A Comparison of Pressure Pain Detection Thresholds in People With Chronic Low Back Pain and Volunteers Without Pain
Bibliographic record
Abstract
BACKGROUND AND PURPOSE: Palpation is often utilized in the physical examination of patients with low back pain. The purpose of this study was to compare the pressure pain detection threshold (PPDT) of people with chronic low back pain (CLBP) and subjects without pain. SUBJECTS AND METHODS: Thirty female subjects with CLBP were recruited from the offices of primary care physicians and physical therapists and compared with 30 female volunteers without pain for differences in PPDT at 6 sites tested bilaterally. RESULTS: A significantly lower mean PPDT was found for all test site groups in subjects with CLBP compared with subjects without pain. A lower global PPDT was found in subjects with CLBP compared with subjects without pain (5.6 lb/cm(2) versus 6.9 lb/cm2). This also was the case for PPDT for the group of test sites unrelated to the lumbar spine (5.1 lb/cm(2) versus 6.1 lb/cm(2)) and for PPDT related to the lumbar spine (5.9 lb/cm(2) versus 8.0 lb/cm(2)). DISCUSSION AND CONCLUSION: Neurobiological or biopsychosocial influences may have contributed to the lower PPDT evident in subjects with CLBP. Subjects with CLBP demonstrated a lower global PPDT compared with subjects without pain, which should be taken into account when interpreting findings of pain or tenderness from palpation.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".