Correlation between Visual Analogue Scale and Short form of McGill Questionnaire in Patients with Chronic Low Back Pain
Bibliographic record
Abstract
Background and Objectives: Pain assessment in patients with chronic pain is very important. This study was performed to evaluate the pain severity and the correlation between visual analogue scales (VAS) and short form of McGill questionnaires in patients with chronic low back pain.Methods: In a prospective descriptive study, pain intensity in 150 patients who were referred to the Physiotherapy Ward of Baghiatallah Hospital in Tehran, was measured by Mc-gill and VAS pain questionnaires, and then the correlation between these questionnaires was evaluated. Data was analyzed by Pearson correlation and regression statistical tests.Results: The patients’ pain intensity score was 8.36±0.9 by VAS and 39.04±4.2 By Mc-gill questionnaire, respectively. The data show that most of our samples had severe pain. The correlation between VAS and Mc-gill was r=0.86 that shows a very good correlation between these questionnaires. VAS as this formula predicts McGill: McGill=4.727+4.1(VAS), R²=0.771.Conclusion: Regarding the importance of pain evaluation and excellent correlation between VAS and Mc-gill, and the fact that VAS questionnaire is very easy to be completed, it seems that VAS questionnaire is superior to short form to McGill pain questionnaire to evaluate pain in patients with chronic low back pain.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".