[MEASURING THE FUNCTIONAL IMPAIRMENT OF THE LUMBAR SPINE].
Bibliographic record
Abstract
BACKGROUND AND PURPOSE: The purpose of our study was to outline the Hungarian validation process of the Oswestry Disability Index, the Quebec Back Pain Disability Scale, the Roland-Morris Disability Questionnaire and the Core Outcome Measurement Index, as well as to draw up recommendations regarding their future applications. METHODS: The Hungarian versions were created after a cultural and linguistic adaptation. Next to the above-mentioned questionnaires, the questionnaire booklet used for validation also contained the WHOQoL-BREF general quality of life questionnaire and a pain measuring Visual Analog Scale. The data of low-back pain patients were registered twice in two weeks. We determined the internal homogeneity (Cronbach alpha), reproducibility, standard error of measurement and the minimal detectable change of the questionnaires. Patients were assigned into different two subgroups (surgical / non-surgical, with/without affection of nerve roots) and differences between the subgroups were examined with the help of the questionnaires. We determined the physical subscale of the WHOQoL-BREF and the correlation between the pain and the studied questionnaires. RESULTS: The value of Cronbach alpha was between 0.85 and 0.95. All four questionnaires showed significant differences (p<0.001) between the subgroups. The correlation studies brought strong and significant results (p<0.001, r>0.5) in every case. The values of reproducibility were between 0.93-0.92. The results of standard measurement error: 4.8 (Oswestry), 5.2 (Quebec), 1.6 (Roland-Morris), 0.59 (Core Index). The minimal detectable change was 13; 14; 4, and 2 points, respectively. CONCLUSION: The Hungarian versions of all four questionnaires are valid. They can be applied with scientific certainty to measure low back pain patients. From the studied questionnaires, we especially recommend the wide-raging application of the Oswestry Disability Index and the Core Outcome Measurement Index based on their psychometric and application features.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".