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Record W2564330321 · doi:10.1055/s-0036-1582661

New Motor Deficit after Adult Spinal Deformity Surgery Leads to Worsened Early HRQOL: Subanalysis of 273 Patients from Scoli Risk 1 Prospective Study

2016· article· en· W2564330321 on OpenAlexaff
Rajiv Saigal, Sigurd Berven, Virginie Lafage, Michael P. Kelly, Branko Kopjar, Justin S. Smith, Benny Dahl, Kmc Cheung, Leah Y. Carreon, Frank Schwab, Kathrin Rebmann, Christopher I. Shaffrey, Michael G. Fehlings, Lawrence G. Lenke, Christopher P. Ames

Bibliographic record

VenueGlobal Spine Journal · 2016
Typearticle
Languageen
FieldMedicine
TopicScoliosis diagnosis and treatment
Canadian institutionsToronto Western HospitalUniversity of Toronto
Fundersnot available
KeywordsMedicineQuality of life (healthcare)SurgerySpinal deformityOswestry Disability IndexCobb angleDeformityObservational studyProspective cohort studyScoliosisPhysical therapyInternal medicine

Abstract

fetched live from OpenAlex

Introduction An International, ambispective, multi-center observational cohort study (Scoli-Risk-1) was completed to determine the impact of neural injury on Health-related Quality of Life scores (HRQOLs). 30.9% of patients suffered any ASIA lower extremity motor score (LEMS) worsening during the first 6 months after surgery. The purpose of this analysis is to define the impact of new LEMS deficit on HRQOL metrics and recovery of those measures after surgery in the first 6 months. We hypothesized that new motor deficits (defined by LEMS worsening) will lead to worsened HRQOL scores, after correction of adult spinal deformity. Material and Methods Patients aged 18–80 years with a diagnosis of adult spinal deformity were eligible for enrollment at 15 sites worldwide. Other inclusion criteria included major Cobb > 80 degrees, C7-L2 curve apex, and any patient undergoing 3 column osteotomy. ASIA scores and standard HRQOL scores (ODI, SRS, SF-36 mental, and SF-36 physical) were recorded pre-op, 6 weeks and 6 months. Patients were subdivided into three subcategories of LEMS change (≥2 points worsening, 1 pt worsening to no change, or LEMS improvement). Results 273 complex adult spinal deformity (ASD) patients enrolled, with 184 female (67%) and 89 male (33%) patients. Mean age was 56.9 years (SD 15.3, range 18–81). 30.9% of patients suffered a worsening of LEMS within the first 6 months post-surgery. HRQOL scores worsened as LEMS worsened. The 6 week HRQOL changes for LEMS ≤2 patients vs LEMS −1 to 0 vs improved LEMS patients were: ODI (11.6 vs 0.7 vs −0.6), SF-36 physical (−3.9 vs −1.6 vs 1.0), SF-36 mental (−1.5 vs 1.4 vs 0.6), and SRS total change (0 vs 0.4 vs 0.5), respectively. The 6 month HRQOL changes for LEMS < =2 patients vs LEMS −1 to 0 vs improved LEMS were: ODI (−6.8 vs −9.5 vs −14), SF-36 physical (0.6 vs 2.6 vs 6.2), SF-36 mental (−1.1 vs 3.8 vs 5.9), and SRS total change (0.3 vs 0.7 vs 0.8), respectively. Table 1 shows these data. While the database is not yet locked, these data are subject to minor changes. Conclusion In the subgroup of patients who developed a new lower extremity motor deficit after adult spinal deformity surgery, total HRQOLs and HRQOL changes were negatively impacted. Patients with 2 or more points of LEMS worsening had the worst HRQOL changes. However, even these patients showed overall improvement in ODI, SF-36 physical and SRS total scores at 6 months compared with pre-op baseline.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.011
GPT teacher head0.270
Teacher spread0.260 · 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 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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Citations0
Published2016
Admission routes1
Has abstractyes

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