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Record W2471641819 · doi:10.1097/brs.0000000000001777

Impact of Depression and Bipolar Disorders on Functional and Quality of Life Outcomes in Patients Undergoing Surgery for Degenerative Cervical Myelopathy

2016· article· en· W2471641819 on OpenAlexaff
Lindsay Tetreault, Narihito Nagoshi, Hiroaki Nakashima, Anoushka Singh, Branko Kopjar, Paul M. Arnold, Michael G. Fehlings

Bibliographic record

VenueSpine · 2016
Typearticle
Languageen
FieldMedicine
TopicCervical and Thoracic Myelopathy
Canadian institutionsUniversity of TorontoToronto Western Hospital
Fundersnot available
KeywordsMedicineDepression (economics)MyelopathyQuality of life (healthcare)Prospective cohort studyBipolar disorderOrthopedic surgeryComorbidityInternal medicineMajor depressive disorderSurgeryPhysical therapyPsychiatryLithium (medication)Spinal cord

Abstract

fetched live from OpenAlex

STUDY DESIGN: Analysis of a combined prospective dataset. OBJECTIVE: To compare clinical outcomes in patients with and without preexisting depression or bipolar disorder undergoing surgery for degenerative cervical myelopathy (DCM). SUMMARY OF BACKGROUND DATA: Psychiatric comorbidities, including depression, have been associated with worse clinical outcomes after lumbar spine surgery; however, it is unclear whether these psychiatric disorders are also predictive of outcomes in patients undergoing surgery for the treatment of DCM. METHODS: Four hundred and one patients with symptomatic DCM were enrolled in the prospective AOSpine International or North America study at twelve North American sites. Patients were evaluated preoperatively and at 6, 12, and 24 months using the modified Japanese Orthopedic Association scale (mJOA), Nurick score, Neck Disability Index (NDI), and Short- Form 36v2 (SF-36v2) Health Survey. A mixed model analytic approach was used to evaluate differences in outcomes at 24 months among patients with and without psychiatric disorders, while controlling for relevant baseline characteristics and surgical factors. RESULTS: Ninety-seven patients (24.19%) were diagnosed with preexisting depression or bipolar disorder. There were more females (65.98%) with these psychiatric disorders than males (34.02%) (P < 0.0001). Patients with psychiatric comorbidities were more likely to have cardiovascular (P = 0.0177), respiratory (P < 0.0001), gastrointestinal (P < 0.0001), rheumatologic (P = 0.0109), and neurologic (P = 0.0309) disorders. At 24 months after surgery, patients in both groups demonstrated significant improvements on the mJOA, Nurick, NDI, and SF-36v2 Physical Component Score (PCS). Patients with depression or bipolar disorder, however, did not exhibit a significant or clinically important change on the SF-36v2 Mental Component Score (MCS). There were no differences in mJOA and Nurick scores at 24 months among patients in each group. Improvement in NDI, SF-36v2 PCS, and MCS, however, were smaller in patients with depression or bipolar disorder than those without. CONCLUSION: Patients with depression or bipolar disorder have smaller functional and quality of life improvements after surgery compared to patients without psychiatric comorbidities. LEVEL OF EVIDENCE: 2.

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 score0.067
Threshold uncertainty score0.229

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.033
GPT teacher head0.313
Teacher spread0.280 · 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

Citations39
Published2016
Admission routes1
Has abstractyes

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