The positive effect of pulse electromagnetic field therapy on pain and disability in chronic low back pain: a comparative study
Bibliographic record
Abstract
BACKGROUND: Low back pain that lasts longer than three months is called chronic low back pain. Chronic low back pain is among the most common problems in the world, causing severe disability and loss of employment in patients. OBJECTIVE: To investigate the effect of pulse electromagnetic field therapy (PEMFT) added to routine physical therapy on pain and functional status in patients with chronic low back pain. METHODS: This retrospective comparative study included 69 patients with chronic low back pain. The patients were divided into two groups: those who received lumbar transcutaneous electrical nerve stimulation, infrared, and ultrasound treatments, and those who additionally received PEMFT. The files of patients with chronic low back pain were reviewed, and those who had been evaluated using the Quebec Back Pain Disability Scale (QBPDS) in terms of functional capacity and effects of low back pain and the Visual Analogue Scale (VAS) for pain both before and after treatment were included in the study. RESULTS: No significant difference was detected between the two groups' pretreatment VAS and QBPDS scores (p > 0.05). The second-and-third measurement scores of both groups were significantly lower than their first-measurement VAS and QBPDS scores (p ˂ 0.001), but there was no significant difference between their second- and third-measurement scores (p > 0.05). According to the inter-group comparison of the VAS and QBPDS scores, the second and third-measurement scores of the PEMFT group were significantly lower than those of the control group (p ˂ 0.001). CONCLUSIONS: PEMFT seems to be able to alleviate pain intensity and ameliorate disability in patients with chronic low back pain. PEMFT can be considered an effective and safe option that can be added to routine physical therapy modalities for relieving chronic low back pain frequently encountered in clinical practice. Further studies validating the effectiveness of PEMFT could strengthen its position in the management of chronic low back pain.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 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) | 0.003 | 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".