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Record W2562118389 · doi:10.1055/s-0036-1582788

The Minimum Clinically Important Difference of the modified Japanese Orthopaedic Association Scale in Patients with Degenerative Cervical Myelopathy

2016· article· en· W2562118389 on OpenAlexaff
Lindsay Tetreault, Branko Kopjar, Pierre Côté, Aria Nouri, Michael G. Fehlings

Bibliographic record

VenueGlobal Spine Journal · 2016
Typearticle
Languageen
FieldMedicine
TopicCervical and Thoracic Myelopathy
Canadian institutionsOntario Tech UniversityUniversity of Toronto
Fundersnot available
KeywordsMinimal clinically important differenceMedicineMyelopathyReceiver operating characteristicCohortOrthopedic surgeryPhysical therapyInternal medicineNuclear medicineSurgeryRandomized controlled trial

Abstract

fetched live from OpenAlex

Introduction The modified Japanese Orthopaedic Association (mJOA) score is the most frequently used clinician-administered tool to assess functional status in patients with degenerative cervical myelopathy (DCM). By defining the minimum clinically important difference (MCID) for this scale, clinicians can evaluate treatment outcomes for this condition and better interpret evidence from clinical studies. This study aims to establish the MCID of the mJOA in patients with CSM. Material and Methods Three different methods were used to determine the MCID of the mJOA: 1) distribution-based, 2) anchor-based and receiver operating characteristic (ROC) analysis and 3) professional opinion. The first two methods were accomplished using data from 517 patients enrolled in the AOSpine CSM-North America or CSM-International studies. Distribution-based methods were used to estimate the MCID by computing the half standard deviation and standard error of measurement. Using anchor-based methods, mJOA at 12-months after surgery was compared between patients who “slightly improved” on the Neck Disability Index (NDI) and those who were “unchanged.” ROC analysis was then performed to compute a discrete integer value for the MCID that yielded the smallest difference between sensitivity and specificity. Finally, MCID estimates were obtained by surveying members of AOSpine International. We repeated the anchor-based methods for patients with mild (mJOA: 15–17), moderate (mJOA: 12–14) and severe disease (mJOA < 12). Results Our cohort consisted of 315 men and 202 women, with ages ranging from 21 to 86 years (mean age: 56.37 ± 11.60). The mean baseline mJOA score was 12.48 ± 2.71. One hundred and twenty-nine patients were classified as mild (mJOA = 15–17) preoperatively, 208 as moderate (mJOA = 12–14) and 180 as severe (mJOA < 12). Based on the NDI at 12-months following surgery, 76 (14.70%) patients worsened (NDI < −7.5), 130 (25.15%) were unchanged (−7.5≤NDI < 7.5), 87 (16.83%) slightly improved (7.5≤NDI < 15) and 224 (43.33) showed marked improvements (15≤NDI). The half standard deviation of the baseline mJOA was 1.36 and the standard error of measurement was 1.21. The difference in mJOA between patients who “slightly improved” on the NDI and those who were “unchanged” was 1.11. ROC analysis yielded a value of 2 for the MCID (Fig. 1). The survey of 416 spine professionals confirmed these estimates: The mean response was 1.65 ± 0.66, although the most commonly selected answer was 2 (39.42%). The MCID significantly varied depending on myelopathy severity: ROC analysis yielded a threshold of 1 for mild patients, 2 for moderate patients and 3 for severe patient. Conclusion The MCID of the mJOA is estimated to be between 1 and 2 points and varies significantly with myelopathy severity. This knowledge will enable clinicians to identify meaningful functional improvements in surgically treated CSM patients.

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)0.009
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 score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.001
Research integrity0.0010.000
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 head0.007
GPT teacher head0.249
Teacher spread0.242 · 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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