Comparing Two Observational Systems in the Assessment of Knee Pain
Bibliographic record
Abstract
OBJECTIVE: Research has demonstrated the utility of the Pain Behavior Measurement (PBM) system as a pain index. PBM involves the recording of sighing, rubbing, grimacing, guarding and bracing. A modification of this system has been proposed, focusing on the occurrence of joint flexing, rubbing, unloading the joint, guarding and rigidity, specifically for patients with knee pain. The aim of the present study was to compare the original PBM to the modified version in a sample of knee replacement patients to assess the utility of the more specialized approach. It was expected that the more discomforting physiotherapy activities (knee bending and quadriceps exercises) would result in more pain behaviours than intermediate activities (walking and standing), which, in turn, would result in more pain behaviours than reclining. The extent to which each system reflected this expected pattern was examined. METHODS: Ninety-three seniors were observed while completing a series of structured post-knee surgery physiotherapy activities (knee bending, standing, walking, reclining and a quadriceps exercise). RESULTS: Analyses of self-reported levels of pain were consistent with the expected pattern of pain levels in relation to the physiotherapy activities. Specific pain behaviours within each system (eg, grimacing, rigidity) occurred in a manner consistent with the expected pattern, while other behaviours (e.g., rubbing the affected area) did not. CONCLUSIONS: Although there was no clear advantage for the modified system over the PBM, an optimal approach may involve combining specific behaviours from each system.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.015 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".