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Record W1986821988 · doi:10.1179/106698105790824996

A Comparison of the McKenzie Approach to a Specific Spine Stabilization Program for Chronic Low Back Pain

2005· article· en· W1986821988 on OpenAlexfundaboutno aff
Eric R. Miller, Ronald Schenk, James L. Karnes, John G. Rousselle

Bibliographic record

VenueJournal of Manual & Manipulative Therapy · 2005
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsnot available
FundersMcGill University
KeywordsMedicinePhysical therapyMcGill Pain QuestionnaireWilcoxon signed-rank testMann–Whitney U testRandomized controlled trialLow back painChronic painStatistical significanceSurgeryAlternative medicineVisual analogue scaleInternal medicine

Abstract

fetched live from OpenAlex

The purpose of this randomized pragmatic controlled trial was to compare the effectiveness of two specific treatment approaches for patients with chronic low back pain. Thirty subjects with chronic low back pain were randomly assigned to either a McKenzie group or a specific stabilization group. The Functional Status Questionnaire, short-form McGill Pain Questionnaire (SF-MPQ), and passive straight leg raising (SLR) were administered at the initial examination and following a 6-week treatment program. Wilcoxon Signed-Ranks tests, and Mann-Whitney U-tests were used to analyze the data. The stabilization group demonstrated a statistically significant improvement in pain scores and in SLR range of the involved lower extremity (p<0.05). The McKenzie group improved in the present pain index of the SF-MPQ only (p<0.05). Between-group comparisons of changes in the dependent variable scores revealed no statistical differences between the groups.

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)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0070.000

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 head0.066
GPT teacher head0.388
Teacher spread0.321 · 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 designNon-randomized trial
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

Citations67
Published2005
Admission routes2
Has abstractyes

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