior horn cells and number of myelinated fibers 2) co-morbidities, 3) reduced physiological reserves and 4) age-related changes to the spinal cord.

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)0.000
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.030
Threshold uncertainty score0.492

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
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 head0.009
GPT teacher head0.278
Teacher spread0.269 · 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".

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Citations1
Published2016
Admission routes1
Has abstractyes

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