The Effect of Purslane Ointment on Chronic Musculoskeletal Pain in the Elderly
Bibliographic record
Abstract
Aims Chronic musculoskeletal pain is among the major problems of old age. An effective nursing intervention in relieving pain is the use of local herbal ointments. The present study evaluated the effect of purslane ointment on chronic musculoskeletal pain in the elderly. Methods & Materials This was a randomized, blinded clinical trial study and conducted in 2018, on 60 elderly residents of Gonabad City, Iran. The patients were recruited by convenience sampling method. The samples were randomly assigned to the purslane and placebo groups. The instrument used in this study was McGill pain questionnaire; its validity and reliability were confirmed in previous studies. The intervention was conducted for two weeks. The obtained data were analyzed by SPSS and at a significance level of P<0.05. Findings The collected results suggested that the purslane ointment could effectively reduce the sensory and emotional dimensions of pain, compared with placebo. The severity of pain in the elderly was significantly lower in the purslane group after two weeks of intervention, compared to the Pre-test phase. The mean score of pain in two sensory and emotional dimensions was not significantly different between the two genders. Conclusion The use of purslane ointment is effective in reducing musculoskeletal pain in the elderly; therefore, the use of this plant can be considered as a safe and cost-effective intervention by nurses.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Non-randomized trial | low |
| gpt | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Other design | low |
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 | 0.006 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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, unvalidatedLabeled directly by 2 models reading the full record.
The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.
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".