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Record W2753423049

Response Shift Following Surgery of the Lumbar Spine

2010· dissertation· en· W2753423049 on OpenAlexfundno aff
Joel Finkelstein

Bibliographic record

VenueTSpace (University of Toronto) · 2010
Typedissertation
Languageen
FieldMedicine
TopicSpine and Intervertebral Disc Pathology
Canadian institutionsnot available
FundersUniversity of Toronto
KeywordsOswestry Disability IndexMedicinePhysical therapySurgeryLumbarLow back painPathology
DOInot available

Abstract

fetched live from OpenAlex

This study is a prospective longitudinal outcome study investigating the presence of response shift in disease and generic functional outcome measures in 105 patients undergoing spinal surgery. The then-test method which compares pre-test scores to retrospective pre-test scores was used to quantitate response shift. There was a statistically significant response shift for the Oswestry Disability Index (ODI) (p=0.001) and the Short Form-36-PCS (p=0.078). At three months, seventy-two percent of patients exhibited a response shift with the ODI. Fifty-six and 21 percent of patients exhibited a response shift with the SF-36 physical and mental component scores respectively. When accounting for response shift and using the minimal clinically important difference, the success rate of the surgery at 3 months increased by 20 percent. The presence of response shift has implications for the measurement properties of standard spinal surgery outcome measures including the effect size of treatment and the number of responders to treatment.

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)0.002
metaresearch head score (Gemma)0.008
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 score0.002
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.015
GPT teacher head0.274
Teacher spread0.259 · 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".

Quick stats

Citations5
Published2010
Admission routes1
Has abstractyes

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